Reorder rules that fit your category
For each variant at each location you can configure a reorder rule with the fields that matter:
- Reorder point. The on-hand quantity at which the SKU should be reordered.
- Reorder quantity. The quantity to reorder when the point is hit.
- Max stock level. Upper bound the system respects so reorders don’t overshoot.
- Bin location. Free-text bin identifier on the inventory row.
Rules can be edited one at a time or in bulk: select a group of rows, pick the fields to apply, submit. The reorder dashboard surfaces SKUs falling under their reorder point so you can turn them into draft POs in a few clicks.
Forecasts using the right algorithm for the data
Demand forecasting in Vendee Pro is not a one-size-fits-all formula. For each SKU, the system runs a set of algorithms in parallel and picks the one with the lowest error against recent actual sales:
- Moving average. Simple, robust, fits steady-state categories.
- Weighted moving average. Recent periods count more, fits gently trending categories.
- Linear trend. Fits SKUs with clear directional movement.
- Seasonal. Fits categories with periodic peaks and troughs (requires at least a year of sales history).
The chosen method, confidence score, and projected days-of-stock-remaining are all stored on the forecast record. When confidence is low, the assistant and the UI surface the caveat so you know to apply judgment before acting on it.
Auto-generate draft POs
From the low-stock dashboard, select the SKUs you want to reorder and click generate. Vendee Pro groups them by vendor, applies the reorder quantities, and creates draft POs you can review. Edit quantities, add notes, change the destination location, and submit. What used to be a half-day of consolidating a low-stock spreadsheet into vendor POs takes a few minutes.
Every product’s buy history is one click away
When you’re about to reorder a SKU, you want to know what you bought last time and what it cost. Vendee Pro shows every PO that touched a product on the product page, chronologically, with landed cost. Six months later the chain is still there, so "when did we last buy this and how did it sell" is a single click.
AI-proposed POs
The AI assistant can read low-stock items, OTB status, vendor stats, and inventory on hand, and propose a purchase order you review. Ask it to draft a reorder for a vendor or a category, and it returns a proposal with lines, quantities, and expected total. The proposal lands in ai_pending_actions and waits for your explicit confirmation before anything is written. Confirm or reject; nothing happens in between.
Frequently asked questions
Do reorder rules consider in-transit stock?
Yes. The reorder logic accounts for on-hand and on-order, so a SKU under its reorder point but with stock already on the way doesn’t double-trigger.
Can I bulk-update reorder rules?
Yes. Select a group of inventory rows, pick which fields to apply (reorder point, reorder quantity, max stock, bin), and submit. The bulk edit only touches the fields you opted into.
What if forecast confidence is low?
Low-confidence forecasts are flagged. The system suggests reorders but recommends human review before submitting, and the AI assistant will note low confidence in its proposal.
How is the forecast back-tested?
Each candidate algorithm is validated against recent actual sales using mean absolute percentage error (MAPE). The algorithm with the lowest MAPE is chosen for that SKU, and the resulting confidence score is stored on the forecast.
Stop reordering off a hunch.
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