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Salesforce Unveils Agentforce for Consumer Goods
17Apr

Salesforce Unveils Agentforce for Consumer Goods

Salesforce Unveils Agentforce for Consumer Goods: Accelerating AI Adoption in Retail San Francisco, [April 2025] – Just eight days after launching Agentforce for Field Service, Salesforce has introduced Agentforce for Consumer Goods—a tailored solution designed to help brands quickly deploy AI agents across four key sectors: customer service, key account management, retail sales, and field operations. Unlike previous editions that offered pre-built AI agents for specific roles, this release provides a library of industry-specific skills and actions, empowering consumer goods companies to rapidly customize and deploy their own AI assistants. Why Agentforce for Consumer Goods? While businesses could already build agents on the standard Agentforce platform, this industry-focused edition accelerates deployment with:✔ Pre-configured skills for customer service, sales, and field teams✔ Faster implementation with ready-made automation components✔ Lower-risk experimentation for brands new to agentic AI “Salesforce is curating a smooth onboarding experience for companies entering the agentic AI era,” says Martin Schneider, VP & Principal Analyst at Constellation Research. “This gives quick wins—building confidence before diving into advanced multi-agent workflows.” Key Use Cases for Consumer Goods Brands 🛎️ AI-Powered Customer Service Agents Example: A rep at a home appliance company can ask an AI agent to check a customer’s product health—if maintenance is due, the agent drafts a service quote in seconds. 📈 Smarter Sales Assistants Example: If an account’s order volume drops unexpectedly, an AI agent can recommend new products to pitch, helping sales teams react faster. 🚚 Optimized Field Operations Example: When a customer requests a replacement, an AI agent instantly books delivery, assigns the nearest driver, and updates schedules—no manual input needed. The Bigger Picture: Salesforce’s Agentforce Momentum This launch follows: With 5,000+ customers already on Agentforce, industry-specific editions like this lower the barrier to entry—letting more brands test AI agents in low-stakes scenarios before scaling. What’s Next? Expect more vertical-focused Agentforce releases in 2025, building on earlier launches like Agentforce for Retail. For now, consumer goods brands have a new toolkit to turn repetitive tasks into automated workflows—freeing teams to focus on growth. Ready to explore AI agents for your business? Contact Tectonic 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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April 17, 2025in Agentforce Platform, Agentic AI, Data, Generative AI, Salesforce0 Comments
Agentforce for Retail
21Jan

Agentforce for Retail

Salesforce Introduces Agentforce for Retail: A Sector-Specific Skills Library for AI Innovation Salesforce has unveiled Agentforce for Retail, an industry-specific skills library designed to empower retailers to develop AI agents tailored to their unique business needs. This release provides tools for retailers to enhance customer service, assist store associates, and engage customers in innovative ways. For example, AI agents can now automate and streamline processes like order management, guided shopping, and appointment scheduling. While Salesforce had previously launched 100 preconfigured, industry-specific AI agents for the core Agentforce platform, this new retail-focused release represents a shift toward providing specialized tools that enable retailers to build AI agents with greater precision and flexibility. Driving Seamless, Unified Retail Experiences Nitin Mangtani, SVP & GM of Retail at Salesforce, described the vision behind Agentforce for Retail: “Salesforce is helping retailers deliver seamless, unified shopping experiences across both the physical and digital realms of retail, driving productivity advancements and business growth across their entire enterprise.” This move aligns with Salesforce’s broader commitment to delivering sector-specific AI innovations, expanding the Agentforce offering into targeted solutions that meet the distinct demands of industries like retail. Agentforce for Retail: Core Capabilities Commerce Skills for Order Management These skills empower retailers to offer self-service order support, helping reduce costs while boosting customer loyalty. Customers can: Commerce Skills for Guided Shopping Using natural language, customers can receive personalized product recommendations based on behavior, inventory, and operational data. They can also: Field Service Skills for Appointment Scheduling Service representatives can use AI-powered tools to streamline the scheduling of deliveries, installations, or consultations. Real-time availability updates improve efficiency and enhance customer satisfaction. Marketing Skills for Loyalty Promotion Creation Marketers can use conversational prompts informed by shopper data, point-of-sale (POS) insights, and segmentation to design loyalty campaigns. These tools also assist in creating personalized email content and subject lines to drive higher engagement. Retail Cloud with Modern POS: A Complementary Innovation In addition to Agentforce for Retail, Salesforce announced the Retail Cloud with Modern POS, a cloud-based point-of-sale solution designed to unify online and offline shopping experiences. Key features include: The POS system also incorporates AI capabilities such as: Shoppers benefit from flexible fulfillment options, including buy-online-pickup-in-store (BOPIS) and omni-exchanges. Each cart item can have unique fulfillment methods, optimizing supply chain costs while enhancing convenience. Mangtani noted, “Together, AI-fueled digital labor and a modern POS can unlock a new scale of operational capacity for retailers.” The Evolution of Agentforce: A Platform for Digital Labor In late 2024, Salesforce launched Agentforce 2.0, branding it as “The Digital Labor Platform.” This expanded version introduced enhanced capabilities aimed at helping businesses streamline operations and adopt AI-driven automation on a larger scale. Agentforce for Retail builds on this foundation, offering retailers the tools to reimagine customer engagement, boost efficiency, and drive business 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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January 21, 2025in Agentforce Platform, Data, Enterprise, Salesforce
20Jan

