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Salesforce Field Service Lightning
02Jun

Salesforce Field Service Lightning

Many companies worldwide seek quality services associated with Salesforce Field Service Lightning (FSL) to differentiate between lacking customer experiences and excellent ones. Satisfied customers associate such services with high-quality ratings, gradually building trust with the company and recommending it to others. The ability of any business to generate successful recognition and experience with clients helps establish an invaluable competitive advantage. Salesforce Field Service Lightning We are here to assist you in mapping and quoting various FSL Salesforce services such as equipment installation, repair, general customer service management, and maintenance. Field Service technicians, also known as mobile technicians, play a crucial role in delivering these tasks. They receive notifications on mobile devices and quickly find users in need of speedy solutions to their problems. What is Salesforce Field Service? Salesforce Field Service (formerly known as Field Service Lightning) is designed for the automation and optimization of work offered by dispatchers and field service agents. It ensures that no employee sacrifices any functionality of the related services when working outside the company. This system is part of the FSL Salesforce Service Cloud and aims to create a seamless workflow and avoid mistakes with the help of service technicians. Integral Parts of Salesforce Field Service After implementing Salesforce Field Service Lightning, clients can immediately see the benefits reflected in the increased efficiency of developed services. Advantages of Salesforce Field Service Lightning Bottom Line We hope this comprehensive guide on Salesforce Field Service Lightning has provided valuable insights into its aspects and benefits. Our experienced executives offer valuable advice and risk-free solutions for managing projects involving field service. You can contact Tectonic 24/7 for error removal and maintaining Salesforce FSL service deployments. Tasks such as project management and exception diagnosis are easily handled with the Service Cloud platform. We offer a strong framework for different service models and prepare reports for various service territory designs, ensuring a seamless and efficient operation. 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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June 2, 2024in Salesforce Service Cloud
Salesforce Solutions for Defense
01Jun

Salesforce Solutions for Defense

Defence Technology Solutions from Salesforce: Enabling Secure, Mission-Critical Operations Salesforce provides defense organizations with powerful technology solutions to deliver on their missions quickly and securely. By increasing IT flexibility, enhancing productivity, and safeguarding sensitive data in a secure, compliant cloud environment, Salesforce empowers defence organizations to achieve mission success with confidence. Salesforce Solutions for Defense. Modernizing Personnel Operations Salesforce streamlines workforce management and accelerates employee operations, providing a unified view of personnel and fast, digital workflows. Public sector organizations can transform hiring, recruiting, HR actions, IT requests, and employee services within a trusted operational hub. How It Works: Salesforce enhances productivity and digitizes government employee tasks throughout their lifecycle, from hire to retirement. Maximizing IT Agility Salesforce enables defence organizations to unlock data from legacy systems, cloud applications, and third-party platforms with an API-led approach, securely bridging on-premises and cloud environments. Rapid application development, consolidation, and system access become seamless with Salesforce’s low-code/no-code tools. How It Works: Salesforce compresses development cycles and increases flexibility, enabling defense organizations to deliver on mission objectives faster. Salesforce Solutions for Defense Delivering Successful Case Outcomes Salesforce supports the full case management lifecycle by integrating critical data points from multiple systems into a single, unified view. Defense organizations can empower caseworkers with purpose-built tools, ensuring successful case outcomes while reducing information silos and providing clients with the necessary support. How It Works: Salesforce creates a single source of truth for case management, enabling defense organizations to streamline workflows and improve service outcomes. By leveraging Salesforce’s defense technology solutions, organizations can modernize operations, maximize agility, and ensure successful case management outcomes, all while maintaining the highest levels of security and compliance. Salesforce Solutions for Defense from Tectonic. 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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June 1, 2024in Public Sector Solutions, Salesforce Development Services, Salesforce Government Cloud, Salesforce Implementation Services, Salesforce Managed Services, Salesforce Public Sector Solutions
Einstein Personalization and Copilots
30May

