AI agents for omnichannel retail — inventory optimization, markdown management, demand forecasting, and customer experience across physical and digital. Designed to be configured against your own data model, inside your own perimeter.
19 retail agents defined across merchandising, supply chain, marketing, and customer experience. Built on 700+ AI agents across 26 industry modules (2 runtime-wired today).
Overstock ties up capital and leads to markdowns. Stockouts lose sales and customers. Getting the balance right across thousands of SKUs and locations is nearly impossible manually.
BOPIS, ship-from-store, endless aisle, marketplace fulfillment. Each channel adds complexity. Inventory visibility across channels is fragmented.
Rising COGS, logistics costs, and competition from e-commerce squeeze margins. Markdown optimization is manual and reactive. Promotions cannibalize full-price sales.
In-store, online, and mobile experiences feel disconnected. Personalization is basic. Customer lifetime value remains untapped.
Scoped deliverable
We map one high-value retail workflow together — typically demand forecasting, inventory optimization, or markdown management — and walk through how an agent would be configured against your own data model, written up as a decision brief.
Scoped per deliverable
Widen from one workflow to a working set. Bring in the Customer Experience Agent for personalization, or the Demand Planner across more of the estate.
Scoped engagement
The retail module in full, designed for deployment inside your own perimeter.
Two of the 19 agents defined in the retail module
The Inventory Oracle
I help you... forecast demand, optimize replenishment, and surface stockout risk early across all channels.
Who stays accountable
A demand planner approves every forecast before it releases stock. The agent shows the drivers behind each number, so the person signing off can see what moved it.
The Engagement Architect
I help you... personalize customer journeys, model promotion trade-offs, and keep lifetime value in view.
Who stays accountable
A marketer approves every audience and offer before it sends. The agent proposes the segment and the timing; consent and suppression decisions stay with your team.
More agents available: Merchandise Planner, Pricing Analyst, Store Operations Manager, Supply Chain Coordinator, Marketing Campaign Manager, Loss Prevention Analyst, and more.
FAOSX prices a deliverable, never consumed time.
| Area | What the agents do |
|---|---|
| Demand Forecasting | Models SKU-location demand from your own sales history, calendar, and promotion plan; a planner approves every forecast that moves stock |
| Inventory Optimization | Proposes replenishment and cross-channel allocation against your safety-stock policy, with the buyer keeping the final call |
| Markdown Optimization | Encodes your markdown ladders and promotion rules, and ranks candidate price moves with the margin maths shown |
| Omnichannel Fulfillment | Models BOPIS, ship-from-store, and DC routing as one order graph so a single inventory position serves every channel |
| Customer LTV | Resolves customer identity across POS, e-commerce, and loyalty so segmentation and lifetime-value analysis run on one profile |
| Shrinkage | Flags exceptions across POS voids, returns, and cycle counts for loss-prevention review, with the evidence trail attached |
The module is modelled against Shopify, Magento, SAP Retail, and common POS/OMS schemas.
Book a Discovery Workshop. We map one retail workflow, walk through how an agent would be configured against your own data model, and hand you a decision brief.