Stock watched around the clock,
reorders drafted before you run out

Why stock problems sneak up on you

Most teams track stock the same way. A spreadsheet or dashboard gets opened on a schedule, usually once a week, sometimes once a month if things get busy. Between those checks, a fast-moving SKU can quietly run out. A slow one can keep getting reordered out of habit, because nobody noticed the shelf was already full. By the time a stockout shows up in a sales report, the order has already been missed and the lead time is already working against you. A customer has already seen “out of stock,” or a longer delivery estimate than usual.

The problem is not that anyone is careless. Watching every SKU every day against its own reorder point, lead time and sales trend is a lot to ask of one person. Past a handful of items, nobody keeps up. A buyer with two hundred SKUs and a dozen suppliers makes the same judgment call over and over, often from memory about which items “usually” need attention. That means the SKUs that do not usually need attention are exactly the ones missed when they suddenly do.

Overstock is the quieter cost of the same gap. A slow mover keeps getting reordered because last quarter’s numbers looked fine, tying up cash and warehouse space a faster-moving item could use instead. Nobody decided to overstock it. Nobody had the time to notice the trend had changed before the next purchase order went out.

How the agent watches your SKUs

The agent checks stock levels against the reorder point you set for each SKU, on a schedule rather than whenever someone remembers to look. It factors in the supplier’s actual lead time, so a reorder is timed to arrive before the shelf empties, not after. When a SKU crosses its threshold, the agent drafts a purchase request with a suggested quantity and sends it for approval, rather than placing the order itself.

Alongside reorder monitoring, the agent flags slow movers and overstock from the same sales data. A buyer sees both ends of the problem in one place: items about to run out, and items that have sat too long. Alerts route to the right person by category or supplier, so a buyer who only handles packaging is not pinged about electronics components. A weekly stock-health summary gives a manager the shape of the whole catalogue without reading every individual alert.

The agent typically connects to Shopify, a marketplace back office, an ERP system, or a plain spreadsheet, whichever one actually holds your stock numbers today. You do not migrate data into a new system first.

Every check, alert and draft purchase request gets written to a log. A buyer reviewing a reorder a week later can see exactly what stock level and sales trend triggered it.

What a buyer still decides

A buyer still decides the actual order quantity, and which supplier to use when more than one option exists. A buyer also decides whether a seasonal spike or a one-off promotion should change the normal reorder math. The agent works from recent sales history and does not know a marketing campaign is about to launch next week. Negotiating terms with a supplier and dropping a SKU entirely stay with a person. So does approving any purchase request before it becomes a real order against a real budget.

Guards

Every purchase request the agent drafts needs human approval before it goes to a supplier. The agent flags spending decisions. It never makes one on its own. The full history, every alert raised and every draft purchase request created, is logged, so a manager can trace back why a particular order was suggested and when. Reorder rules and lead times are set by your team and can be adjusted any time. A weekly summary gives a sanity check on the whole system, rather than relying on no individual alert ever being missed.

Price and timeline

Running cost is usually $15 to $60 a month in model usage depending on catalogue size, with a budget cap set before launch.

Related

This pairs naturally with purchase order processing, which picks up once a draft request is approved. Add shipment tracking updates to know when the reordered stock is on its way. Add vendor comparison for procurement when more than one supplier can fill the same order. For a sense of scale, the digital goods marketplace automation case study covers a catalogue of over 25,000 listings with its own pricing and delivery guards. ProBay, a marketplace we are launching, describes a margin guard verified against 864 orders in a pre-launch run. See the broader picture on the AI agents service page and the automation-everything overview.

Want to know what your reorder points and lead times would look like running on autopilot? Get in touch and we will walk through your current stock list on the first call.

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