Salesforce Service Cloud Archives - gettectonic.com - Page 2
Salesforce Powering EVPassport
12Oct

Salesforce Powering EVPassport

EVPassport, a global leader in EV charging networks, announced an expanded partnership with Salesforce to enhance its customer experience through the deployment of Salesforce Service Cloud. This initiative solidifies EVPassport’s standing as a top provider in the EV charging space, recognized for customer satisfaction, loyalty, and reliability. With Salesforce Service Cloud, EVPassport can deliver more personalized, efficient service and support to its enterprise, commercial customers, and electric vehicle drivers. The platform enables deeper insights into each driver’s journey, resulting in a seamless, tailored experience. Hooman Shahidi, co-founder and CEO of EVPassport, highlighted the significance of Salesforce in driving the company’s next-generation mobility experience, stating, “As we build the mobility experience of tomorrow, having the right partners is crucial. Salesforce’s innovative solutions will help us exceed the evolving needs of our customers, sites, and communities.” By leveraging Salesforce’s AI, data, and CRM capabilities, EVPassport aims to strengthen customer connections and improve operational efficiency, ensuring a forward-thinking approach to EV charging for years to come. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 12, 2024in Data, Enterprise, Salesforce, Salesforce Service Cloud
Data Cloud Model
08Oct

Data Cloud Model

While many Salesforce products like Sales Cloud, Service Cloud, Education Cloud, Health Cloud, and various industry clouds are built on a common ‘core’ platform that shares the same datastore (an Oracle relational database), Salesforce Data Cloud operates on (Data Cloud Model) a distinct architecture and technology stack. This insight explores the data models and related concepts that underpin the platform. Data Cloud Architecture and Storage Starting with the storage layer, Salesforce Data Cloud integrates multiple services: This combination enables Data Cloud to provide a petabyte-scale data store, overcoming the scalability and performance constraints of traditional relational databases. The physical architecture of Data Cloud is represented as a set of data objects, which form the foundation for how data is ingested, harmonized, and activated within the platform. Key Data Cloud Objects Data Source A Data Source is the initial data layer in Data Cloud, representing an external platform or system from which your data originates. Data Sources can include: Data Stream A Data Stream is an entity extracted from a Data Source, such as ‘Orders’ from Commerce Cloud, ‘Contacts’ from Sales Cloud, or ‘Subscribers’ from Marketing Cloud. Once a Data Source is connected to Data Cloud, Data Streams provide access to these entities and require assignment to a category: Profile, Engagement, or Other. A single Data Source can contain multiple Data Streams. Data Source Object (DSO) Data Streams are ingested into Data Source Objects (DSOs), which serve as temporary staging stores containing data in its raw, native format (e.g., CSV files). Minor transformations can be applied to fields during data ingestion. Data Lake Object (DLO) The next step in the data flow is the Data Lake Object (DLO). DLOs are typed, schema-based, materialized views that reside in the data lake (Amazon S3) and are generally stored as Apache Parquet files. This format, along with Apache Iceberg’s abstraction layer, supports efficient data storage and retrieval. DLOs are the first objects available for inspection and preparation of data, including field mapping and additional transformations. Data Model Object (DMO) Unlike DSOs and DLOs, which use a physical data store, Data Model Objects (DMOs) provide a virtual, non-materialized view into the data lake. Queries against a DMO return results based on the current data snapshot in DLOs, without storing them. DMOs can aggregate attributes from different Data Streams, Calculated Insights, and other sources. DMOs inherit their category from the first DLO mapped to them, and only DLOs with the same category can be mapped to the DMO. Like Salesforce objects, DMOs offer a canonical data model with pre-defined attributes (standard objects), and you can also create custom DMOs (custom objects). DMOs can have one-to-one or many-to-one relationships with other DMOs. Currently, there are 89 standard DMOs in Data Cloud, and this number is growing to support more use cases. DMOs are organized into various subject areas, including: Data Spaces Data Spaces offer logical partitions, allowing data to be segregated between different brands, regions, or departments, without the need for multiple Data Cloud instances. They also align with a Software Development Lifecycle (SDLC), enabling you to stage and test Data Objects in separate environments without affecting production data. Data Sources, Data Streams, and DLOs can be shared across Data Spaces, while DMOs and other platform features are isolated based on user permissions. Final Thoughts With the drop in storage costs and advancements in technology, companies now have vast datasets at their disposal. Every customer interaction, whether it’s a purchase, an email open, or a web page view, can be captured and stored. When properly organized, this data allows businesses to understand customers better, predict their needs, personalize interactions, and much more. However, one of Salesforce’s challenges is that its original platform, built over 20 years ago, was designed for a different era and struggles with handling voluminous, “big” data. Salesforce Data Cloud addresses these limitations with a modern architecture that overcomes the constraints of relational databases. Data Cloud is poised to become the backbone of the Salesforce platform, supporting the data needs of customers and products for the next two decades. If you’re interested in learning how to implement and integrate Salesforce Data Cloud in your organization, following best practices, reach out today. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 8, 2024in Data, Google, Salesforce, Salesforce Data Cloud, Snowflake, Technology, Unified Knowledge
Salesforce Agentforce Integration
07Oct

