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New Salesforce Maps Experience Auto-Enabled in Winter ‘25 (October) Release

Christmas 2024

With artificial Christmas trees and holiday inflatables already appearing alongside Halloween decorations at big-box retailers, (and in neighbors’ yards before the first drop of pumpkin spice has been sipped) it’s clear that the holiday season is beginning earlier than ever this year. However, according to a new forecast from Salesforce, the expected holiday sales boost may be somewhat modest. Salesforce projects a 2 percent increase in overall sales for November and December, a slight drop from the 3 percent increase seen in 2023. The forecast highlights that consumers are facing higher debt due to elevated interest rates and inflation, which is likely to diminish their purchasing power compared to recent years. About 40 percent of shoppers plan to cut back on spending this year, while just under half intend to maintain their current spending levels. Adding to the challenge is the brief holiday shopping window between Thanksgiving and Christmas this year—only 27 days, the shortest since 2019. This data comes from Salesforce’s analysis of over 1.5 billion global shoppers across 64 countries, with a focus on 12 key markets including the U.S., Canada, U.K., Germany, and France. Shopping Trends and Strategies In terms of shopping habits, bargain hunters are expected to turn to platforms like Temu, Shein, and other Chinese-owned apps, with nearly one in five holiday purchases anticipated from these sources. TikTok is seeing rapid growth as a sales platform, with a 24 percent increase in shoppers making purchases through the app since April. For businesses, the focus on price is likely to intensify. Two-thirds of global shoppers will let cost dictate their shopping decisions this year, compared to 46 percent in 2020. Less than a third will prioritize product quality over price when selecting gifts. This trend suggests a busy Black Friday and Cyber Monday, with two-thirds of shoppers planning to delay major purchases until Cyber Week to seek out bargains. Salesforce forecasts an average discount of 30 percent in the U.S. during this period. Caila Schwartz, director of strategy and consumer insights at Salesforce, notes, “This season will be competitive, intense, and focused heavily on pricing and discounting strategies.” Shipping and Technology Challenges The shipping industry also poses a potential challenge, with container shipping costs becoming increasingly unstable. Brands and retailers are expected to incur an additional $197 billion in middle-mile expenses—a 97 percent increase from last year. To counter the threat from discount online retailers, stores with online capabilities should enhance their in-store pickup options. Salesforce predicts that buy online, pick up in store (BOPIS) will account for up to one-third of online orders globally in the week leading up to Christmas. Additionally, while still emerging, artificial intelligence (AI) is expected to play a role in holiday sales, with 18 percent of global orders influenced by predictive and generative AI, according to Salesforce. As retailers navigate these complexities, strategic pricing and efficient logistics will be key to capturing consumer attention and driving holiday sales. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Competitive Landscape of Retail

Navigate the Competitive Landscape of Retail

A shorter shopping season, the rise of Chinese shopping apps, and value-conscious consumers are expected to result in modest growth this holiday season. According to Salesforce’s 2024 holiday shopping forecast, U.S. holiday sales (Nov. 1 – Dec. 31) are projected to grow 2% year-over-year, reaching $277 billion. Global sales are also predicted to increase by 2%, totaling .19 trillion. This reflects softer growth compared to 2023, when global holiday sales rose by 3%. Challenges Ahead Salesforce warns that the 2024 holiday season may be difficult for retailers, with consumers having less spending power, a shortened 26-day shopping window between Thanksgiving and Christmas, and 43% of shoppers carrying more debt than last year. Additionally, 47% of surveyed shoppers plan to spend the same as in 2023, while 40% intend to spend less. New data from Salesforce’s Shopping Index shows that two-thirds of global consumers say price will dictate their shopping choices, while less than a third will prioritize product quality. Impact of Chinese Shopping Apps Salesforce predicts that 21% of holiday purchases will come from Chinese apps like Temu, Shein, AliExpress, and TikTok, with 35% of consumers reporting increased use of these apps. TikTok, in particular, saw a 24% increase in purchases since April 2024, highlighting the growing influence of Chinese platforms on holiday shopping. Retail Strategies To navigate the competitive landscape, Salesforce recommends retailers use strategic discounts and AI-powered tools to improve efficiency, enhance customer relationships, and boost profit margins. “This season will be competitive and focused on pricing strategies,” said Caila Schwartz, Salesforce’s director of strategy and consumer insights. “Leveraging AI and customer data is essential to guide marketing campaigns and holiday promotions.” Key Findings Salesforce’s insights are based on data from 1.5 billion global shoppers across 64 countries, focusing on 12 key markets, including the U.S., Canada, and U.K. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Commerce Cloud and Agentic AI

Commerce Cloud and Agentic AI

Recognizing the demand from both B2B and B2C buyers for seamless, consistent commerce experiences across online and offline channels, Salesforce has introduced an AI-powered, unified commerce version of its Commerce Cloud platform. Salesforce, a leader in merging ecommerce and CRM software, has taken a significant step toward unified commerce with this next-generation update to Salesforce Commerce Cloud. This move aligns with the expectations of both B2B buyers and consumers, who increasingly seek integrated and personalized interactions. The company states that Commerce Cloud now “natively connects all aspects of commerce—B2C, direct-to-consumer, and B2B commerce; order management; and payments—with sales, service, and marketing, all on a single platform.” This integration offers businesses a complete view of the customer journey through a shared catalog and user profile. By unifying elements like catalogs, pricing, orders, and marketing segments, companies can deliver personalized interactions, boost customer loyalty, and drive revenue across all touchpoints. Unified Commerce: A $1.5 Trillion Opportunity Salesforce cites research from Adyen, which indicates that adopting unified commerce strategies could present a $1.5 trillion opportunity for retailers globally. In North America, 76 of the top 2000 online retailers use Salesforce’s ecommerce platform. In 2023, these retailers generated over 6 billion in web sales. Salesforce’s B2B clients include major companies such as Siemens, Schneider Electric, GE Renewable Energy, and Chambers Gasket. AI-Powered Commerce Cloud Salesforce emphasizes that AI powers key aspects of its next-generation Commerce Cloud, enabling the platform to autonomously manage tasks like product recommendations and order lookups by leveraging data from digital and in-store interactions, orders, inventory levels, customer reviews, unified profiles, and CRM information. The AI-backed “Agentforce” agents are designed to assist employees in delivering personalized interactions, strengthening customer relationships, and improving profit margins. According to Justin Racine, Principal of Unified Commerce at Perficient, Salesforce’s efforts to unify the commerce experience across its broad range of products align with the needs of both B2B buyers and consumers. He notes that modern buyers expect brands to connect and communicate with them based on their previous behaviors, preferences, and purchases. Unlocking Revenue with Agentforce Michael Affronti, Senior Vice President and General Manager of Commerce Cloud, highlights that this new version embodies unified commerce by providing businesses with a single, integrated platform. The platform consolidates the entire commerce journey, with AI-powered Agentforce agents unlocking new revenue streams and delivering personalized experiences across every channel. Furniture designer and manufacturer MillerKnoll has already benefited from the unified platform. Frank DeMaria, Vice President of Digital Engineering & Platforms, mentions that the integration of sales, service, marketing, and other functions has helped the company offer personalized experiences and improve online sales and customer satisfaction across its portfolio of brands, including HermanMiller. Key Features of the New Commerce Cloud Racine adds that Salesforce’s new release unifies its product suite under a cohesive platform, providing marketers and business users with a comprehensive 360-degree view of the customer. This enables brands to build experiences and ordering workflows that are predictive rather than reactive. The integration of Agentforce represents a breakthrough, blending AI with brand interactions to unlock potential gains for merchandisers and buyers, and Racine is excited to see how these technologies enhance revenue and customer loyalty. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Discharge Planning

