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AI for Retail to Automate Service, Operations, and Omnichannel Experiences
Retail teams today work across a mix of ecommerce platforms, POS systems, order management tools, and service applications. Support teams handle a constant stream of customer questions around orders, returns, product availability, and delivery status, often repeating the same steps across disconnected systems. As volumes grow across channels, this everyday coordination creates friction for both customers and frontline teams.
AI for Retail changes how this work gets done. With a retail AI assistant in place, teams can handle common customer and employee requests through a single conversational experience. Core retail workflows such as order tracking, returns, product discovery, and store support can be automated, helping teams respond faster and operate more consistently across digital and in-store channels.
Behind the scenes, AI agents coordinate workflows across retail systems and data sources. Routine actions are handled automatically, while exceptions are escalated only when human judgment is needed. This keeps operations moving smoothly without adding complexity or increasing service overhead.
The impact goes beyond efficiency. McKinsey research estimates that by 2030, agentic commerce could generate up to 1 trillion dollars in orchestrated revenue in the US B2C retail market alone, with global projections reaching several trillion dollars. By reducing friction today, retailers are better positioned to scale service, improve experiences, and capture future growth with confidence.