Salesforce Agentforce Integration

The rise of AI-powered solutions is transforming customer service, support, and automation. For organizations such as nonprofits, national associations, and large enterprises, delivering seamless customer experiences has become crucial. Salesforce’s Agentforce, a next-generation conversational AI tool, plays a vital role in this transformation. Designed to elevate customer support and interaction, Agentforce provides an intelligent and scalable solution for integrating AI chatbots into content management systems (CMS) like WordPress, Drupal, and HubSpot. Salesforce Agentforce Integration. In this detailed feature review, we will dive into the extensive capabilities of Salesforce Agentforce, analyzing its role as a conversational tool, its technical requirements, and the benefits it provides for nonprofits, national associations, and businesses. We’ll also compare its applications across various CMS platforms like Drupal, WordPress, and HubSpot, exploring its potential as a powerful AI assistant for website automation and customer interaction. Salesforce Agentforce: A Technical Perspective Salesforce Agentforce is an advanced AI-driven conversational assistant that seamlessly integrates into the Salesforce environment. By tapping into Salesforce CRM’s vast data resources, Agentforce serves as an intelligent interface, automating everything from initial customer inquiries to more personalized interactions. Utilizing natural language processing (NLP) and machine learning, it continually refines responses and scales interactions, making it an indispensable tool for organizations aiming to enhance customer service workflows. Agentforce integrates smoothly with Salesforce Service Cloud, automating both live chat support and chatbot responses. Additionally, it can connect with third-party platforms, including popular CMS solutions like WordPress, Drupal, and HubSpot, allowing organizations to centralize customer service operations in one interface. Core Features and Technical Architecture of Agentforce Natural Language Understanding (NLU) and Processing (NLP) Agentforce’s NLP capabilities are its backbone, allowing it to understand complex human language and respond contextually. This empowers it to manage initial inquiries as well as more sophisticated support requests. Agentforce’s NLU also enables it to work across different languages, dialects, and industry-specific terminology, making it particularly valuable for global organizations and national associations serving diverse audiences. Machine Learning for Continuous Improvement Agentforce’s machine learning feature enhances its ability to improve accuracy and understanding over time. Each interaction helps the chatbot evolve, making it more effective at delivering relevant, real-time responses. This model integrates directly with Salesforce’s data infrastructure, giving Agentforce access to historical data and interactions to offer highly personalized, context-aware answers. Deep Integration with Salesforce CRM As a Salesforce-native tool, Agentforce can harness CRM data in ways other AI tools cannot. By accessing customer histories, purchase data, and previous interactions, it creates personalized experiences that build customer trust. Nonprofits and associations can use this data to improve donor or member interactions, offering targeted support and outreach. Agentforce can also be tailored to retrieve specific datasets, such as an individual’s support history or ongoing service case updates. Cross-Platform Flexibility and API Integration Agentforce offers flexible APIs that enable integration with third-party systems, including CMS platforms like WordPress, Drupal, and HubSpot. This flexibility ensures that AI-powered chatbots can be deployed on organizational websites, providing a seamless experience for customers, donors, and members alike. Whether it’s a nonprofit using Drupal or a business on WordPress, Agentforce acts as the central hub for support and engagement, offering fluid interactions on top of your CMS. HubSpot users can further leverage Agentforce’s marketing features to align lead generation with personalized, chat-based interactions. Use Cases for Agentforce in Nonprofits, National Associations, and Businesses Nonprofit Organizations For nonprofits managing donor, volunteer, and beneficiary relationships, Agentforce offers scalable, automated support: National Associations National associations can use Agentforce to handle high volumes of inquiries from members and professionals: Businesses For service-based enterprises, Agentforce is essential for customer service: Salesforce Agentforce and CMS Integration: WordPress, Drupal, and HubSpot WordPress and Salesforce Agentforce Integration For WordPress users, Agentforce offers customizable chatbot widgets that enhance customer engagement, handle ecommerce inquiries, and integrate with WooCommerce for product support. Drupal and Agentforce Integration Drupal’s modular architecture allows Agentforce to automate membership management, provide multilingual support, and distribute content for nonprofits and associations. HubSpot and Agentforce Integration HubSpot users benefit from Agentforce’s ability to automate lead nurturing, sales and marketing workflows, and customer support, all while keeping HubSpot and Salesforce CRM data synchronized. Tectonic and Salesforce Agentforce Integration At Tectonic, we understand that adopting AI-powered solutions like Salesforce Agentforce is only the first step toward delivering exceptional customer experiences. We specialize in crafting, training, and implementing tailored AI chatbot solutions that enhance engagement, streamline processes, and drive growth, all while seamlessly integrating with your current website or mobile app. As a full-service digital strategy firm, Tectonic excels in integrating advanced tools like Salesforce Agentforce into platforms like WordPress, Drupal, and HubSpot, ensuring your automation strategies are executed with precision. From custom chatbot implementations to comprehensive digital strategy services, our team is dedicated to optimizing your website for engagement and lead generation. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 7, 2024in Agentforce Platform, AI Tools, Data, Enterprise, Salesforce, Salesforce Service Cloud
Currys and LTIMindtree Partner on Salesforce Platform
30Sep

