Physical, online, and omnichannel operators — businesses where the margin lives in 1,000 small operational calls a week, most of them made by hand.
Three places, in our experience — these are the clearest wins we see in shops like yours, not results we promise. In every one, the machine does the counting and the watching; the merchant keeps the call on what goes on the shelf.
Counts drift, channels disagree, and reorders get made on gut and memory. An automation reconciles stock across your channels and drafts the reorder before the gap becomes a stockout. You still decide what to buy.
Most of the queue is where-is-my-order, returns, and sizing. An agent drafts those replies from your real order data and escalates the angry, the odd, and the high-value to a human who can actually fix it.
An agent assembles what is moving, what is stuck, and what last season says about next month, so the buying decision starts with the evidence on the table. The merchant still makes the call. We wrote about how the pattern-finding works, and where it stops, in The Prediction Engine.
For most retail operators the right first move is the AI Readiness Audit: two to four weeks mapping where the hours and the margin actually go before anyone builds anything. Pricing is published, in plain numbers — audits run $3,500–$8,500; sprints $12,000–$45,000, fixed quote in writing.
Of the example builds on our homepage, this is the one that maps most directly onto a retail operation running on five systems that do not talk.
Connects CRM, billing, and project software so the same job shows the same status everywhere. No more reconciling five screens by hand.
The win: one reliable picture instead of five that disagree.Illustrative builds, not client claims. What we'd actually scope is whatever your free assessment shows is worth automating first.
30 minutes with a senior advisor who walks your inventory, support, and merchandising workflows and tells you what is worth automating — and what is not.