Discharge Planning

Discharge planning is crucial for smoothly transitioning patients from hospital care to the next stage of their recovery. This process requires collaboration among patients, caregivers, and providers to create a personalized plan that ensures continuity of care after hospitalization. Effective discharge planning must consider the patient’s care needs, preferences, and concerns. When done well, it helps prevent readmissions and alleviates strain on both patients and hospitals. However, balancing clinical judgment with patient data can challenge care teams already burdened with heavy workloads. Jean Halpin, COO at Grant Medical Center, shared how the organization has integrated AI tools to predict discharge dates and automate parts of the discharge planning process, helping to streamline patient care. Challenges of Effective Discharge Planning Halpin emphasized that a streamlined discharge process is essential for reducing wait times and improving patient engagement. Yet, various factors influence how quickly patients are discharged, particularly in emergency rooms where delays can affect overall patient flow. “Most of the wait time we experience as patients boils down to a lengthy discharge process that isn’t effectively moving patients,” Halpin explained. “It’s a domino effect. Someone waiting in the ER for a bed is delayed because another patient hasn’t been discharged when they should have been.” To address these inefficiencies, Grant Medical Center implemented the Qventus Inpatient Solution. This tool integrates with electronic health records (EHRs) to analyze patient data—such as clinical notes, history, and labs—and provides recommendations on discharge timing. These insights have helped reduce ER wait times and improved patient flow. Integrating AI into Clinical Workflows Adopting AI in healthcare comes with integration challenges, particularly ensuring that tools enhance, rather than hinder, clinicians’ workflows. Halpin noted that the Qventus tool minimizes disruptions by seamlessly pulling EHR data to generate an estimated discharge date, allowing care teams to focus on patient care without extra administrative burdens. “As a patient’s health changes, the [discharge] date can fluctuate, but AI uses its data to predict the most accurate day based on similar cases,” Halpin explained. “The care teams can then review the date and determine whether they agree, without having to sift through records to develop their own recommendation.” Halpin also highlighted the value of AI in reducing the administrative load. Tasks like coordinating discharges to rehab facilities, ordering tests, and prescribing medication consume significant time, and automating these functions allows care teams to focus more on direct patient care. Embracing AI to Alleviate Healthcare Worker Burdens For healthcare systems adopting AI, accurately assessing its impact is critical. At Grant Medical Center, leadership is measuring success by evaluating employee satisfaction, patient outcomes, and administrative improvements—such as time and cost savings. “By improving our patient flow, we reduced unnecessary stays by nearly 1,400 days. Patients are happy to go home on time, and our care teams can focus on working at the top of their license,” said Halpin. Despite the benefits, Halpin stressed that implementing AI requires thoughtful onboarding to ensure staff are comfortable with the new tools. Training and support are key to making the transition seamless and enabling teams to see how AI can enhance their workflows. “Health system leaders should embrace advancements that help alleviate burdens for workers,” she said. “Once teams understand the tool, they can prioritize patient care while AI handles the time-consuming admin tasks.” Halpin concluded that embracing AI in discharge planning not only improves operational efficiency but also empowers healthcare teams to deliver better, more focused care. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Exploring Emerging LLM

Exploring Emerging LLM

Exploring Emerging LLM Agent Types and Architectures The Evolution Beyond ReAct AgentsThe shortcomings of first-generation ReAct agents have paved the way for a new era of LLM agents, bringing innovative architectures and possibilities. In 2024, agents have taken center stage in the AI landscape. Companies globally are developing chatbot agents, tools like MultiOn are bridging agents to external websites, and frameworks like LangGraph and LlamaIndex Workflows are helping developers build more structured, capable agents. However, despite their rising popularity within the AI community, agents are yet to see widespread adoption among consumers or enterprises. This leaves businesses wondering: How do we navigate these emerging frameworks and architectures? Which tools should we leverage for our next application? Having recently developed a sophisticated agent as a product copilot, we share key insights to guide you through the evolving agent ecosystem. What Are LLM-Based Agents? At their core, LLM-based agents are software systems designed to execute complex tasks by chaining together multiple processing steps, including LLM calls. These agents: The Rise and Fall of ReAct Agents ReAct (reason, act) agents marked the first wave of LLM-powered tools. Promising broad functionality through abstraction, they fell short due to their limited utility and overgeneralized design. These challenges spurred the emergence of second-generation agents, emphasizing structure and specificity. The Second Generation: Structured, Scalable Agents Modern agents are defined by smaller solution spaces, offering narrower but more reliable capabilities. Instead of open-ended design, these agents map out defined paths for actions, improving precision and performance. Key characteristics of second-gen agents include: Common Agent Architectures Agent Development Frameworks Several frameworks are now available to simplify and streamline agent development: While frameworks can impose best practices and tooling, they may introduce limitations for highly complex applications. Many developers still prefer code-driven solutions for greater control. Should You Build an Agent? Before investing in agent development, consider these criteria: If you answered “yes,” an agent may be a suitable choice. Challenges and Solutions in Agent Development Common Issues: Strategies to Address Challenges: Conclusion The generative AI landscape is brimming with new frameworks and fervent innovation. Before diving into development, evaluate your application needs and consider whether agent frameworks align with your objectives. By thoughtfully assessing the tools and architectures available, you can create agents that deliver measurable value while avoiding unnecessary complexity. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce AI Evolves with the Generative AI Landscape

