Reimagining retail processes with AI

A leadership playbook for modernizing core retail operations through AI

Retail depends on processes that must run with speed, accuracy, and adaptability every day. Yet many retail operations still rely on manual steps, disconnected systems, and static planning that slow decisions and increase operational costs. In 2025, human-handled interactions cost $6 to $14 each, while saturated ad channels return just $1.40 per dollar spent. As customer expectations rise and margins tighten, retailers need AI-powered systems that can coordinate work across fragmented processes and act autonomously.

Purpose-built AI for retail makes this possible. Unlike traditional retail automation that simply speeds up manual tasks, agentic AI applications understand customer context, coordinate across merchandising and supply chain systems, and make decisions autonomously. This guide shows where retail-specific AI applications, with embedded intelligence for inventory, pricing, and delivery optimization, can be deployed rapidly, delivering measurable impact in weeks, not months, while the underlying agent platform ensures scalability, security, and operational excellence.

What's inside

• Why retail operations need intelligent systems that coordinate across merchandising, supply chain, and customer engagement workflows
• Nine use cases where agentic applications reduce costs, improve efficiency, and enhance customer experiences
• How multi-agent orchestration manages complex retail processes autonomously
• Why AI for Retail on the Kore.ai Agent Platform delivers faster deployment with purpose-built workflows, embedded operational intelligence, and retail system integrations