Inventory reorder recommendations a buyer can approve in minutes

Buyers spend mornings in spreadsheets working out what to order. A purpose-built tool can do that arithmetic daily, add context a spreadsheet cannot see, and present suggested purchase orders with reasoning attached, ready to approve, edit, or reject.

01the problem and who owns it

Most reorder decisions still come from a min and max set years ago, a spreadsheet export from the ERP, and one buyer's memory of which supplier runs late in the fourth quarter. When that buyer is out, the business either overorders out of caution or runs out of the items customers notice.

The purchasing manager owns stock levels, but the inputs are scattered: sales in the commerce platform or POS, receipts in the ERP, lead times in email threads with suppliers, and promotions in the marketing calendar. Nobody sees all of it at once.

02what the AI does, step by step

1. Pull the daily factsThe tool syncs on-hand quantities, open purchase orders, recent sales by SKU and location, and supplier lead times from the ERP and sales channels. Each run is stored, so you can see what the numbers were when a suggestion was made.
2. Compute the baseline forecastA statistical forecast handles the bulk of SKUs: recent velocity, seasonality from prior years where history exists, and safety stock sized to lead time variability. This part is plain math and is deliberately not delegated to a language model.
3. Layer in known eventsA model reads context the math misses: a promotion on the marketing calendar, a supplier email announcing a price increase or shutdown, a large quote sales expects to close. Each adjustment is shown separately so a buyer sees what moved the number.
4. Apply supplier constraintsSuggestions are rounded to case packs and minimum order quantities, grouped by supplier to hit freight or discount thresholds, and checked against any budget cap finance has set for the period.
5. Present a ranked approval listBuyers see suggested orders sorted by urgency, with days of cover remaining, the forecast, the adjustments, and a one-line explanation. They approve, edit quantities, or dismiss with a reason in a few clicks.
6. Write approved POs backApproved lines become draft purchase orders in the ERP under the buyer's name, for the normal approval and sending process. Dismissals and edits are logged so the next run learns which adjustments buyers overrule.

03systems it connects to

• ERP or inventory system. NetSuite, Microsoft Dynamics, Acumatica, Cin7, or similar, for on-hand, receipts, and purchase orders.
• Sales channels. Shopify, a POS, a B2B order portal, or the ERP's own sales orders.
• Supplier communication. The purchasing mailbox, where lead time changes and shutdown notices usually arrive first.
• Planning calendar. The marketing or promotions calendar, often a shared spreadsheet or project tool.

04human checkpoints

• Every PO is approved by a buyer. The tool drafts; it never sends a purchase order to a supplier on its own.
• Event adjustments above a threshold. If context from an email or calendar moves a suggestion by more than an amount you set, the buyer sees the source text before approving.
• Monthly parameter review. The inventory manager reviews safety stock settings and service level targets per category with finance.

05what to measure

• Stockouts on priority SKUs. Count and duration, compared to the baseline period before launch.
• Inventory value and days on hand. Watch both; cutting stockouts by overstocking is not a win.
• Suggestion acceptance rate. Share of suggestions approved unchanged, edited, or dismissed, broken out by category.
• Forecast error. Forecast versus actual demand per SKU family over rolling periods.

06risks and guardrails

• Garbage history. Stockout periods look like low demand in sales data. Flag or exclude them, or the forecast will learn that you never sell what you never had.
• Overconfident context. A model can misread a supplier email. Keep event adjustments visible, sourced, and capped, so a misread cannot triple an order quietly.
• Supplier data exposure. Supplier pricing and terms are commercially sensitive. Keep them inside your environment and out of any model provider that retains or trains on inputs.

07build vs buy

Inventory planning products such as Inventory Planner, Netstock, or the planning modules in larger ERPs handle forecasting and reorder points well for straightforward catalogs. If your problem is mainly arithmetic, buy one.

A custom internal tool earns its place when decisions depend on context those products cannot read, such as supplier emails, project quotes, or multi-location transfers, or when buyers need one screen combining ERP, channels, and calendar.

08related playbooks

Browse every operations playbook or the full library.