Salesforce AI Evolves with the Generative AI Landscape

Salesforce AI: Powering Customer Relationship Management Salesforce is a leading CRM solution that has long delivered cutting-edge cloud technologies to manage customer relationships effectively. In recent months, the platform has further advanced with the integration of generative AI and AI-powered features, primarily through its AI engine, Einstein. Salesforce AI Evolves with the Generative AI Landscape. To explore how AI operates within the Salesforce ecosystem and how various business teams can leverage these innovations, this guide delves into Salesforce’s AI capabilities, products, and features. Salesforce AI: Transforming CRM Capabilities Salesforce remains a top choice in the CRM software market, offering one of the most comprehensive solutions for managing relationships across departments, industries, and initiatives. Through dedicated cloud platforms, Salesforce enables teams to oversee marketing, sales, customer service, e-commerce, and more, with tools focused on delivering enhanced customer experiences supported by powerful data analytics. With the introduction of generative AI, Salesforce has significantly elevated its native automation, workflow management, data analytics, and assistive capabilities for customer lifecycle management. Einstein Copilot exemplifies this innovation, aiding internal users with tasks such as outreach, analysis, and improving external user experiences. What is Salesforce Einstein? Salesforce Einstein is an AI-driven suite of tools integrated natively into various Salesforce Cloud applications, including Sales Cloud, Marketing Cloud, Service Cloud, and Commerce Cloud. It also operates through assistive technologies like Einstein Copilot. Einstein is built on a multitenant platform and incorporates numerous automated machine learning features to unify organizational data with CRM capabilities. Designed to make intelligent, data-driven decisions, Einstein requires no additional installation, offering a seamless user experience when paired with a compatible subscription plan. 7 Key Features of Salesforce Einstein 7 Applications of Salesforce Einstein Future Trends in Salesforce AI Bottom Line: Salesforce AI Evolves with the Generative AI Landscape Salesforce continues to enhance its AI-powered features, keeping pace with advancements in generative and predictive AI. Whether new to the platform or a seasoned user, Salesforce offers innovative, AI-centric solutions to streamline customer relationship management and business operations. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and Tenyx

Salesforce and Tenyx

Salesforce has announced its acquisition of AI voice agent firm Tenyx, with the deal expected to close in the third quarter. While the financial terms have not been disclosed, Tenyx’s co-founders, CEO Itamar Arel and CTO Adam Earle, along with their team, will join Salesforce as part of the acquisition. This move comes after Salesforce, under pressure from activist investors, previously shifted away from acquisitions and increased its share buybacks following the dissolution of its mergers and acquisitions committee. However, the company is now pursuing strategic acquisitions to boost revenue growth. Conversational AI forthe Enterprise Tenyx Voice is an Interactive Virtual Agent (IVA) built from the ground up leveraging today’s modern AI stack. Built by a team with a proven track record in voice AI, and leveraging a unique core AI and voice platform, Tenyx promises to redefine customer interactions for the enterprise. Tenyx Voice is an Interactive Virtual Agent (IVA) built from the ground up leveraging today’s modern AI stack. Built by a team with a proven track record in voice AI, and leveraging a unique core AI and voice platform, Tenyx promises to redefine customer interactions for the enterprise. Industries and Use Cases If 2023 was the year of large language models (LLMs), 2024 is shaping up to be the year of voice agents. When ChatGPT made waves globally, startups, tech firms, and entrepreneurs rushed to discover business use cases for the new technology. The ideal applications targeted tasks that are costly, time-consuming, and hard to scale. Voice agents and automated customer service systems quickly emerged as one of the most promising solutions. However, many companies deploying these systems aren’t fully considering their impact on customers. That’s why Tenyx is launching its inaugural Voice AI Consumer Report. We surveyed hundreds of Americans across different age groups, races, geographies, and genders to better understand their preferences and experiences with AI-powered voice agents. Here are the key findings: What this means: Frustrating Calls Hurt Your Brand Imagine calling customer service for a quick solution, only to be met by an automated voice agent that can’t understand your request or handle complex issues. It’s a common and frustrating experience. Our data shows that nearly 7 in 10 people express frustration or annoyance with today’s automated voice agents—sentiments that can severely damage customer loyalty and business outcomes. “Our report highlights a major disconnect between consumer expectations and the performance of current automated voice agents,” says Itamar Arel, CEO of Tenyx. “While these systems promise efficiency and cost savings, they often fall short when it comes to addressing consumers’ nuanced needs.” Incomplete AI Systems Drive Customer Churn Subpar AI systems are driving customers away. Two-thirds of respondents said they wouldn’t return to a company after a negative experience with its AI voice agent. In fact, 67% still prefer interacting with human agents over automated ones. Why? Current AI voice agents struggle with complex issues and fail to provide the empathy and problem-solving skills that human agents, or more advanced AI systems, offer. Selective Deployment and Industry-Specific Agents Matter Our data shows that consumers are more accepting of voice agents in certain industries than others. Sectors like healthcare, restaurants, and telecoms saw the highest satisfaction with AI voice agents, while airlines, banking, and hotels ranked the lowest. This highlights the importance of selective deployment and tailoring voice agents for specific industries to better meet customer needs. Looking Ahead: The Promise of Perfect Automation Despite the skepticism, there’s hope. Two-thirds of respondents indicated they’d embrace automated voice agents if these systems could match the performance of human agents. This is exactly what we’re working on at Tenyx—building scalable, reliable AI agents that serve businesses and customers globally. “As leaders in voice AI technology, Tenyx is dedicated to closing the gap between consumer expectations and technological capabilities,” Arel says. “Our mission is to equip businesses with AI solutions that not only streamline operations but also boost customer satisfaction.” Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Connected Vehicles

