/INDUSTRIES · RETAIL

Put the right stock in every store, and waste less of it.

We design, build and deploy AI agents for retailers and food and beverage operators: agents that forecast by store and item, propose orders and markdowns, and answer customers and staff from live data. A manager approves every price change, order and refund above its limit.

POSE-CommerceERPCRMLoyaltyPricing
A store manager with a tablet in a grocery aisle.
A Typical First AgentStore Replenishment Agent
AdvisePick the categories and stores where stock and waste hurt most.
DesignAgree the approval limits for orders, markdowns and refunds.
BuildBuild on your POS and stock history, tested store by store.
DeployRelease to a pilot group of stores, measure, then widen.

TYPICAL AGENTS

Typical Agents for Retail

Illustrative designs, not delivered systems. Each one reads your systems, proposes the next step and waits for the person who owns the decision.

A Typical First Agent

Store Replenishment Agent

Forecasts by store and item and proposes tomorrow’s order. The store or category manager approves.

POSERP

Markdown Agent

Spots slow and short-dated stock and proposes a markdown before it becomes waste. Price changes go live only after approval.

POSPricingERP

Customer Service Agent

Answers order, delivery and return questions from live data. Refunds above a set limit go to a person.

E-CommerceCRMERP

Product Content Agent

Drafts product descriptions and attributes from supplier data. A merchandiser approves before anything is published.

E-CommerceProduct Data

Store Operations Copilot

Answers staff questions from procedures and policies, in the store. Read-only.

Microsoft 365Document Store

MEASURES

The Measures These Agents Target

We agree the baseline and the target with you before the first agent is built.

  • On-Shelf Availability
  • Waste and Markdown Loss
  • Time to Resolve a Customer Contact
  • Time to List a New Product
MicrosoftAnthropicOpenAIGoogle
Retail team serving customers at a connected point of sale

MICROSOFT AGENTS

Microsoft Agents Worth Starting From

Where Microsoft already ships an agent for the job, start there: configure it to your approvals and govern it with your other agents.

Store Operations and Catalogue Enrichment Templates

Copilot Studio agent templates for store teams and product data, announced in public preview in January 2026. Adapted to your stores and approvals.

Microsoft Source, 8 January 2026

WHERE TO START

AI Readiness Assessment

Weigh your replenishment, pricing and service workflows for value, data, risk and cost, and leave with a recommended first agent to act on or take elsewhere.

QUESTIONS

Questions Buyers Ask

Can it work across stores on different systems?

Yes. Each agent reads through governed connections to POS, e-commerce and ERP, so differences between systems are handled once in the integration layer, not inside every agent.

Who sees customer data?

An agent runs under the permissions of the person or process it works for, so it sees only what they may see. Identity, permissions and data protection are design requirements from the start.

NEXT STEP

Tell us what is blocked.

Start with the outcome that is blocked, not the software you think you need. A named consultant replies within one business day.

Solutions

Advice that ships as working systems.

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