Agentic AI on the Store Floor: Empowering the Retail Frontline

Retail’s AI story is often told through digital chat, online service and virtual shopping assistants. But the next frontier is just as important: the store itself. For brands that want to deliver truly connected experiences, the question is no longer how to bring in-store magic online alone. It is also how to bring digital intelligence back into the store—equipping associates with the data, tools and AI support they need to serve customers with greater confidence, speed and personalization.

This shift matters because the store remains the center of retail. Even as ecommerce grows, most retail sales still happen in brick-and-mortar environments. At the same time, the role of the associate has expanded dramatically. Today’s frontline teams are expected to answer product questions, locate inventory, support omnichannel fulfillment, manage post-purchase issues, and deliver memorable service—all while navigating fragmented systems and increasing operational pressure. The opportunity for agentic AI is not to replace these employees. It is to augment them.

Many store associates still lack mobile tools that give them access to real-time customer, product and inventory information. That gap creates friction for both employees and shoppers. When an associate cannot quickly answer a question, check stock across locations or support an online pickup order without switching between multiple systems, the in-store experience suffers.

Agentic AI changes that equation by connecting data and workflows in ways that are practical on the shop floor. Instead of forcing associates to hunt through a dozen separate technologies, intelligent assistants can help surface the right answer in the moment, guide next-best actions and automate routine steps behind the scenes. The result is a more capable frontline—one that can spend less time wrestling with systems and more time helping customers.

For retailers, this means thinking beyond AI as a customer-facing chatbot. It means designing AI for the employee experience as well: a mobile companion that can answer product and policy questions, retrieve order and fulfillment details, flag inventory issues, recommend complementary items and support service recovery in real time.

When store associates have connected mobile tools and AI assistants, the benefits extend across the entire in-store journey.

Better product guidance. Associates can become more effective personal shoppers when AI helps them access product knowledge instantly and tailor recommendations based on customer needs, budget, occasion or preference. Rather than relying only on memory or static training materials, they can draw on current product, commerce and customer data to make each interaction more relevant.

Real-time inventory visibility. One of the most common causes of customer frustration is uncertainty around stock. AI-enabled access to live inventory data allows associates to confirm availability, locate items across channels and stores, and suggest alternatives with greater confidence. This supports smoother service and more seamless transitions between online and physical shopping.

Stronger omnichannel fulfillment. Stores are now fulfillment hubs as much as selling spaces. A significant share of ecommerce orders involves stores, placing new demands on frontline teams. AI-enhanced tools can help associates prioritize tasks, optimize pick paths, reduce fulfillment errors and respond faster to click-and-collect, ship-from-store and post-purchase service needs.

More efficient operations. AI can help simplify inventory management and loss prevention by improving visibility, automating alerts and reducing the time associates spend on repetitive tasks. Technologies such as RFID, digital shelf labels and theft analytics become more valuable when they are connected through intelligent workflows that are easy for associates to act on.

More personalized service. With unified data and AI-driven insights, store teams can engage customers with more context and continuity. A shopper’s digital browsing behavior, service history or channel preferences can inform a better in-store conversation—making the physical experience feel less isolated from the rest of the brand relationship.

None of this works well if the underlying retail ecosystem is fragmented. An AI assistant is only as useful as the data and workflows behind it. That is why unified commerce matters so much. Retailers need connected platforms that bring together commerce, service, order management and customer data so associates can operate from a single, reliable foundation.

Pandora’s broader transformation demonstrates the value of this approach. By modernizing commerce operations, increasing release velocity and building a more scalable digital foundation, the brand created the conditions for faster innovation. By evolving order management and enabling real-time inventory visibility, returns optimization, click-and-collect and store fulfillment, it strengthened the link between digital and physical channels. And by using AI agents to reflect the warmth and expertise of in-store interactions online, it showed how human-centered AI can scale service without losing empathy.

The next logical step for retailers is to apply the same thinking to the frontline itself. If AI can help recreate the expertise of the store online, it can also help amplify the expertise of store associates in person.

Publicis Sapient approaches AI with a clear principle: technology should enhance—not replace—the human element. In retail, that matters enormously. Customers still value empathy, judgment and emotional intelligence, especially in moments that require reassurance, problem-solving or personal guidance. Associates remain the face of the brand. AI should make them more effective, not less essential.

That requires designing for the realities of frontline work. Tools must be intuitive, mobile and fast. Experiences must reduce complexity instead of adding another layer to it. And AI must be grounded in trustworthy data, integrated workflows and clear governance so that recommendations are useful, accurate and actionable.

It also means focusing on use cases that deliver measurable value early: helping associates answer customer questions faster, simplifying order and inventory lookups, improving fulfillment execution, and enabling more relevant recommendations in the moment. These are practical applications of agentic AI that can improve employee experience and customer experience at the same time.

Salesforce provides an important foundation for this future. With capabilities across Commerce Cloud, Service Cloud, Data Cloud and Agentforce, retailers can connect customer, service and transaction data into a more complete operational picture. Publicis Sapient helps clients turn those capabilities into real-world outcomes by combining strategy, experience design, engineering and data and AI expertise.

That combination is critical. Retailers do not just need a new tool; they need an operating model for connected service. Intelligent agents should be embedded into the workflows associates already use, informed by unified data and aligned to the brand experience customers expect. When implemented well, AI can guide service interactions, streamline store operations and help create continuity across channels—from browsing online to buying in store to managing fulfillment or returns later.

The most valuable asset on the store floor is not a robot. It is a human associate with access to the right intelligence at the right moment. As retail continues to blend digital and physical experiences, brands that empower their frontline will be better positioned to differentiate on service, agility and trust.

Agentic AI makes that possible. It can connect the store to the broader enterprise, turn fragmented information into actionable guidance and help associates deliver the kind of personalized, seamless service customers remember. For retailers, the goal is not automation for its own sake. It is a smarter, more human frontline—one where digital intelligence helps every associate create better outcomes on the shop floor.

That is how in-store service evolves from reactive and disconnected to proactive, informed and deeply connected. And that is where the next era of retail transformation begins.

Relevant Links

• Reimagining In-Store Magic: Pandora’s Agentforce Journey with Publicis Sapient
• Reimagining In-Store Magic: Pandora’s Agentforce Journey with Publicis Sapient
• From Traditional Service to AI-Led Retail Operations
• AI-Powered Retail Transformation in APAC: Building Scalable Foundations for Local Growth
• Omnichannel Fulfillment: The Operational Backbone of Trusted AI in Jewelry Retail
• Retail européen : transformer l’engagement client grâce à l’IA, à l’omnicanalité et à une exécution agile (Europe)
• Retail en América Latina: cómo convertir la atención y la omnicanalidad en motores de crecimiento con IA (LATAM)