Connected Vehicles

Revolutionizing the Automotive Industry: Salesforce’s Connected Car App The automotive industry has always been a beacon of innovation, consistently pushing the boundaries to enhance the driving experience. From the iconic Model T and the assembly line to today’s electric and autonomous vehicles, the evolution of automobiles has been driven by an unyielding pursuit of progress. I actually purchased a new-to-me car today, and with the connected vehicle on the horizon I’m kind of glad I’ll be able to upgrade in a couple years. Bluetooth and back up cameras are great. But a car that can tell the dealership to get me on the horn before some automotive calamity occurs? The future is here, my friends. Connected Vehicles for Better Experiences Now, as digital transformation reshapes industries, a new chapter is emerging in automotive innovation: the connected car. Leading this charge is Salesforce, a global powerhouse in customer relationship management (CRM), with the introduction of its groundbreaking Connected Car App, poised to redefine in-car experiences for both drivers and passengers. From my personal buying experience today, the car business could use some customer relationship management! The Future of In-Car Connectivity Salesforce’s Connected Car App is more than just a technological enhancement; it represents a fundamental shift in how we interact with our vehicles. By leveraging Salesforce’s Customer 360 platform, this app creates personalized, engaging experiences that go far beyond traditional automotive features. The Connected Car App is designed to make every journey more intuitive and efficient, offering real-time insights and services tailored to the unique needs of each driver. Whether it’s maintenance alerts, optimized route suggestions based on traffic, or personalized entertainment options, the app transforms the car into a truly smart companion on the road. A GPS feature? I guess I can plan on deleting Waze off my phone in the near future! Powered by Salesforce Customer 360 At the heart of the Connected Car App is Salesforce’s Customer 360 platform, which delivers a comprehensive, 360-degree view of each customer. This integration ensures that the app provides tailored experiences based on a deep understanding of the driver’s preferences, habits, and history. It isn’t going to just know you by a vehicle loan number, a VIN number, or even just an email address. For instance, a driver who frequently takes long road trips might receive customized recommendations for rest stops, dining options, and attractions along their route. Meanwhile, commuters could benefit from real-time updates on traffic, weather, and parking availability. The app’s ability to anticipate and respond to the driver’s needs in real time distinguishes it from traditional in-car systems. I can just hear my car now, advising me it has been one hour since I stopped for coffee, and she’s worried about my sanity. Enhancing Customer Loyalty and Satisfaction with Connected Vehicles The Connected Car App offers significant potential to boost customer loyalty and satisfaction. By delivering a personalized driving experience, automakers can strengthen relationships with customers, transforming each driving journey into an opportunity to build brand loyalty. If Toyota is suddenly going to treat me like Shannan Hearne instead of customer # xxxxx would be ecstatic. Additionally, the app’s capability to collect and analyze data in real time opens new avenues for automakers to engage with their customers. Predictive maintenance reminders, targeted promotions, and special offers are just a few examples of how the app fosters a deeper connection between the brand and the driver. Oh, yeah. My connected vehicle app is DEFINITELY going to be talking to me about changing my oil (I’m not exactly diligent), how great the latest model of Toyota is (I drove a Corolla for 18 years and have also owned a Tacoma, a Tundra, and a Prius), and if it would add coffee coupons I would be golden. A New Era of Automotive Innovation Salesforce’s Connected Car App marks a pivotal moment in the automotive industry’s digital transformation. As vehicles become increasingly connected, the opportunities for innovation are boundless. Salesforce is at the forefront with a solution that not only enhances the driving experience but also empowers automakers to build stronger, more meaningful relationships with their customers. In a world where customer expectations are constantly growing, the Connected Car App is a game-changer. Customers, even car owners, expect their brands to know them and recognize them. By integrating Salesforce’s CRM capabilities directly into vehicles, the app creates a seamless, personalized experience that stands out. As we look ahead, it’s clear that the Connected Car App is just the beginning of an exciting new era of automotive innovation. As a marketer at heart and a technologist by trade, I’m really excited about the potential here. Connected Vehicle: A Unified Digital Foundation Salesforce’s Connected Vehicle platform provides automakers with a unified, intelligent digital foundation, enabling them to reduce development time and roll out features and updates faster than ever before. This platform allows seamless integration of vehicle, Internet of Things (IoT), driver, and retail data from various sources, including AWS IoT FleetWise and Snapdragon® Car-to-Cloud Connected Services Platform, to enhance driver experiences and ensure smooth vehicle operation. Can you imagine a smart app like the Connected Vehicle talking to your loyalty apps for gas stations, convenience stores, and grocery stores? I would be driving down the interstate and the app will tell me there is a Starbucks ahead AND I have a 10% off coupon. Automakers and mobility leaders like Sony Honda Mobility are already exploring the use of Connected Vehicle to deliver better experiences for their customers. The platform’s ability to access and integrate data from any source in near real time allows automakers to personalize driver experiences, in-car offers, and safety upgrades. Why It Matters By 2030, every new vehicle sold will be connected, and the advanced, tech-driven features they provide will be increasingly important to consumers. A recent Salesforce survey revealed that drivers already consider connected features to be nearly as important as a car’s brand. Connected Vehicle accelerates this evolution, enabling automakers to immediately deliver branded, customized experiences tailored to