Einstein Copilot No More

Salesforce Rebrands Einstein Copilot as Agentforce Salesforce has officially retired its Einstein Copilot feature, rebranding it as “Agentforce (Default).” While hints of this change surfaced earlier, with confirmation arriving in January 2025, many users were still surprised by the move. Ashish Agarwal, a Salesforce Architect, Consultant, and Trainer, highlighted the change in a LinkedIn post, noting that the conversational AI assistant had been integrated into Salesforce’s broader Agentforce platform. Salesforce’s release notes confirmed the update, stating there would be no changes to functionality but minor refinements to permissions, user interface elements, and help documentation. “In Setup, you’ll see Agentforce or Agentforce (Default) for the agent name and type. This change won’t impact your implementations,” Salesforce assured its users. The company reiterated that the tool remains a vital resource for assisting Salesforce users with daily business interactions. The Journey of Einstein Copilot Einstein Copilot, introduced in April 2024, was Salesforce’s flagship generative AI (GenAI) solution. Integrated into Salesforce applications, it allowed users to perform workflows and ask questions using natural language. Built on the Einstein 1 Platform, it leveraged Salesforce’s Data Cloud and metadata to deliver personalized experiences. Despite its relatively short lifespan, the update positions Einstein Copilot as a component of Agentforce, aligning it with Salesforce’s focus on AI agents. Moving Beyond the “Copilot” Label Salesforce CEO Marc Benioff’s critical remarks about Microsoft’s Copilot may offer clues to the rebranding decision. Over recent months, Benioff has labeled Microsoft’s Copilot as “repackaged ChatGPT” and “Clippy 2.0,” aiming to distinguish Salesforce’s offerings from its competitor. This shift also reflects Salesforce’s evolving AI strategy. The company’s “Four Waves of AI” framework identifies copilots as part of the second wave, now replaced by the third wave: autonomous AI agents. Agarwal encapsulated this shift in his LinkedIn post, stating: “In today’s Agentic world, you don’t need a Copilot to assist you. Agents are taking the controls themselves. They can pilot the plane, handle turbulence, and even serve the in-flight snacks—all while you sit back, relax, and enjoy the ride.” Reactions and Reservations Despite Salesforce’s enthusiasm, the rebranding has drawn some skepticism. Richard Clark, Vice President of EMEA Alliances and Success at Elements.cloud, expressed surprise at the decision, citing Einstein Copilot’s unique role as an internal user agent. Agarwal also questioned the naming convention, arguing that “Agentforce” represents Salesforce’s entire AI platform, which includes components like the Prompt Builder, agents, and the Einstein Trust Layer. Assigning the name to a single agent, he suggested, could create unnecessary confusion. The Future of Agentforce Since its debut in October 2024, Agentforce has quickly evolved. The introduction of Agentforce 2.0, dubbed “The Digital Labor Platform,” has expanded its capabilities, allowing users to create and deploy autonomous AI agents. Salesforce has also tailored its offerings for specific industries. For example, Agentforce for Retail provides AI-driven solutions for customer service, guided shopping, order management, and appointment scheduling. Conclusion Salesforce Agentforce Details The transition from Einstein Copilot to Agentforce signifies Salesforce’s commitment to advancing its AI strategy. While some users may need time to adjust, the move aligns with the company’s vision of autonomous AI agents driving productivity and innovation. Whether viewed as a strategic pivot or a deliberate effort to distance itself from competitors, the rebranding underscores Salesforce’s ongoing evolution in the AI space. 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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January 20, 2025in Agentforce Platform, Data, Einstein 1 Platform, Generative AI, Salesforce
Agentforce for Retail
17Jan

Agentforce for Retail

Salesforce Introduces Agentforce for Retail and Retail Cloud with Modern POS Just ahead of the National Retail Federation (NRF) conference in New York, Salesforce has announced Agentforce for Retail and Retail Cloud with Modern POS, further expanding its AI-driven capabilities into the retail sector. This launch underscores Salesforce’s commitment to leveraging agentic AI to enhance productivity and streamline retail operations. Saks Fifth Avenue and SharkNinja: Early Adopters Retail giants like Saks Fifth Avenue and SharkNinja are among the first to test Agentforce for Retail, showcasing its potential to redefine customer engagement and operational efficiency in the industry. Agentforce for Retail Agentforce for Retail equips businesses with a library of pre-built AI agent skills tailored specifically for retail use cases, delivering what Salesforce calls “digital labor.” These skills are designed to simplify routine tasks, freeing up human employees to focus on higher-value activities. New Pre-Built Skills These tools aim to help retailers deploy AI agents efficiently, improving customer satisfaction and operational scalability. Retail Cloud with Modern POS Retail Cloud with Modern POS consolidates online and offline inventory data into a single, unified platform, empowering retailers with modern tools for seamless customer experiences. Key Features Retail Cloud integrates seamlessly with Commerce Cloud, Service Cloud, and Order Management, ensuring a cohesive ecosystem for retailers. Why This Matters This dual announcement highlights Salesforce’s strategy to embed Agentforce as a foundational capability across its multi-cloud architecture, while also tailoring solutions for specific industries like retail. “Together, AI-fueled digital labor and a modern POS can unlock a new scale of operational capacity for retailers,” said Nitin Mangtani, Salesforce SVP and GM of Retail, in a press release. With Agentforce for Retail, Salesforce empowers brands to embrace AI-driven automation while modernizing their point-of-sale systems, enabling a seamless blend of personalized customer engagement and operational excellence. 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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January 17, 2025in Agentforce Platform, Agentic AI, Data, Salesforce

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