Einstein Personalization and Copilots

Salesforce launched a suite of new generative AI products at Connections in Chicago, including new Einstein Copilots for marketers and merchants, and Einstein Personalization. Einstein Personalization and Copilots To gain insights into these products and Salesforce’s evolving architecture, Bobby Jania, CMO of Marketing Cloud was interviewed. Salesforce’s Evolving Architecture Salesforce has a knack for introducing new names for its platforms and products, sometimes causing confusion about whether something is entirely new or simply rebranded. Reporters sought clarification on the Einstein 1 platform and its relationship to Salesforce Data Cloud. “Data Cloud is built on the Einstein 1 platform,” Jania explained. “Einstein 1 encompasses the entire Salesforce platform, including products like Sales Cloud and Service Cloud, continuing the original multi-tenant cloud concept.” Data Cloud, developed natively on Einstein 1, was the first product built on Hyperforce, Salesforce’s new cloud infrastructure. “From the start, Data Cloud has been able to connect to and read anything within Sales Cloud, Service Cloud, etc. Additionally, it can now handle both structured and unstructured data.” This marks significant progress from a few years ago when Salesforce’s platform comprised various acquisitions (like ExactTarget) that didn’t seamlessly integrate. Previously, data had to be moved between products, often resulting in duplicates. Now, Data Cloud serves as the central repository, with applications like Tableau, Commerce Cloud, Service Cloud, and Marketing Cloud all accessing the same operational customer profile without duplicating data. Salesforce customers can also import their own datasets into Data Cloud. “We wanted a federated data model,” Jania said. “If you’re using Snowflake, for example, we virtually sit on your data lake, providing value by forming comprehensive operational customer profiles.” Understanding Einstein Copilot “Copilot means having an assistant within the tool you’re using, contextually aware of your tasks and assisting you at every step,” Jania said. For marketers, this could start with a campaign brief created with Copilot’s help, identifying an audience, and developing content. “Einstein Studio is exciting because customers can create actions for Copilot that we hadn’t even envisioned.” Contrary to previous reports, there is only one Copilot, Einstein Copilot, with various use cases like marketing, merchants, and shoppers. “We use these names for clarity, but there’s just one Copilot. You can build your own use cases in addition to the ones we provide.” Marketers will need time to adapt to Copilot. “Adoption takes time,” Jania acknowledged. “This Connections event offers extensive hands-on training to help people use Data Cloud and these tools, beyond just demonstrations.” What’s New with Einstein Personalization Einstein Personalization is a real-time decision engine designed to choose the next best action or offer for customers. “What’s new is that it now runs natively on Data Cloud,” Jania explained. While many decision engines require a separate dataset, Einstein Personalization evaluates a customer holistically and recommends actions directly within Service Cloud, Sales Cloud, or Marketing Cloud. Ensuring Trust Connections presentations emphasized that while public LLMs like ChatGPT can be applied to customer data, none of this data is retained by the LLMs. This isn’t just a matter of agreements; it involves the Einstein Trust Layer. “All data passing through an LLM runs through our gateway. Personally identifiable information, such as credit card numbers or email addresses, is stripped out. The LLMs do not store the output; Salesforce retains it for auditing. Any output that returns through our gateway is logged, checked for toxicity, and only then is PII reinserted into the response. These measures ensure data safety beyond mere handshakes,” Jania said. 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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May 30, 2024in Einstein 1 Platform, Generative AI, Hyperforce, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Snowflake
Salesforce Unlimited+ Edition Explained
30May