Currys and LTIMindtree Partner on Salesforce Platform

Currys Expands Partnership with Salesforce partner to Enhance Omnichannel Retail Experience UK-based technology retailer Currys has expanded its partnership with a Salesforce partner to transform its omnichannel customer experience. The collaboration focuses on leveraging Salesforce Service Cloud, Commerce Cloud, and MuleSoft to drive innovation and streamline operations. Key initiatives in this transformation include re-platforming Currys’ website to Salesforce Commerce Cloud, launching an in-store client app via Experience Cloud, and implementing Service Cloud for enhanced post-sales support. These upgrades aim to deliver a seamless shopping experience, improve customer service, and boost operational efficiency. Andy Gamble, CIO of Currys, emphasized the impact of the partnership: “Our collaboration with LTIMindtree has enabled our teams to deliver exceptional experiences for both colleagues and customers. With our new omnichannel platform, we are set to achieve greater operational efficiencies, faster service, and continuous innovation for future growth.” Since the partnership began in 2021, Currys and LTIMindtree have overhauled the retailer’s commerce and support systems, resulting in improved customer experiences, streamlined store operations, and increased employee satisfaction. The success of this collaboration was recently recognized with a Salesforce award, underscoring the companies’ commitment to innovation and addressing current business challenges while preparing for future advancements. Srinivas Rao, Executive Vice President and Chief Business Officer at LTIMindtree, added: “Our partnership with Currys showcases our expertise in the retail sector. Together, we have delivered a best-in-class omnichannel shopping experience that unlocks new growth opportunities by catering to each customer’s unique needs. We remain dedicated to helping our clients harness digital technologies that foster innovation and productivity.” This collaboration represents a key milestone for Currys, solidifying its commitment to providing enhanced customer experiences through advanced digital solutions. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 30, 2024in Mulesoft, Salesforce, Salesforce Commerce Cloud, Salesforce Service Cloud, Technology
Salesforce Continues to Push the Boundaries of AI Innovation
28Sep

