AI Agents for Retail Teams: Inventory, Customer Service, and Order Management

AI Agents for Retail Teams: How Inventory, Customer Service, and Order Management Are Getting Automated

Retail's AI story has quietly flipped from "should we try this" to "how much of our tech budget goes here." The National Retail Federation's Center for Digital Risk & Innovation surveyed 56 AI leaders at U.S.-based retailers in summer 2025, and the findings show an industry moving fast on adoption while staying deliberately cautious about where the money and the risk sit.

At the same time, the shopping journey itself is changing on the consumer side. A January 2026 study from IBM's Institute for Business Value, released in partnership with NRF and drawing on a global survey of 18,000 consumers, found that AI-assisted shopping is now mainstream behavior, not a novelty. Here's what both primary reports say is actually happening inside retail operations right now.

Where Retailers Are Already Spending on AI

Governance came first: 86 percent of retailers surveyed by NRF already have AI governance policies in place, and 93 percent plan to keep building them out over the next year — with 68 percent of CEOs and 55 percent of boards directly involved in oversight. But actual budget commitment is still modest: more than three-quarters of retailers (77 percent) allocate 5 percent or less of their tech budget to AI today. That's expected to shift fast — 39 percent of retailers anticipate AI will account for more than 10 percent of their tech spend within three years.

Where AI Agents Are Actually Deployed Today

Inventory and Supply Chain: The Next Wave, Not the Current One

Right now, the leading areas of AI implementation in retail are IT coding and app development (75 percent), office productivity tools (73 percent), and cybersecurity/fraud prevention (66 percent), per NRF's survey — largely internal, lower-risk applications. Supply chain operations sit at 59 percent as an emerging priority rather than a current one, meaning most of the inventory-and-logistics automation retailers are planning is still ahead of them, not already live.

Customer Service and the AI-Assisted Shopping Journey

This is where the consumer-facing shift is furthest along. IBM and NRF's global consumer research found that while 72 percent of shoppers still shop in physical stores, AI-assisted shopping has become a real behavior: 41 percent of consumers now use AI assistants to research products, 33 percent to interpret reviews, and 31 percent to hunt for deals. Retailers are having to build customer service and product-discovery flows for an "AI co-shopper," not just a human one — which changes what a customer service agent needs to be able to answer and act on.

Order Management and Personalization: Where ROI Is Already Showing Up

Retailers report their strongest AI returns so far in IT application development (50 percent) and customer personalization (48 percent), according to NRF's survey — meaningfully ahead of newer areas like supply chain automation. That gap matters for anyone weighing where to deploy an agent first: personalization and order-adjacent workflows already have a measurable track record, while inventory automation is still in the "emerging priority" bucket most retailers haven't fully staffed yet.

The Trust Problem Nobody's Solved Yet

IBM and NRF's research flags something retailers can't automate their way past: trust has to be earned by both people and algorithms now. 52 percent of consumers say they're comfortable sharing their data, but 83 percent collectively hold overlapping concerns about privacy, misuse, or unwanted marketing. On the retailer side, cost (57 percent) and model accuracy (57 percent) are the top internal worries, and 71 percent of retailers are specifically concerned about potential consumer class-action exposure from AI use. An AI agent that gets a product recommendation or a data-handling decision wrong doesn't just cost a sale — it's a governance and legal exposure question, which is exactly why 86 percent of retailers built AI governance policies before scaling deployment further.

What This Means for Retail Teams Going Forward

The retailers ahead of the curve aren't the ones automating everything at once — they're the ones with governance in place first, concentrating early AI spend on the areas already showing measurable ROI (personalization, application development), and treating inventory/supply-chain automation as the next wave to build toward rather than something to bolt on overnight. Meanwhile, customer-facing teams need to start planning for an AI co-shopper doing real research and price comparison before a human ever reaches checkout — because per IBM and NRF's own consumer data, that's already happening today.

Frequently Asked Questions

Are retailers actually using AI agents for inventory management yet? Mostly not yet at scale. NRF's 2025 survey shows supply chain operations at 59 percent as an emerging priority, well behind current leaders like IT development (75 percent) and productivity tools (73 percent) — inventory automation is coming, but it's largely still ahead of most retailers rather than already deployed.

How are AI agents already changing retail customer service? Consumers are bringing their own AI assistants into the shopping journey — 41 percent use one to research products and 31 percent to hunt for deals, according to IBM and NRF's global consumer study — which means retail customer service now has to work for an AI intermediary, not just a human shopper.

What's holding retailers back from moving faster on AI? Cost and accuracy concerns (57 percent each) and legal exposure — 71 percent worry about consumer class-action risk from AI use, per NRF's survey — which is why most retailers are building governance policies before scaling deployment further.