Salesforce Unlimited+ Edition Explained

Salesforce Unlimited Plus (UE+) is designed as an advanced offering that incorporates several specialized features tailored for different industries, making it particularly suitable for larger organizations and enterprises that require robust, integrated solutions for complex business processes and customer relationship management. Salesforce Unlimited+ Edition Explained. Target Audience UE+ is targeted toward large enterprises that need extensive CRM functionalities combined with AI and data analytics capabilities. This solution is ideal for organizations that: • Manage complex customer relationships across multiple channels. • Require deep integration of data and processes across departments. • Are looking to leverage advanced AI capabilities for predictive insights and automation. • Need industry-specific solutions that can be customized for unique business requirements. The integration of various Salesforce clouds (e.g., Sales Cloud, Service Cloud, Data Cloud) with enhanced features like AI and specific industry capabilities makes UE+ a comprehensive solution for organizations aiming to streamline their operations and gain a competitive edge through advanced technology adoption. Here are the five Salesforce editions for every purpose: ·Starter/Essentials: Ideal for small businesses, offering basic contact, lead, and opportunity management. ·Professional: Tailored for mid-sized companies with enhanced sales forecasting and automation capabilities. ·Enterprise: Geared towards larger organizations, providing advanced customization, reporting, and integration options. ·Unlimited: Offers comprehensive functionality, customizability, 24/7 support, and access to premium features like generative AI. ·Unlimited Plus: Most robust solution for businesses of all sizes, featuring additional functionalities and enhanced capabilities. Key Considerations: ·Business Size: Consider the number of users and overall business scale when choosing an edition. ·Features Needed: Identify the specific features crucial for your sales, service, or marketing processes. ·Scalability: Choose an edition that accommodates your projected growth and future needs. ·Budget: Evaluate the cost of each edition against its offered features and value proposition. Sales Cloud Unlimited Edition+ Features: Account and Contact Management: Complete visibility of customer profiles including activity history and communications. Opportunity Management: Tracking and details of every sales deal at each stage. Pipeline Inspection: A comprehensive tool that allows sales managers to monitor pipeline changes, offering AI-driven insights and recommendations to optimize sales strategies. Einstein AI Capabilities: Includes tools like Einstein Conversation Insights which transcribe and analyze sales calls, highlighting key parts for review and deeper analysis. Customizable Reports and Dashboards: Enhanced capabilities for building real-time reports and visualizations to track sales metrics and forecasts. Advanced Integration Features: Integration with external data and systems through various APIs including REST and SOAP. Automation and Customization: Extensive options for workflow automation and personalization of user interfaces and customer interactions using the Flow Builder and Lightning App Builder. Developer Tools: Access to tools like Developer Sandbox for safe testing and app development environments. Service Cloud Unlimited+ Features: Einstein Bots: AI-powered chatbots to handle customer inquiries automatically, available 24/7 across various communication channels. Enhanced Messaging: Integration with popular messaging platforms like WhatsApp, SMS, and Apple Messages to facilitate seamless customer interactions. Feedback Management: Tools to gather and analyze customer feedback directly within the CRM. Self-Service Capabilities: Including customizable help centers and service catalogs that allow customers to find information and resolve issues independently. Field Service Tools: Comprehensive management of field operations including work order and asset management. Real-Time Analytics: Advanced reporting features for creating in-depth analytics to monitor and improve customer service processes. Additional features include Data Cloud, Generative AI, Service Cloud Voice, Digital Engagement, Feedback Management, Self-Service, and Slack. Salesforce Unlimited+ for Industries UE+ for Industries: UE+ for Industries includes Unlimited+ for Sales and Service together with industry-specific data models and capabilities to help customers drive faster time to value within their sectors: •Financial Services Cloud UE+ for Sales and Financial Services Cloud UE+ for Service helps banks, asset management, and insurance agencies connect all of their customer data on one platform and embed AI to deliver personalized financial engagement, at scale. •An insurance carrier can use Financial Services Cloud UE+ to connect engagement data like emails, webinars, and educational content with third-party conference attendance, social media follows, and business performance data to understand what is motivating agents, helping drive more personalized relationships and grow revenue with Data Cloud and Einstein AI. •Health Cloud UE+ for Service helps healthcare, pharmaceutical, and other medical organizations improve response times at their contact centers and offer digital healthcare services with built-in intelligence, real-time collaboration, and a 360-degree view of every patient, provider, and partner. •A hospital can use the bundle to quickly create a personalized, AI-powered support center to triage and speed up time to care with self-service tools like scheduling and connecting patients and members with care teams on their preferred channels. •Manufacturing Cloud UE+ for Sales brings together tools for manufacturing organizations to build their data foundation, embed AI capabilities across the sales cycle, and maximize productivity, empowering them to scale their commercial operations and grow revenues. •A manufacturer can now look across the entire book of business to see how companies are performing against negotiated sales agreements and then use AI-generated summaries to determine where to prioritize their time and resources. By Tectonic’s AArchitecture Team 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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May 30, 2024in Generative AI, Salesforce
Engagement Frequency Dashboard
29May

