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Frontline AI for retail by Capgemini

Empowering in‑store employees with real‑time intelligence

Imagine if every frontline employee could perform at the level of your top 10%. With Frontline AI for retail, store teams gain real-time, voice-first access to critical insights – helping them work faster, stay consistent, and deliver better customer experiences every day.

Frontline AI is a voice-first AI assistant for retail that brings together real-time store data, AI agents, and an intuitive interface to activate store intelligence. Built specifically for in-store teams, it unifies disconnected systems – enabling employees to find information faster, work more efficiently, and continuously build knowledge to better serve customers.

“When you level the playing field across the workforce with AI, you uplevel performance and productivity for the entire organization. With Frontline AI, every employee has access to the insights, guidance, and support they need to perform not just at their best, but the best.”

Mark Ruston | VP, Global Retail Lead, Capgemini
Mark Ruston

Frontline AI in retail

Transforming stores without losing the human touch

How Frontline AI works: Three core capabilities powering retail excellence

Real-time conversational interface

Enables voice-first, hands-free seamless support for daily tasks, like service requests, inventory checks, and equipment maintenance.

Common intelligence layer

Unites fragmented and disconnected systems through a common intelligence layer, enabling enterprise-wide information-sharing.

Agentic orchestration

Pre-built AI Agents quickly mine and retrieve information across systems to deliver accurate and contextualized answers.

Proven impact on in‑store operations, achieving OPEX reduction

Achieve 5-10% reduction in store OPEX with 60% reduction in search time 10% reduction in incidents 25% reduction in training time 30% free-up for store managers 33% reduction in staff churn

Talk to our retail expert: Explore how Frontline AI can be tailored to your store operations and frontline workforce.

Research and insights

Point of view

The AI-powered store associate

Expert perspectives

Data and AI

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Meet our experts

Mark Ruston

Mark Ruston

VP, Global Retail Lead, Capgemini
Mark Ruston is Capgemini’s Global Retail Lead with 22+ years in consulting and transformation. He helps Tier 1 retailers and CPGs bridge strategy and execution, driving growth and measurable outcomes. With global experience and deep supply chain expertise, Mark champions AI to boost productivity and reduce waste — positioning operations as a key driver of consumer experience.
Steve Hewett

Steve Hewett

Global Leader for Technology & Data, frog
Steve specializes in the digital transformation of ‘retailing’ – he is leading our offer development for how generative AI will impact the e2e CX of our clients and their customers – from how it will help to set new customer experience strategies & develop new propositions to how it will transform digital marketing, omni- commerce, store experience & operations, customer service, and CRM & Loyalty.
Yogesh Pitkar

Yogesh Pitkar

Sr. Director, Retail Industry Practice
Yogesh is a retail transformation leader with 25+ years of experience helping global retailers translate strategy into operational execution, with deep expertise in digital commerce, merchandising, supply chain and store operations. His work centres on simplifying retail execution and aligning business and technology. He brings a practitioner’s perspective to AI at frontline – advocating use of AI to improve decisions and execution where it matters most.

    FAQ’s

    Frontline AI provides instant, voice-based access to real-time store data, reducing search time and enabling employees to focus on serving customers instead of navigating systems.

    Yes. Frontline AI is purpose-built for physical retail, supporting daily store operations such as inventory checks, service requests, and equipment maintenance.

    Absolutely. By embedding knowledge directly into daily workflows, Frontline AI reduces formal training requirements while continuously building employee capability on the job.