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Salesforce Holiday Forecast

Salesforce Holiday Forecast

Value-conscious consumers are increasingly opting for lower-cost options, waiting strategically for discounts, and turning to budget-friendly Chinese shopping apps, leading to a projected 2% year-over-year (YoY) growth in holiday sales both in the U.S. and globally, according to the Salesforce Shopping Index. This index analyzes data from over 1.5 billion global consumers on retail sites. The Salesforce Holiday Forecast isn’t necessarily bleak, but it will leave some merchants feeling glum. In 2023, holiday sales grew by 3% YoY, reaching .17 trillion. However, Salesforce forecasts that global sales for November through December 2024 will only reach .19 trillion, with the U.S. contributing $277 billion. This modest projection aligns with Salesforce consumer surveys, which indicate that while 47% of shoppers plan to spend the same amount as in 2023, 40% intend to spend less this year. “The global economy remains fraught with risks, despite inflation stabilizing,” said Rob Garf, VP and General Manager of Consumer Goods at Salesforce, during a recent briefing. “Interest rates are still high, global conflicts are disrupting supply chains, and we see consumers transferring inflationary costs to debt.” Indeed, a Salesforce survey conducted earlier this month revealed that 37% of consumers are using credit cards more frequently than last year, 32% are turning to buy now, pay later (BNPL) services, and 43% are carrying more monthly debt. Rising Popularity of Chinese Shopping Apps Consumers seeking value are gravitating towards deep-discount Chinese shopping apps like Temu, Shein, and increasingly, TikTok. According to Salesforce’s August 2024 survey, 63% of consumers have made a purchase through these apps in the past six months, and 50% plan to use them during the holiday season. These figures are even higher among Gen Z and millennial consumers, with 80% having purchased from these apps in the past six months and nearly 70% planning to do so during the holidays. Overall, Salesforce predicts that Chinese shopping apps will account for just over 21% of holiday purchases! “Temu and Shein lead the pack, but TikTok is gaining traction, up 24% since April, making it the third most popular app,” said Caila Schwartz, Director of Consumer Insights and Strategy at Salesforce. Consumers cite value as the primary reason for using these apps (58%), far ahead of fast shipping (28%). Consumers Plan to Wait for Cyber Week Deals Many shoppers intend to stretch their budgets by holding off on purchases until Cyber Week, the period around Thanksgiving that includes Black Friday and Cyber Monday. “In 2023, price-conscious consumers waited for Cyber Week to make purchases, and we expect this trend to be even stronger this year,” Schwartz noted. Salesforce data shows that 67% of shoppers are delaying “splurge” purchases until Cyber Week. Salesforce forecasts that global discount rates will briefly rise in October, likely coinciding with the fall edition of Amazon Prime Day, when many retailers run promotions to capture the holiday season’s momentum. Discount rates are expected to peak at an average of 28% globally during Cyber Week, with U.S. discounts forecasted to reach 30%. Shorter Season Highlights BOPIS Importance With only 27 days between Thanksgiving (Nov. 28) and Christmas this year, retailers with strong buy online, pick up in-store (BOPIS) offerings will have a significant advantage. Salesforce predicts that BOPIS will account for one-third (33%) of global online orders during the week before Christmas and Boxing Week. The compressed season will increase the pressure on retailers to execute BOPIS effectively, as failing to meet customer expectations could have serious reputational costs. “Retailers can extend the digital shopping season with BOPIS, but the real winners will be those who can deliver on it,” Garf emphasized. “Store associates are already feeling the strain, especially during the holidays, and some retailers have scaled back their BOPIS offerings, citing increased anxiety among both staff and customers.” Holiday Strategy: Prioritize Customer Acquisition To capture a share of what may be a smaller holiday “pie,” retailers should focus on customer acquisition—and the sooner, the better. With the 2024 elections in the U.S. and many other countries, advertising costs and space availability will be at a premium, making it harder for brands to reach consumers. “Online traffic is cheaper now than it will be in a few months, when political ad spending ramps up,” said David Oksman, VP of Marketing and DTC at Samsonite, who joined Garf and Schwartz at the briefing. “Acquisition costs will rise even more than we’ve seen before.” One additional challenge of holiday sales in an election year. Oksman recommends tried-and-true tactics for driving acquisition and gathering customer data: “Fall is a great time for sweepstakes and giveaways. The old playbooks still work, and customer acquisition is gold.” A sweepstakes prize like a shopping spree or offering exclusive early access to products or deals can incentivize consumers to share their email addresses with a brand. “Loyalty programs are another strong value proposition in the consumer’s mind,” Schwartz added. “Even if you’re not offering points, benefits like free returns or shipping can encourage shoppers to sign up.” Right now is the best time to engage in reactivation campaigns to old customers and prospects. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and the Connected Car

Salesforce and the Connected Car

The concept of the Connected Car has been a topic of discussion for years, often accompanied by ambitious predictions from consultants about its market potential. For example, McKinsey in 2021 projected that by 2030, Connected Cars would constitute 95% of all vehicles on the road. Central to the success of these vehicles is data, with each one generating approximately 25 GB of data per hour. That’s a lot of data. Like a whole truckload of data! Salesforce and the Connected Car is uniquely a perfect fit. However, this raises two critical questions. First, do consumers actually understand what a Connected Car is? Second, if they do, are they comfortable sharing their personal data with automakers to enhance their driving experience? In January, Salesforce conducted a study of 2,188 car owners in the U.S., revealing some unsettling insights. A significant portion of drivers—over two-thirds (65%)—are unfamiliar with the concept of a Connected Car. Even more telling, over a third (37%) had never heard the term before. As of now, two-thirds of respondents either don’t have connected features in their cars or are not using them if they do. This includes features like Apple CarPlay and others. Personally, while shopping for a car I look for all those connected bells and whistles. On the flip side, this presents a considerable opportunity for automakers. According to Salesforce’s data, drivers expressed a willingness to pay a premium for advanced features, such as driver assistance, touchscreens, and smartphone integration. When it comes to sharing personal data, however, there’s still work to be done. While over half of respondents (54%) are comfortable with cars collecting data on vehicle diagnostics or seatbelt usage (35%), fewer are okay with data collection on driving speed (34%) or route history (31%). The discomfort grows when it comes to more sensitive data like voice recordings (17%), biometrics (13%), or text messages (12%). There are incentives that could encourage data sharing. For example, over two-thirds of respondents (67%) would be willing to exchange personal data for better insurance rates. Other incentives include advanced driver personalization (43%), such as customized seat and mirror settings, and enhanced personal safety features like real-time health monitoring (36%). Introducing Salesforce Connected Vehicle Salesforce for the Automotive IndustryIn response to these trends, Salesforce has introduced Connected Vehicle, a new application within the Automotive Cloud, alongside new partnerships with Qualcomm and AWS. These innovations aim to help automakers create the cars of the future. According to Salesforce: With a single console and a ready-to-use set of industry-specific, low-code/no-code development tools, Connected Vehicle helps automakers roll out new services and features to drivers faster. It enables bidirectional, over-the-air (OTA) capabilities for data sharing and software updates between the cloud and the vehicle via wireless or cellular networks. Key features for automakers include: Connected Vehicle is available today, with additional features like Connected Vehicle Summary, Interaction Summary, Warranty Summary, and Sales Agreement expected to be generally available in the fall. Why Now? The Connected Car has been around in some form since 2005, but according to Achyut Jajoo, SVP & GM of Automotive at Salesforce, connectivity is just the beginning. He explains: “One big challenge for automakers was that once a car left the factory, it was difficult to update its software or add new capabilities. The car was limited to the features it shipped with, unless you took it back to the dealership. But today, the fundamental architecture of these vehicles is changing. I often describe it as a phone on wheels. With standardized chips and modules, data can now be pushed to the cloud, allowing for real-time control and updates.” This shift means that once a vehicle leaves the factory, its performance and features can evolve over time. This “software-defined vehicle” revolution allows for continuous enhancements and the deployment of new capabilities that weren’t possible before. While connectivity is an essential piece, this software-driven approach is the real game changer. As for Salesforce’s role and its partnerships with AWS and Qualcomm, Jajoo says: “We are known for taking data and creating customer experiences. When we looked at the automotive market, we saw how complicated it is. We heard horror stories and realized that by partnering with other tech powerhouses, we could provide an end-to-end solution. This approach was shaped by our discussions with customers who said they struggled with these challenges and would love for us to collaborate.” Final Thought We may not be close to McKinsey’s 95% prediction quite yet, but the trajectory is clear. With data being central to success—and consumer trust in how that data is used—Salesforce’s collaboration with AWS and Qualcomm seems like a smart move. Apparently I am the ideal customer as I want my vehicle connected! By Tectonic’s Senior Consultant, Shannan Hearne Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. 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Generative AI Overview