Salesforce Continues to Push the Boundaries of AI Innovation

In a strategic move to enhance its AI capabilities, Salesforce has announced the acquisition of Zoomin, a leader in unstructured data management solutions. This acquisition, expected to finalize in the fourth quarter of Salesforce’s fiscal year 2025, aligns with the company’s mission to dominate the enterprise AI landscape through its Agentforce platform. The acquisition further highlights Salesforce’s commitment to advancing AI-driven customer experiences and operational efficiency. Financial details of the transaction were not disclosed, but Salesforce confirmed that it would not affect previous earnings guidance. Previously, in discussions around Service Cloud’s push for Unified Knowledge, there were concerns about relying on partners like Zoomin. This acquisition addresses those concerns by filling a critical gap in Salesforce’s product offerings and adding new functionalities to Data Cloud. Strengthening Data Cloud for AI Zoomin’s technology will enhance Salesforce’s Data Cloud by providing improved support for managing unstructured data—a cornerstone of modern AI systems. This is a critical step in Salesforce’s AI strategy, particularly for the Agentforce platform, as it enables more comprehensive, context-aware AI capabilities. Rahul Auradkar, Salesforce’s EVP & GM of Unified Data Services & Einstein, stressed the importance of this acquisition. “Unstructured data is the key to unlocking AI’s full potential in customer interactions,” Auradkar said. “With Zoomin’s technology, we’re not just improving data management—we’re revolutionizing how AI agents understand and use information to deliver personalized experiences.” The integration of Zoomin’s Unified Knowledge technology directly addresses a key challenge in AI: managing and understanding unstructured data to create smarter AI agents. By strengthening its data foundation, Salesforce is positioning itself to deliver more sophisticated AI applications across its platform. Agentforce: A New AI Frontier Salesforce’s recently launched Agentforce platform aims to revolutionize enterprise AI with autonomous AI agents capable of advanced decision-making and task automation. By incorporating Zoomin’s technology, Agentforce will gain the ability to process and utilize unstructured data more effectively, setting it apart from competitors like Microsoft’s Copilot, which often requires significant user input and prompt engineering. The enhanced Agentforce platform will deliver a host of benefits, from improved customer service automation to more accurate sales forecasting and personalized marketing campaigns. By tapping into unstructured data, Salesforce is paving the way for AI-driven insights and actions previously unattainable with traditional approaches. A Natural Progression from Partnership to Acquisition Zoomin’s relationship with Salesforce began in 2018 as an AppExchange partner, followed by an investment from Salesforce Ventures in 2019. This acquisition marks a natural progression in their partnership, promising a smooth integration into Salesforce’s ecosystem. Zoomin CEO Gal Oron shared his enthusiasm: “Joining forces with Salesforce is a natural next step for us. Our shared vision is to make AI truly intelligent by giving it access to the vast amount of unstructured data that exists in enterprises. Together, we’ll help businesses unlock the full potential of their data and AI investments.” Implications Across the Business Spectrum The integration of Zoomin’s technology is expected to have broad implications, especially in customer service, where AI agents can use unstructured data to deliver more personalized and efficient responses. Beyond customer service, this technology is poised to impact sales, marketing, and overall business operations, enabling deeper insights into customer behavior and more targeted campaigns. Kishan Chetan, EVP and GM of Salesforce Service Cloud, highlighted the potential: “With Unified Knowledge, we’re not just improving AI—we’re transforming how businesses understand and serve their customers. Imagine AI agents that can grasp the full context of a customer’s history, preferences, and needs in real time. That’s the power we’re unlocking.” A Strategic Response to the AI Arms Race Salesforce’s acquisition of Zoomin comes amid an increasingly competitive enterprise AI landscape. By bolstering its embedded AI capabilities through strategic acquisitions, Salesforce is solidifying its position as a leader in enterprise AI, while addressing key challenges faced by rivals like Microsoft and Google. Zoomin’s expertise in processing large volumes of technical content and generating insights based on user behavior will be instrumental in helping Salesforce deliver cutting-edge, AI-driven solutions. These advancements will improve everything from customer service to digital transformation initiatives across industries. With this acquisition, Salesforce continues to push the boundaries of AI innovation, cementing its leadership in the rapidly evolving enterprise AI market. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 28, 2024in Agentforce Platform, Data, Enterprise, Google, Salesforce, Salesforce Service Cloud, Technology, Unified Knowledge
Vonage Premier for Salesforce Service Cloud Voice
19Sep

