New Salesforce Data and AI Innovations for Retail Help Businesses Drive Efficiency and Deliver Connected Shopping Experiences

NRF 2024, Salesforce, the #1 AI CRM, announced new data and AI-powered tools to transform every shopping experience. With generative AI built into Commerce Cloud and Marketing Cloud, retail merchandisers and marketers can tap into generative tools with a real-time understanding of customer behavior and preferences to optimize every customer interaction — increasing loyalty, driving revenue, and boosting employee productivity.

These new retail innovations are powered by the Einstein 1 Platform. The Einstein 1 Platform connects seamlessly with retail or shopper data, securely integrating with large language models (LLMs) to ensure real-time context, brand voice consistency, data governance, and security. This delivers entirely new shopper, merchandiser, and retail marketer experiences with connected data and AI powered apps.

Also Read: Zebra Technologies to Unveil New Solutions at NRF 2024 Advancing the Modern Store

Why it matters: Eighty-three percent of global retailers have seen operational efficiency improvements with AI, according to new Salesforce data. And 63% of marketers say that trusted customer data is important to implementing generative AI in their businesses. Retailers need a solution that can bring all of their customer data together into one, trusted platform and use it to power the most efficient, AI-driven retail experiences.

Salesforce perspective: “Companies that leverage their customer’s data effectively to build trusted, connected commerce experiences will see stronger customer loyalty and profitability,” said Jujhar Singh, EVP & GM, Salesforce Customer 360 Applications and Industries. “Every business must focus on driving efficiency and growth with new integrated and AI-powered innovations that enable a faster path to purchase and greater customer satisfaction.”

What’s new for shoppers:

  • Einstein Copilot for Shoppers, a new extension of Einstein Copilot, is a consumer-facing version of the generative AI assistant that powers personalized conversations with shoppers. Customers can find products and make purchases faster using natural language interactions on retailers’ channels like digital storefronts and messaging apps. For example, a shopper in the Pacific Northwest can tell Einstein Copilot for Shoppers they need supplies for a camping trip. Based on existing customer data, such as the shopper’s location, preferences, and past purchases, Einstein Copilot for Shoppers can recommend a waterproof and windproof tent in their preferred color along with a link for immediate checkout.

SOURCE: Businesswire

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