Generative AI Overview

Editor’s Note: AI Cloud, Einstein GPT, and other cloud GPT products are now Einstein. For the latest on Salesforce Einstein The Rise of Generative AI: What It Means for Business and CRM Generative artificial intelligence (AI) made headlines in late 2022, sparking widespread curiosity and questions about its potential impact on various industries. What is Generative AI? Generative AI is a technology that creates new content—such as poetry, emails, images, or music—based on a set of input data. Unlike traditional AI, which focuses on classifying or predicting, generative AI can produce novel content with a human-like understanding of language, as noted by Salesforce Chief Scientist Silvio Savarese. However, successful generative AI depends on the quality of the input data. “AI is only as good as the data you give it, and you must ensure that datasets are representative,” emphasizes Paula Goldman, Salesforce’s Chief Ethical and Humane Use Officer. How Does Generative AI Work? Generative AI can be developed using several deep learning approaches, including: Other methods include Variational Autoencoders (VAEs) and Neural Radiance Fields (NeRFs), which generate new data or create 2D and 3D images based on sample data. Generative AI and Business Generative AI has captured the attention of global business leaders. A recent Salesforce survey found that 67% of IT leaders are focusing on generative AI in the next 18 months, with 33% considering it a top priority. Salesforce has long been exploring generative AI applications. For instance, CodeGen helps transform simple English prompts into executable code, and LAVIS makes language-vision AI accessible to researchers. More recently, Salesforce’s ProGen project demonstrated the creation of novel proteins using AI, potentially advancing medicine and treatment development. Ketan Karkhanis, Salesforce’s Executive VP and GM of Sales Cloud, highlights that generative AI benefits not just large enterprises but also small and medium-sized businesses (SMBs) by automating proposals, customer communications, and predictive sales modeling. Challenges and Ethical Considerations Despite its potential, generative AI poses risks, as noted by Paula Goldman and Kathy Baxter of Salesforce’s Ethical AI practice. They stress the importance of responsible innovation to ensure that generative AI is used safely and ethically. Accuracy in AI recommendations is crucial, and the authoritative tone of models like ChatGPT can sometimes lead to misleading results. Salesforce is committed to building trusted AI with embedded guardrails to prevent misuse. As generative AI evolves, it’s vital to balance its capabilities with ethical considerations, including its environmental impact. Generative AI can increase IT energy use, which 71% of IT leaders acknowledge. Generative AI at Salesforce Salesforce has integrated AI into its platform for years, with Einstein AI providing billions of daily predictions to enhance sales, service, and customer understanding. The recent launch of Einstein GPT, the world’s first generative AI for CRM, aims to transform how businesses interact with customers by automating content creation across various functions. Salesforce Ventures is also expanding its Generative AI Fund to $500 million, supporting AI startups and fostering responsible AI development. This expansion includes investments in companies like Anthropic and Cohere. As Salesforce continues to lead in AI innovation, the focus remains on creating technology that is inclusive, responsible, and sustainable, paving the way for the future of CRM and business. The Future of Business: AI-Powered Leadership and Decision-Making Tomorrow’s business landscape will be transformed by specialized, autonomous AI agents that will significantly change how companies are run. Future leaders will depend on these AI agents to support and enhance their teams, with AI chiefs of staff overseeing these agents and harnessing their capabilities. New AI-powered tools will bring businesses closer to their customers and enable faster, more informed decision-making. This shift is not just a trend—it’s backed by significant evidence. The Slack Workforce Index reveals a sevenfold increase in leaders seeking to integrate AI tools since September 2023. Additionally, Salesforce research shows that nearly 80% of global workers are open to an AI-driven future. While the pace of these changes may vary, it is clear that the future of work will look vastly different from today. According to the Slack Workforce Index, the number of leaders looking to integrate AI tools into their business has skyrocketed 7x since September 2023. Mick Costigan, VP, Salesforce Futures In the [still] early phases of a major technology shift, we tend to over-focus on the application of technology innovations to existing workflows. Such advances are important, but closing the imagination gap about the possible new shapes of work requires us to consider more than just technology. It requires us to think about people, both as the customers who react to new offerings and as the employees who are responsible for delivering them. Some will eagerly adopt new technology. Others will resist and drag their feet. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Unified Omnichannel Retail Platform