Vonage Premier for Salesforce Service Cloud Voice

HOLMDEL, N.J., Sept. 18, 2024 /PRNewswire/ — Vonage, a global leader in cloud communications helping businesses accelerate their digital transformation and a part of Ericsson (NASDAQ: ERIC), is one of the first contact center providers to join Salesforce’s Bring Your Own Channel for Contact Center as a Service (BYOC for CCaaS) pilot program. With BYOC for CCaaS, Vonage Premier for Salesforce Service Cloud Voice customers will have the ability to integrate Vonage omnichannel and AI-powered capabilities into their existing contact center solutions, including voice, SMS, chat, social messaging apps like WhatsApp, and more – delivering faster resolution times and creating a more native, personalized and meaningful experience for customers by connecting with them on their channel of choice. “We are very excited to have Vonage, a leading Salesforce Service Cloud Voice partner, take this very important step to expand its deep Salesforce integration through BYOC for CCaaS, delivering the omnichannel capabilities – and the APIs to enable them – that create the kind of customer experiences that drive meaningful engagement,” said Tony Flores, Senior Director of Product Management for Salesforce. With BYOC for CCaaS, Vonage Premier for Service Cloud Voice customers will now be able to connect with customers across various communications channels, as well as access data insights and AI-based agent productivity tools, to create a better overall customer journey and a more productive and efficient agent experience. The solution’s single routing and agent capacity model also increases contact center capacity, leading to more customer interactions being resolved better and faster. Workforce Engagement Management (WEM) is also provided through Vonage’s seamless integrations with leading WEM solutions Verint, Calabrio Teleopti, Playvox and injixo, ensuring optimum planning, scheduling, tracking, and management of the contact center workforce. “Today’s contact center agents play a vital role in support of the businesses they represent and in meeting the increasing demands of tech-savvy customers who want to connect from anywhere, on their preferred communications channels,” said Reggie Scales, Acting Head of Applications for Vonage. “These agents are also frequently working from anywhere and need the tools to access critical information to troubleshoot common customer issues and provide real-time customer support. Having all of these capabilities in a single user interface – omnichannel modes of communication coupled with a 360 view of customer information and key knowledge bases – this is the contact center of the future.” A key differentiator for Vonage as a pilot partner in this program is its ability to source a single AI-based Virtual Agent solution for self-service automations across voice and digital channels using Vonage AI studio – while also leveraging Salesforce for all Live Agent Assist and Analytics needs. Vonage can also integrate its own Vonage Communications APIs to power pre-built programmable capabilities for voice, SMS, social and chat, directly into the contact center – all on one combined Salesforce and Vonage platform. This singular view also enhances efficiency by keeping agents and supervisors in a single Salesforce desktop to eliminate application switching and the need to toggle between screens. “Modern contact centers are experiencing increasing pressure and demand to deliver better, more personalized, omnichannel interactions, as well as quicker and more accurate responses to customer issues,” said Jim Lundy, CEO, Founder & Lead Analyst, Aragon Research. “With BYOC for CCaaS, Vonage aims to address the increasing demand for a unified and customizable customer experience across all communication channels, leveraging existing Salesforce platforms and AI-powered insights and automation.” Vonage Premier for Service Cloud Voice is currently available on the Salesforce AppExchange with Salesforce BYOC for CCaaS integrated capabilities now available for customers to pilot. To find out more about Vonage Premier for Service Cloud Voice, visit www.vonage.com. Salesforce, AppExchange, Service Cloud Voice, Einstein and others are among the trademarks of Salesforce, inc. About Vonage Vonage, a global cloud communications leader, helps businesses accelerate their digital transformation. Vonage’s Communications Platform is fully programmable and allows for the integration of Video, Voice, Chat, Messaging, AI and Verification into existing products, workflows and systems. The Vonage conversational commerce application enables businesses to create AI-powered omnichannel experiences that boost sales and increase customer satisfaction. Vonage’s fully programmable unified communications, contact center and conversational commerce applications are built from the Vonage platform and enable companies to transform how they communicate and operate from the office or remotely – providing the flexibility required to create meaningful engagements. Vonage is headquartered in New Jersey, with offices throughout the United States, Europe, Israel and Asia and is a wholly-owned subsidiary of Ericsson (NASDAQ: ERIC), and a business area within the Ericsson Group called Business Area Global Communications Platform. To follow Vonage on X (formerly known as Twitter), please visit twitter.com/vonage. To follow on LinkedIn, visit linkedin.com/company/Vonage/. To become a fan on Facebook, go to facebook.com/vonage. To subscribe on YouTube, visit youtube.com/vonage. SOURCE Vonage 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 19, 2024in Data, Salesforce Service Cloud
Enhancing Customer Experiences with Social Insights
16Sep