Engagement Frequency Dashboard

The Einstein Engagement Frequency Dashboard The Einstein Engagement Frequency Dashboard provides a comprehensive overview of your contacts’ email saturation levels. By analyzing this data, you can understand how your email sending frequency influences engagement metrics like opens, clicks, and unsubscribes over time. The What-If analyzer is a handy tool within the dashboard, allowing you to experiment with different sending frequencies to maximize your On Target saturation levels. Accessing the Dashboard To access the Einstein Engagement Frequency Dashboard: Once on the dashboard, you can click “View Details” at the top to check your data quality scores and get tips on how to improve them. This will give you an idea of how reliable your email or mobile engagement data is. Note on Data Quality If Einstein lacks sufficient data for certain contacts, it will assign frequency scores based on global model data. This can sometimes cause discrepancies between the Einstein Engagement Frequency dashboard and activity-level analytics in specific journeys. What-If Analyzer The What-If Analyzer is a feature on the dashboard that allows you to test different future saturation levels based on varying message frequencies. The goal is to increase the number of contacts in the “On Target” range for engagement. The analyzer provides a bar chart that predicts how adjusting your email frequency can shift contacts from being “Saturated” or “Undersaturated” to “On Target.” This tool helps you fine-tune your communication strategy to optimize engagement across your contact base. 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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May 29, 2024in Salesforce
Integrate Copilot for Service in Salesforce
26May

Integrate Copilot for Service in Salesforce

Embedding Copilot for Service in Salesforce Desktop You can embed Copilot for Service directly into the Salesforce desktop with contextual awareness of the underlying platform. This integration helps Copilot for Service provide better responses and streamlines the workflow for your agents. Integrate Copilot for Service in Salesforce. Prerequisites Before you begin, ensure you have the following: Step 1: Copy the Copilot for Service Widget URL Step 2: Configure the Copilot for Service Widget in Salesforce xmlCopy code<section sortOrder=”0″ name=”reqGeneralInfo” label=”General Information”> <item sortOrder=”0″ name=”reqInternalName” label=”Internal Name”>CopilotForService</item> <item sortOrder=”1″ name=”reqDisplayName” label=”Display Name”>Copilot For Service</item> <item sortOrder=”2″ name=”reqAdapterUrl” label=”CTI Adapter URL”>https://TobeUpdated.ms</item> <item sortOrder=”3″ name=”reqUseApi” label=”Use CTI API”>true</item> <item sortOrder=”4″ name=”reqSoftphoneHeight” label=”Softphone Height”>600</item> <item sortOrder=”5″ name=”reqSoftphoneWidth” label=”Softphone Width”>450</item> <item sortOrder=”6″ name=”reqSalesforceCompatibilityMode” label=”Salesforce Compatibility Mode”>Classic_and_Lightning</item> </section> Step 3: Add Salesforce Users Step 4: Add the Softphone Utility Step 5: Enable Popups 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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May 26, 2024in Salesforce
Salesforce for Manufacturing Operational Efficiency
24May

Salesforce for Manufacturing Operational Efficiency

Shopping with distributors offers a distinct advantage in the form of personalized guidance throughout the purchasing journey, nurturing enduring relationships and encouraging repeat business. While distributors excel in delivering tailored service, digital-native rivals such as Amazon leverage operational efficiency to vie in today’s marketplace. As B2B preferences veer towards remote transactions and omnichannel experiences, distributors lagging in digitalization encounter hurdles. Salesforce for Manufacturing Operational Efficiency Manufacturing operational efficiency, while vital, cannot overshadow the significance of personalized service for customers. Traditional distributors hold a formidable competitive edge in this aspect. However, their reliance on antiquated, non-digitalized processes impedes effective competition. Distributors must confront these inefficiencies and embrace innovative technology to flourish. Conventional distributors often rely on disparate systems like spreadsheets and sticky notes, resulting in disjointed customer experiences. Siloed data leads to quote disparities, communication breakdowns, and a dearth of omnichannel capabilities. To retain competitiveness, distributors must transition to digital platforms that centralize data and streamline operations. Digital transformation in manufacturing is possible with Salesforce Manufacturing Cloud. Salesforce for Manufacturing Operational Efficiency with Manufacutring Cloud Salesforce Manufacturing Cloud emerges as a solution to these challenges. By consolidating all information within a centralized system, Salesforce empowers distributors to deliver seamless customer experiences across various channels. This eradicates confusion, ensures consistent communication, and elevates service quality. With Salesforce, distributors can provide exemplary service, nurturing customer loyalty and outpacing the competition. 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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May 24, 2024in Data, Salesforce, Salesforce Manufacturing Cloud, Technology
Service Cloud Digital Engagement
23May