Unified Omnichannel Retail Platform

Salesforce has signed a definitive agreement to acquire PredictSpring, a leading unified omnichannel retail platform in the retail POS market. This acquisition aims to enhance Salesforce’s Customer 360 capabilities by integrating PredictSpring’s technology into physical retail environments. Jeff Amann, EVP of Salesforce Industries, emphasized the potential synergies: “Consumers demand a retail experience that seamlessly blends physical and digital shopping. The combined talent, resources, and innovation of Salesforce and PredictSpring will empower brands and retailers to drive frictionless and personalized engagement across all touchpoints.” PredictSpring’s modern POS software offers a fast checkout service centered around customer experience. It advocates for intelligent and user-friendly technology to revolutionize in-store operational efficiency. On its website, PredictSpring details how its unified retail platform enables consistent shopping experiences by incorporating features such as diverse payment options, inventory access, customer data management, and personalized recommendations. This alignment supports Salesforce’s 360-degree customer view, multi-tender payment management, and streamlined customer experiences. PredictSpring also provides Cloud POS solutions, enabling mobile transactions within stores, and includes features like Store Operations, Clienteling, Endless Aisle, and Store Fulfilment to enhance worker efficiency and shopper experience. Its Content Management System (CMS) allows retailers to create customizable experiences matching company branding, promotions, and loyalty programs. Already a Salesforce partner, PredictSpring has integrated Commerce Cloud and Service Cloud. Its customers include Movado, LoveSac, Steve Madden, Suitsupply, Bouclair, and Deceim. Nitin Mangtani, Founder & CEO of PredictSpring, expressed enthusiasm for the partnership: “We are excited about the future of PredictSpring and what this means for the retail industry at large. We’re energized by the opportunity to make an even greater impact on the future of shopping as part of Salesforce.” Why PredictSpring mPOS? Retailers have become acutely aware of the detrimental impact that outdated legacy point of sale systems are having on their brand’s reputation and overall customer satisfaction. The consequence is evident in prolonged queues and an unsatisfactory shopping experience. However, the remedy to this challenge presents itself in the form of a modern solution: the mobile point of sale (mPOS). Forward-looking brands are embracing the concept of prioritizing mobile-first POS systems as the natural progression, and the integration process is surprisingly straightforward – a seamless extension to existing point of sale infrastructure. Facilitate cash payments with a mobile point of sale, streamlining the payment experience. With the Modern POS, store devices are wirelessly connected to a cash drawer so payment can be taken from anywhere in-store, leading to a higher engagement and conversion rate with customers. According to research released by Capterra, “48% of retail workers prefer using mPOS”. PredictSpring True Omnichannel Replace the need for separate technology stacks with a completely unified retail platform. PredictSpring ensures in-store experiences benefit from the same functionality as online ones. This includes the same payment options, company-wide inventory access, customer data management and personalized product recommendations. With these capabilities, stores are empowered by a truly Modern POS that provides seamless cross-channel personalization, inventory management, order management and order fulfilment. Encompassing the power of a full Modern POS, the system offers brands 50+ 00TB modules of integrated technology, including mPOS, clienteling, order fulfilment, order management and inventory management features. The Modern POS platform provides store associates with a 360 view of customers and access to a global inventory, resulting in a fully integrated brand experience at every touchpoint. This way, when a customer visits in-store they can interact with the physical products and receive a high-touch service while also still benefiting from the same access to inventory, reviews and recommendations as an online customer. APIs and Integrations PredictSpring is built for integrations. With the REST API, developers can access and seamlessly integrate PredictSpring functionalities into existing operations as well as other third-party applications. The platform’s API layer allows data to be shared securely across channels while minimizing risk. With this added flexibility comes the ability to create individually personalized and completely seamless experiences both online and in-store. Leverage easy integrations to offer more payment options for global customer bases. PredictSpring supports integrations with third-party payment providers such as Adyen, Elavon and Stripe to simplify the collection of global payments. PredictSpring fully supports omni channel order management. Ensure orders arrive on time while incurring the lowest costs with item-level smart order routing and rules-based configurations. Leverage inventory, location and fulfilment data to ensure order routing is optimized for orders on all channels – whether in-store or eCommerce. Leverage enterprise-wide inventory data and integrate with third-party logistics platforms to maintain a full, real-time picture of inventory. As well as cycle counts and easy inventory adjustments, the platform supports integration with RFID to ensure accurate inventory data. As well as offering BOPIS and curbside pickup solutions, the PredictSpring platform natively supports find in store and ship to store capabilities to maximize fulfilment options. Pick and pack allows fulfilment from any location with orders also able to be routed from store to store. PredictSpring allows the device’s own camera to be used as a barcode scanner, with no additional hardware required, to ensure easy order tracking functions for associates. Salesforce Commerce Cloud With a secure integration with Salesforce Commerce Cloud, PredictSpring offers even more flexibility. Users can choose to utilize features as a combined offering or independently to suit requirements. With this partnership, PredictSpring customers can benefit from the deployment of key Salesforce features including, customer data insights, order management, cart synchronization, product information management and more. AI-Based Voice Assistant Natural Language Based Voice Assistant for Modern POS Retail in the digital era is a story of constantly rising customer expectations. These days, customers demand seamless omnichannel experiences, so they can shop whenever and wherever they want. They expect personalized in-person shopping experiences, instant gratification, and fast, reliable delivery options. The only way to continue to meet these expectations at scale without breaking the bank is to harness the capabilities of AI—which is where the PredictSpring Modern POS comes in. As Modern POS systems have evolved into a complete operating system for stores with functionality ranging from checkout, returns, store fulfillment, clienteling,

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State of AI

State of AI

With the Dreamforce conference just a few weeks away, AI is set to be a central theme once again. This week, Salesforce offered a preview of what to expect in September with the release of its “Trends in AI for CRM” report. This report consolidates findings from several Salesforce research studies conducted from February last year to April this year. The report’s executive summary highlights four key insights: The Fear of Missing Out (FOMO) An intriguing statistic from Salesforce’s “State of Data and Analytics” report reveals that 77% of business leaders feel a fear of missing out on generative AI. This concern is particularly pronounced among marketers (88%), followed by sales executives (78%) and customer service professionals (73%). Given the continued hype around generative AI, these numbers are likely still relevant or even higher as of July 2024. As Salesforce AI CEO Clara Shih puts it: “The majority of business executives fear they’re missing out on AI’s benefits, and it’s a well-founded concern. Today’s technology world is reminiscent of 1998 for the Internet—full of opportunities but also hype.” Shih adds: “How do we separate the signal from the noise and identify high-impact enterprise use cases?” The Quest for ROI and Value The surge of hype around generative AI over the past 18 months has led to high expectations. While Salesforce has been more responsible in managing user expectations, many executives view generative AI as a cure-all. However, this perspective can be problematic, as “silver bullets” often miss their mark. Recent tech sector developments reflect a shift toward a longer-term view of AI’s impact. Meta’s share price fell when Mark Zuckerberg emphasized AI as a multi-year project, and Alphabet’s Sundar Pichai faced tough questions from Wall Street about the need for continued investment. State of AI Shih notes a growing impatience with the time required to realize AI’s value: “It’s been over 18 months since ChatGPT sparked excitement about AI in business. Many companies are still grappling with building or buying solutions that are not overly siloed and can be customized. The challenge is finding a balance between quick implementation and configurability.” She adds: “The initial belief was that companies could just integrate ChatGPT and see instant transformation. However, there are security risks and practical challenges. For LLMs to be effective, they need contextual data about users and customers.” Conclusion: A Return to the Future Shih likens the current AI landscape to the late 90s Internet boom, noting: “It’s similar to the late 90s when people questioned if the Internet was overhyped. While some investments will not pan out, the transformative potential of successful use cases is enormous. Just as with the Internet, discovering the truly valuable applications of AI may require experimentation and time. We are very much in the 1998 moment for AI now.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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AI for Consumers and Retailers