Enhancing Customer Experiences with Social Insights

Sprout Social Announces Integration with Salesforce Agentforce for Service Cloud Sprout Social (SPT) has unveiled a new integration with Salesforce’s (CRM) Agentforce assistant for Service Cloud. This partnership enables joint customers of Salesforce Service Cloud and Sprout Social to gather customer insights from social media and take proactive action to enhance customer experiences. These updates will be highlighted at Dreamforce 2024, where Sprout Social will showcase how AI, social data, and Salesforce can drive revenue, foster customer loyalty, and strengthen brand equity. As a leading provider of cloud-based social media management software, Sprout Social’s integration with Salesforce’s Agentforce assistant empowers businesses to capture social media insights and accelerate decision-making in customer service. These advancements will be a focal point at Dreamforce 2024, where Sprout Social will present on utilizing AI and social data to enhance customer care, build brand loyalty, and grow revenue. Enhancing Customer Experiences with Social Insights Delivering exceptional customer care requires meeting customers where they are—often on social media. This new integration equips businesses with a full view of their customers by combining social data with Agentforce’s AI-powered assistance. By leveraging this combined solution, companies can resolve cases more efficiently and anticipate customer needs, shifting from reactive to proactive customer service strategies. “This extension demonstrates our commitment to AI-driven innovation and our strong partnership with Salesforce,” said Scott Morris, Chief Marketing Officer of Sprout Social. “In today’s landscape, where customer care defines brand success, integrating social insights is crucial for supporting holistic, long-term care strategies and empowering brands to deliver personalized interactions at scale.” The integration expands Agentforce’s capabilities to include social data from major networks and review sites, alongside traditional communication channels like phone and email. This comprehensive view enables service teams to provide a seamless and personalized customer experience. A New Era of AI-Driven Customer Service “Social customer care has become integral to providing quality, end-to-end customer experiences,” said Ryan Nichols, Chief Customer Officer at Salesforce Service Cloud. “Collaborating with Sprout to integrate their platform with Agentforce assistant is a key step in enabling service teams to gain comprehensive customer insights and leverage conversational AI to elevate customer care.” At Dreamforce 2024, Sprout Social will present key sessions, including: The integration, currently in invite-only beta, enhances Agentforce with social data-driven insights, making customer service faster and more proactive. To learn more, contact your Sprout Social representative or visit Sprout Social’s Service Cloud page. Key Features of the Integration: Sprout Social will highlight these features at Dreamforce 2024, with insights on leveraging AI, social data, and Salesforce for enhanced customer care and brand growth. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 16, 2024in Salesforce Service Cloud
Salesforce and Monte Carlo
11Sep