Service Cloud Digital Engagement

Salesforce Enhances Service Cloud Digital Engagement for Unified Customer Interactions Salesforce has unveiled new enhancements to Service Cloud Digital Engagement, aimed at unifying unstructured conversational data from various digital channels, departments, and devices within a single platform. Built on the Einstein 1 Platform, these enhancements enable service leaders to gain a more holistic view of customers, enhancing the value delivered in every interaction. Importance of Enhancements Detailed Enhancements Service Cloud Digital Engagement is designed to deliver seamless, personalized conversational experiences across channels at scale. By connecting to Salesforce Data Cloud, which unifies structured and unstructured enterprise and customer data, companies can engage in more meaningful conversations. Key enhancements include: With Service Cloud built on the Einstein 1 Platform, companies can integrate sales, service, and marketing data into one platform, facilitating more relevant customer experiences and driving business growth. Salesforce’s Perspective Kishan Chetan, EVP & GM of Service Cloud, commented, “As customers interact with companies across more touch points and channels, they are looking for more personalization and a higher-touch experience. With Service Cloud built on the Einstein 1 Platform, companies can bring in sales, service, and marketing data on one platform to deliver more relevant customer experiences and drive business growth.” Customer Reactions Olivia Boles, Director of Operations Projects at PenFed, said, “Being able to see all the communication — chat transcripts, emails, phone calls — on the member’s profile page has totally transformed the agent and member experiences.” Availability 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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May 23, 2024in Data, Einstein 1 Platform, Enterprise, Salesforce, Salesforce Data Cloud
Generative AI and Service Cloud
23May

Generative AI and Service Cloud

Salesforce Service Cloud users are set to receive more Einstein 1 generative AI tools in June and October. A key development is the expansion of automated customer conversations across more sales and marketing platforms. Generative AI and Service Cloud family of tools is growing. This insight aims to uncover the numerous use cases of generative AI in the modern contact center. We’ll help you understand how generative AI can fast track your contact center’s efficiency, improve data analysis capabilities, streamline QA and coaching processes, and make customers’ experiences better.  Today, Salesforce launched Unified Conversations for WhatsApp, which automates bot responses to customer inquiries related to targeted marketing messages on the popular messaging app. Additionally, Salesforce plans to extend support to Line, a messaging app popular in Japan, later this year. These services are built on Salesforce’s Einstein 1 generative AI platform. The platform’s bots aggregate structured and unstructured CRM, product, service, and other data through Salesforce Data Cloud to generate personalized responses. These new features enable conversations to be routed to the digital channels where a Salesforce user’s customers are the most active. And to move omnichannel as customers needs change. Salesforce is also introducing a “bring your own channel” connector to support digital channels not natively covered by the platform. Current examples might include TikTok, Discord, and South Korea’s KakaoTalk, according to Ryan Nichols, Chief Product Officer for Salesforce Service Cloud. Generative AI and Service Cloud “It’s about getting data from all your conversations with customers from Service Cloud into Data Cloud and using that to not just deliver excellent customer service, but also grow your business,” Nichols said. Salesforce Einstein Conversation Mining, a Service Cloud feature currently in beta, aggregates conversations across customer channels to surface insights on the topics customers need help with. This aims to turn inbound customer service from a cost center into a revenue center, a goal long pursued at conferences like Dreamforce and ICMI. This massive change drives more than revenue, it drives ROI. Performance metrics such as time-to-answer and hold-time reduction have traditionally pressured agents to minimize call duration to retain their jobs. Now Salesforce is going to help them. While some skeptics question if generative AI can achieve this ambitious goal, Constellation Research analyst Liz Miller suggests it might be possible. Having previously managed a contact center herself, Miller recognizes the transformative potential of generative AI. With the aid of data, bots, and copilot counterparts assisting humans, agents could save time and access the right information to upsell customers during service engagements. Here are some of the ways Generative AI will change customer service forever. 1. Monitor and Ensure Compliance Maintaining compliance is crucial for fostering customer trust, preserving a positive brand image, and avoiding hefty privacy and compliance fines. In a contact center, compliance mistakes can quickly escalate into costly lawsuits and revenue losses. Generative AI allows your compliance team to proactively manage compliance by quickly identifying trends and addressing issues in real time. Instead of waiting for a compliance issue to escalate, you can fine-tune your AI model to provide compliance insights whenever necessary. For instance, you can ask: This approach offers more comprehensive insights than scorecards, which often lack context and accuracy. Generative AI’s analytical capabilities provide actionable insights to improve compliance across your contact center. 2. Get Insights About Your Call Center Performance at a Glance Generative AI language models make it easier than ever to gain insights into your contact center’s performance. Simply ask the model for the information you need. For example, you can inquire about the real-time average handling time (AHT) by asking, “What is the average handling time today?” But that’s just the beginning. With an advanced language model, you can compare metrics across different quarters or generate ideas for coaching plans by asking for each agent‘s strengths and weaknesses and suggestions for improvement. 3. Automate Post-Call Work Generative AI assistants can act as real-time notetakers, summarizing 100% of calls and freeing agents from manual note-taking. This automation makes after-call work effortless, generating comprehensive and compliant notes with a single click. 4. Capture Coachable Moments Easily Incorporating real-world coachable moments into your sessions is essential for tangible performance improvements. Generative AI can identify areas where agents typically struggle without requiring hours of call listening and note-checking. Traditional methods mean compromising on the specificity of coaching due to time constraints, especially when managing large teams. Generative AI solutions, however, enable call center managers to obtain detailed insights about each agent’s performance quickly. This allows for personalized coaching plans that address individual shortcomings efficiently. You can ask: 5. Improve Decision Making With Efficient Root-Cause Analysis Effective decision-making can transform your contact center. However, many managers struggle to identify the root causes of performance issues. Generative AI algorithms can analyze vast amounts of data and customer interactions, uncovering patterns and trends in customer and agent behavior. These insights help pinpoint the issues most impacting performance and customer satisfaction, allowing you to make informed decisions. The process is nearly fully automated, freeing your team from time-consuming data collection tasks. 6. Reduce Manual Work and Focus on Improvement Improving contact center performance requires extensive data, which is resource-intensive to collect manually. Generative AI simplifies this by analyzing customer interactions and providing actionable insights on demand. This saves time and money, allowing you to focus on improvements that deliver a higher ROI. 7. Scale What Works Discovering and scaling best practices is essential for team-wide success. Generative AI and Natural Language Processing (NLP) models can analyze customer interactions to identify effective strategies and coaching opportunities. For example, if a representative handles challenging situations well, AI can generate tips for other team members based on these successful interactions. Generative AI can identify top-performing agents and analyze their calls to extract best practices, providing a more comprehensive approach than focusing on a single agent. Queries you might use include: 8. Generate Agent Scripts Generative AI enables you to draft and fine-tune agent scripts for various customer interactions. Instead of relying