AI for Consumers and Retailers

Before generative AI became mainstream, tech-savvy retailers had long been leveraging transformative technologies to automate tasks and understand consumer behavior. Insights from consumer and future trends, along with predictive analytics, have long guided retailers in improving customer experiences and enhancing operational efficiency. AI for Consumers and Retailers improved customer experiences. While AI is currently used for personalized recommendations and online customer support, many consumers still harbor distrust towards AI. Salesforce is addressing this concern by promoting trustworthy AI with human oversight and implementing powerful controls that focus on mitigating high-risk AI outcomes. This approach is crucial as many knowledge workers fear losing control over AI. Although people trust AI to handle significant portions of their work, they believe that increased human oversight would bolster their confidence in AI. Building this trust is a challenge retailers must overcome to fully harness AI’s potential as a reliable assistant. So, where does the retail industry stand with AI, and how can retailers build consumer trust while developing AI responsibly? AI for Consumers and Retailers Recent research from Salesforce and the Retail AI Council highlights how AI is reshaping consumer behavior and retailer interactions. AI is now integral to providing personalized deals, suggesting tailored products, and enhancing customer service through chatbots. Retailers are increasingly embedding generative AI into their business operations. A significant majority (93%) of retailers report using generative AI for personalization, enabling customers to find products and make purchases faster through natural language interactions on digital storefronts and messaging apps. For instance, a customer might tell a retailer’s AI assistant about their camping needs, and based on location, preferences, and past purchases, the AI can recommend a suitable tent and provide a direct link for checkout and store collection. As of early 2024, 92% of retailers’ investments were directed towards AI technology. While AI is not new to retail, with 59% of merchants already using it for product recommendations and 55% utilizing digital assistants for online purchases, its applications continue to expand. From demand forecasting to customer sentiment analysis, AI enhances consumer experiences by predicting preferences and optimizing inventory levels, thereby reducing markdowns and improving efficiency. Barriers and Ethical Considerations Despite its promise, integrating generative AI in retail faces significant challenges, particularly regarding bias in AI outputs. The need for clear ethical guidelines in AI use within retail is pressing, underscoring the gap between adoption rates and ethical stewardship. Strategies that emphasize transparency and accountability are vital for fostering responsible AI innovation. Half of the surveyed retailers indicated they could fully comply with stringent data security standards and privacy regulations, demonstrating the industry’s commitment to protecting consumer data amidst evolving regulatory landscapes. Retailers are increasingly aware of the risks associated with AI integration. Concerns about bias top the list, with half of the respondents worried about prejudiced AI outcomes. Additionally, issues like hallucinations (38%) and toxicity (35%) linked to generative AI implementation highlight the need for robust mitigation strategies. A majority (62%) of retailers have established guidelines to address transparency, data security, and privacy concerns related to the ethical deployment of generative AI. These guidelines ensure responsible AI use, emphasizing trustworthy and unbiased outputs that adhere to ethical standards in the retail sector. These insights reveal a dual imperative for retailers: leveraging AI technologies to enhance operational efficiency and customer experiences while maintaining stringent ethical standards and mitigating risks. Consumer Perceptions and the Future of AI in Retail As AI continues to redefine retail, balancing ethical considerations with technological advancements is essential. To combat consumer skepticism, companies should focus on transparent communication about AI usage and emphasize that humans, not technology, are ultimately in control. Whether aiming for top-line growth or bottom-line efficiency, AI is a crucial addition to a retailer’s technology stack. However, to fully embrace AI, retailers must take consumers on the journey and earn their trust. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Alphabet Abandons Acquisition for HubSpot

Alphabet Abandons Acquisition for HubSpot

Alphabet Abandons Acquisition Plans for HubSpot The integration between Salesforce and Hubspot could have changed drastically. The HubSpot-Salesforce integration allows you to pass data between HubSpot and Salesforce seamlessly, and maintain consistency between your marketing and sales teams. Current HubSpot Google integration includes: ability to log emails sent from Gmail into HubSpot CRM with one click, so your team spends less time on busy work and more time doing what they do best. HubSpot integrates with your Google Calendar to help you book more meetings in less time. Google parent Alphabet has abandoned its plans to acquire HubSpot, according to sources familiar with the matter. This decision puts to rest what would have been one of the year’s largest takeovers. HubSpot, Inc. is an American developer and marketer of software products for inbound marketing, sales, and customer service. HubSpot was founded by Brian Halligan and Dharmesh Shah in 2006. The talks between Alphabet and HubSpot never progressed to due diligence and fell apart shortly after the companies held initial discussions on a potential deal, the source said, on condition of anonymity to discuss confidential matters. HubSpot’s shares, a customer relationship management company, plummeted by as much as 19 percent on Wednesday (Jul 10) in New York trading, marking the most significant drop since 2020. The shares closed down 12 percent at $492.31, giving the company a market value of approximately $25 billion. Earlier this year, Alphabet had expressed interest in a potential deal with HubSpot. However, the two sides never progressed to detailed discussions or due diligence, said the sources, who requested anonymity due to the confidentiality of the matter. Representatives for Alphabet did not immediately comment. A HubSpot spokesperson also declined to comment. Any acquisition of HubSpot would have been among the largest tech deals of the year, comparable to Synopsys’s pending $34 billion acquisition of Ansys, according to data compiled by Bloomberg. HubSpot recently suffered a hack attack. HubSpot, which builds marketing software for small and medium-sized businesses, has specialized in so-called inbound marketing, where consumers start engagement with a brand. HubSpot customers apply its software to make advertising content that consumers can click on. CEO Yamini Rangan said in May on HubSpot’s financial results call that customer demand had weakened, as small businesses worried about the economic impact of high interest rates. Acquiring Cambridge, Massachusetts-based HubSpot, which caters to small and midsize enterprises, would have bolstered Alphabet’s competitiveness against rivals like Microsoft, Oracle, and Salesforce. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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