Salesforce and Monte Carlo

Salesforce recently announced a strategic partnership with Monte Carlo, a leading fashion brand, to revolutionize the company’s consumer engagement across multiple channels. This collaboration will help Monte Carlo evolve from a winter-wear icon into a year-round favorite in India’s competitive fashion industry, appealing to customers of all ages while maintaining its legacy in winter apparel. In a statement, Monte Carlo shared, “Our decision to adopt Salesforce CRM aligns with our vision of becoming a digital-first, data-driven organization that leverages cutting-edge technology to enhance customer experiences. With Salesforce, we aim to transform the customer journey by gaining a unified, 360-degree view of customers across online and offline channels.” Monte Carlo has embraced Salesforce Data Cloud to create a holistic view of each customer, enabling streamlined communication across all channels to ensure more seamless and efficient engagements. Additionally, Monte Carlo is committed to delivering exceptional customer experiences at every stage—before, during, and after a purchase. The brand is using Salesforce Service Cloud to implement a personalized loyalty solution that goes beyond traditional point-based rewards, offering customers a unique and memorable experience. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 11, 2024in Salesforce, Salesforce Data Cloud, Salesforce Service Cloud
When The Customers Prefer Self-Service
14Aug

When The Customers Prefer Self-Service

Assistance is crucial for complex issues, but for simpler problems, customers typically prefer the convenience of self-service tools like account portals, FAQs, and chatbots. This preference is especially strong among digital natives, such as millennials and Gen Z. However, deploying self-service tools requires careful planning. For instance, over two-thirds of customers abandon a company’s chatbot after a single negative experience, underscoring the importance of a positive initial interaction. Statistics show that 72% of customers use self-service portals, and 55% engage with self-service chatbots. The willingness of nearly half of all customers, including 60% of millennials, to pay more for superior customer service highlights the importance of customer experience in an era of price sensitivity. Customers expect instant responses, creating a scalability challenge for service teams but also an opportunity to offer premium service. Instant responses can set a company apart, as even well-regarded brands often struggle to maintain quick and seamless connections between customers and agents. Self-service platforms must be easily adjustable, not only to address areas needing improvement but also to adapt to changing market demands. Customers now expect proactive service rather than the traditional reactive approach. Despite this, customer service is often perceived as reactive. The time and effort customers spend resolving service issues are significant, especially when service teams are inconsistently trained and equipped, leading to a perception that quality service is a matter of luck. Consistency across channels, devices, and departments is highly valued but often lacking. Many customers find themselves repeating information to different representatives, indicating a fragmented information environment. Poorly integrated technology and processes leave 55% of customers feeling as if they interact with separate departments rather than a unified company. Disconnected experiences are a major source of frustration. Prompt resolution of issues is a top priority for customers, and many find it quicker to search for answers themselves than to contact the company. Self-service not only facilitates quick problem-solving but also empowers customers to address issues at their own pace and learn as much or as little as they wish. In terms of preferences, over 67% of customers prefer some form of self-service over speaking with a representative. Additionally, 73% prefer using the company’s website for support rather than relying on social media, SMS, or live chat apps. Don’t always assume the “latest and greatest” solutions available are the best solutions for your customers. A self-service strategy involves providing customers with tools to resolve their needs independently, reducing the need for representative assistance. Reduce staffing needs and increase speed to answers for customers. Its a win win. However, implementing self-service can face challenges, such as confusing navigation, lack of ongoing attention, inflexibility, failure to incorporate feedback, constraints on users, extra work, lack of human interaction, difficulty in personalization, and the need for continuous analysis and monitoring. Successful self-service integration requires addressing these factors to meet customer expectations. Contact Tectonic for assistance bringing your self-service solutions to your customers. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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August 14, 2024in Salesforce Commerce Cloud, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Optimization, Salesforce Service Cloud, Technology
Demandbase One for Sales iFrame
09Aug

Demandbase One for Sales iFrame

Understanding the Demandbase One for Sales iFrame in Salesforce The Demandbase One for Sales iFrame (formerly known as Sales Intelligence) allows sales teams to access deep, actionable insights directly within Salesforce. This feature provides account-level and people-level details, including engagement data, technographics, intent signals, and even relevant news, social media posts, and email communications. By offering this level of visibility, sales professionals can make informed decisions and take the most effective next steps on accounts. Key Points: Overview of the Demandbase One for Sales iFrame The iFrame is divided into several key sections: Account, People, Engagement, and Insights tabs. Each of these provides critical information to help you better understand and engage with the companies and people you’re researching. Account Tab People Tab Engagement Tab Final Notes: The Demandbase One for Sales iFrame is a powerful tool that provides a complete view of account activity, helping sales teams make informed decisions and drive results. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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August 9, 2024in Data
New Service Cloud Tools
30Jul