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May 23, 2024in Generative AI, Salesforce Data Cloud, Salesforce Einstein, Salesforce Service Cloud
Salesforce Summer 24 Sales Release
22May

Salesforce Summer 24 Sales Release

Sales Salesforce Summer 24 Sales Release. Boost your sales teams’ results with new Einstein features, more actions, and improved performance and setup experiences. Sales rep’s get a boost to their productivity with standard and custom list view actions in the Account, Contact, and Lead Intelligence views. Sales teams have a bird’s-eye view of their conversations with customers with Conversation Signals. Sales managers have more flexibility in how they view forecasts. Enablement has an improved test and deploy experience for sales programs. And in Salesforce Maps, users experience better performance when plotting for high-volume data. Salesforce Summer 24 Sales Release 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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May 22, 2024in Salesforce
Education Cloud Academic Operations Explained
21May

Education Cloud Academic Operations Explained

Education Cloud Academic Operations Academic Operations serves as the central hub for creating and managing your institution’s learning-related objects and the relationships between them. With this powerful tool, staff can: The entities you set up in Academic Operations—such as learning courses, programs, and schedules—lay the groundwork for the Recruitment & Admissions and Student Success apps. For instance, curricula and program data form the basis of your course catalog, while plans created in Program Plan Builder flow into Intelligent Degree Planning, guiding the Learner Progress View. Configuring Academic Operations To configure Academic Operations for your institution: Integration Capabilities Salesforce’s education data model seamlessly integrates with various Salesforce tools, including Data Cloud, Marketing Cloud, Salesforce Scheduler, and Einstein AI, as well as custom components like a comments feature and outcome management tools. This integration ensures a comprehensive solution for managing and enhancing the entire learning 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 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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May 21, 2024in Salesforce Education Cloud, Salesforce Education Solutions
TEFCA could drive payer-provider interoperability
20May

