AI agents for
inventory management.
Running out of a bestseller costs sales. Sitting on dead stock ties up cash. The line between them is demand — and demand shifts faster than a spreadsheet can keep up. DeployCo deploys a custom AI agent that tracks sell-through, predicts what will run out, and proposes what to reorder, before the gap shows up.
Demand moves faster than your reorder points.
Static rules can't keep up with how products actually sell.
Most inventory still runs on fixed reorder points set months ago and rarely revisited. But a product that sold three a day last quarter might sell eight now, or one. Static thresholds can't see that shift, so you find out you're short when the order is already lost — or you discover the cash you've parked in stock that isn't moving.
The information to prevent both is already in your sales data. What's missing is something that watches it continuously, does the demand math per SKU, and acts on it before the stockout or the pile-up happens.
- Reorder points set once and left to go stale
- Stockouts on fast movers discovered too late
- Cash tied up in slow and dead stock
- Seasonal and trend shifts invisible to fixed rules
An agent that watches demand per SKU.
It forecasts, flags, and proposes. You approve the reorder.
DeployCo builds an inventory agent around how your products actually sell. It tracks sell-through per SKU, factors in supplier lead times, and projects when each item will run out — then proposes what to reorder and how much, before the shelf goes empty.
It works the other end too: it flags slow movers and dead stock that are tying up cash, so you can act on them. The reorder points stop being a static guess and become a live reflection of demand.
- Tracks sell-through and projects stockouts per SKU
- Proposes reorder quantities accounting for lead times
- Flags slow movers and dead stock tying up cash
- Keeps reorder points adjusting to real demand
It works with your store and stock systems.
Connected to where sales and inventory data already live.
Your sales and stock data already lives somewhere — an ecommerce platform, a POS, an ERP, spreadsheets. The agent connects to those, reads sell-through and stock levels, does the demand math, and proposes reorders. It writes back only what you approve.
These workflows commonly connect with systems such as Shopify, WooCommerce, a POS, Odoo, NetSuite, Google Sheets, or an internal database. If your stack exposes sales and stock data, the agent can work with it.
- Connects to your ecommerce platform, POS, or ERP
- Reads sell-through, stock levels, and lead times
- Proposes reorders; writes back only approved actions
- Syncs across channels so stock views agree
No reorder placed without your approval.
The agent forecasts and proposes. A human commits.
Reordering commits money, so the agent never orders on its own. Each proposed reorder lands in an approval queue with the reasoning — current stock, sell-through, projected stockout date, supplier, quantity, and cost. You approve, adjust, or reject.
You set the limits it works inside: maximum spend per reorder, approved suppliers, minimum and maximum order quantities, thresholds that require a second look. Every proposal and decision is logged per SKU.
- Every reorder approved by a human before it is placed
- Spend caps and min/max order quantities enforced
- Approved-supplier and value-threshold rules
- Forecast and decision history retained per SKU
Start with one product category.
Prove the forecasting on a slice before your full catalog.
There is no catalog-wide rollout to begin. A pilot takes one product category or your top-moving SKUs, connects to your sales data, and stands up a working agent that forecasts and proposes reorders for just that slice, inside a short fixed scope.
You see how accurate the forecasts are and how good the reorder proposals look, with you approving each one, before widening it to the full catalog. Most pilots run in a few weeks from kickoff.
- One category or your top SKUs, clearly scoped
- Connected to your real sales and stock data
- You approve every reorder throughout
- A clear decision point before expanding
Stop running out. Stop overstocking.
Tell DeployCo what you sell, and we will scope a pilot agent for the category where stockouts or dead stock cost you the most.