New Service Cloud Tools

Salesforce has unveiled new out-of-the-box service components, an automation tool, and a new app for Service Cloud customers, designed to help agents resolve customer cases faster and enable companies to scale their support operations efficiently. New Service Cloud Tools are here. Why It Matters: With 69% of agents reporting that balancing speed and quality is a challenge, and as the volume and complexity of cases increase, there is a growing need for tools that enhance efficiency without compromising service quality. Salesforce Service Cloud: Deliver Value Across Every Customer Touchpoint with Service Cloud Built on the Einstein 1 Platform. New Tools and Features: Service Cloud customers now have access to a suite of efficiency tools aimed at automating processes and identifying the best product capabilities to enhance service delivery. These new features allow customers to maximize their Service Cloud investment and improve their return on investment. Salesforce Perspective: Kishan Chetan, EVP & GM of Service Cloud, emphasized that the new efficiency tools help companies of all sizes increase service team productivity and better serve their customers. Industry Reaction: Rebecca Wettemann, CEO & Principal Analyst at Valoir, noted that these innovations offer service teams quick wins, enhancing operational efficiency and maximizing technology investments. Fast Facts: 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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July 30, 2024in Salesforce Service Cloud
Salesforce Automated Case Routing
30Jul

Understand Salesforce Automated Case Routing

Simplified Case Management with Automation Customer service becomes easier, faster, and more effective with automation tools. A well-organized case management system ensures that customer inquiries are routed to the right person, get the correct answers, and are resolved promptly. Delays or errors in responses can lead to customer dissatisfaction, making efficient case routing critical. Salesforce Service Cloud offers robust automation tools to simplify case management and ensure the right service agents handle cases efficiently, minimizing errors and maximizing customer satisfaction. Efficient Handling of Multi-Channel Case Creation With cases being generated from multiple service channels like web, email, phone, and chat, managing them efficiently can be challenging. Service agents often spend significant time prioritizing, sorting, and assigning cases manually, which can reduce productivity. Moreover, identifying agents with specialized skills and assigning appropriate cases to them can be time-consuming. Automating this process ensures optimal resource utilization, faster resolutions, and higher customer satisfaction. Salesforce provides several tools for routing cases to the right agents: Additionally, advanced automation tools enhance case-routing efficiency: Omni-Channel Routing: Revolutionizing Case Management Omni-Channel Routing is a powerful feature that transforms inefficient systems into streamlined workflows. Without it, agents often rely on manual processes, such as selecting cases from lists, which can result in: Omni-Channel automatically assigns cases to qualified and available agents in real-time, ensuring balanced workloads and prioritizing urgent cases. It seamlessly integrates with both Salesforce Classic and Lightning Experience, saving time and enabling agents to focus on resolving cases quickly. Routing Techniques: Case Assignment Rules: Simplifying Small Business Needs Case Assignment Rules automate case ownership by assigning cases to specific users or queues based on predefined criteria. These rules apply to all cases, regardless of origin, including web-to-case, email-to-case, and more. Key Features: Escalation Rules: Prioritizing Unresolved Cases Escalation Rules help identify and resolve cases that remain unresolved within a specific timeframe. They reassign cases to specific users or teams and send notifications, ensuring: Rules are configured with business hours and time-based criteria to determine when cases should be escalated. Einstein Case Classification & Routing: AI-Powered Efficiency Salesforce Einstein uses machine learning to predict and populate case record fields automatically, reducing agent effort and improving accuracy. How It Works: Einstein Case Routing combines AI predictions with assignment or skill-based routing rules to assign cases to the most suitable agents, improving resolution speed and customer satisfaction. Conclusion Automated case routing transforms customer service by improving productivity, efficiency, and resolution speed. While Omni-Channel Routing is the most comprehensive tool for case management, Escalation and Assignment Rules also play vital roles for smaller business needs. Together, these tools enable businesses to deliver exceptional customer experiences. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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July 30, 2024in Data, Salesforce, Salesforce Einstein, Salesforce Service Cloud

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