TEFCA could drive payer-provider interoperability

Bridging the Interoperability Gap: TEFCA’s Role in Payer-Provider Data Exchange The electronic health information exchange (HIE) between healthcare providers has seen significant growth in recent years. However, interoperability between healthcare providers and payers has lagged behind. The Trusted Exchange Framework and Common Agreement (TEFCA) aims to address this gap and enhance data interoperability across the healthcare ecosystem. TEFCA could drive payer-provider interoperability with a little help from the world of technology. TEFCA’s Foundation and Evolution TEFCA was established under the 21st Century Cures Act to improve health data interoperability through a “network of networks” approach. The Office of the National Coordinator for Health Information Technology (ONC) officially launched TEFCA in December 2023, designating five initial Qualified Health Information Networks (QHINs). By February 2024, two additional QHINs had been designated. The Sequoia Project, TEFCA’s recognized coordinating entity, recently released several key documents for stakeholder feedback, including draft standard operating procedures (SOPs) for healthcare operations and payment under TEFCA. During the 2024 WEDI Spring Conference, leaders from three QHINs—eHealth Exchange, Epic Nexus, and Kno2—discussed the future of TEFCA in enhancing provider and payer interoperability. ONC released Version 2.0 of the Common Agreement on April 22, 2024. Common Agreement Version 2.0 updates Common Agreement Version 1.1, published in November 2023, and includes enhancements and updates to require support for Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) based transactions. The Common Agreement includes an exhibit, the Participant and Subparticipant Terms of Participation (ToP), that sets forth the requirements each Participant and Subparticipant must agree to and comply with to participate in TEFCA. The Common Agreement and ToPs incorporate all applicable standard operating procedures (SOPs) and the Qualified Health Information Network Technical Framework (QTF). View the release notes for Common Agreement Version 2.0 The Trusted Exchange Framework and Common AgreementTM (TEFCATM) has 3 goals: (1) to establish a universal governance, policy, and technical floor for nationwide interoperability; (2) to simplify connectivity for organizations to securely exchange information to improve patient care, enhance the welfare of populations, and generate health care value; and (3) to enable individuals to gather their health care information. Challenges in Payer Data Exchange Although the QHINs on the panel have made progress in facilitating payer HIE, they emphasized that TEFCA is not yet fully operational for large-scale payer data exchange. Ryan Bohochik, Vice President of Value-Based Care at Epic, highlighted the complexities of payer-provider data exchange. “We’ve focused on use cases that allow for real-time information sharing between care providers and insurance carriers,” Bohochik said. “However, TEFCA isn’t yet capable of supporting this at the scale required.” Bohochik also pointed out that payer data exchange is complicated by the involvement of third-party contractors. For example, health plans often partner with vendors for tasks like care management or quality measure calculation. This adds layers of complexity to the data exchange process. Catherine Bingman, Vice President of Interoperability Adoption for eHealth Exchange, echoed these concerns, noting that member attribution and patient privacy are critical issues in payer data exchange. “Payers don’t have the right to access everything a patient has paid for themselves,” Bingman said. “This makes providers cautious about sharing data, impacting patient care.” For instance, manual prior authorization processes frequently delay patient access to care. A 2023 AMA survey found that 42% of doctors reported care delays due to prior authorization, with 37% stating that these delays were common. Building Trust Through Use Cases Matt Becker, Vice President of Interoperability at Kno2, stressed the importance of developing specific use cases to establish trust in payer data exchange via TEFCA. “Payment and operations is a broad category that includes HEDIS measures, quality assurance, and provider monitoring,” Becker said. “Each of these requires a high level of trust.” Bohochik agreed, emphasizing that narrowing the scope and focusing on specific, high-value use cases will be essential for TEFCA’s adoption. “We can’t solve everything at once,” Bohochik said. “We need to focus on achieving successful outcomes in targeted areas, which will build momentum and community support.” He also noted that while technical data standards are crucial, building trust in the data exchange process is equally important. “A network is only as good as the trust it inspires,” Bohochik said. “If healthcare systems know that data requests for payment and operations are legitimate and secure, it will drive the scalability of TEFCA.” By focusing on targeted use cases, ensuring rigorous data standards, and building trust, TEFCA has the potential to significantly enhance interoperability between healthcare providers and payers, ultimately improving patient care and operational efficiency. 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