Feature

Reorder before the shelf goes empty.

Vendee Pro combines per-SKU reorder rules with demand forecasts to surface exactly what to buy and when. Auto-generate draft POs grouped by vendor with one click. Review, edit, confirm. The math runs in the background; the decisions stay with you.

Reorder rules at the variant + location level

For each variant at each location you can configure the fields that drive the reorder trigger:

Rules can be edited inline one at a time or in bulk: select a group of inventory rows, pick which of those three fields to apply, and submit. The bulk edit only touches the fields you opted into. The reorder dashboard surfaces every SKU whose available stock has fallen at or below its reorder point so you can turn them into draft POs in a few clicks.

“Available” here is defined as on-hand minus committed (placed but unfulfilled) minus unavailable (holds, damaged, safety stock), normalized across POS providers so the trigger behaves the same whether your POS reports the bucket directly or only the raw counts.

A 30-day moving-average demand forecast

Vendee Pro computes a moving-average forecast per (location, variant) from the last 30 days of POS sales. For each linked SKU the forecast record stores:

When confidence is low, the assistant and the UI surface the caveat so you know to apply judgment before acting on it. Weighted, linear-trend, and seasonal forecasting models are on the roadmap but are not in the shipping product today.

Auto-generate draft POs grouped by vendor

From the replenishment dashboard, select the SKUs you want to reorder and click generate. Vendee Pro groups the lines by preferred vendor, applies max(reorder_quantity, last 30-day velocity) as the suggested quantity, and creates one draft PO per vendor. If any of the selected rows are unlinked POS items, the system promotes them into local products (and creates the vendor when missing) inside the same transaction, so you don’t have to do that work up front. Edit quantities, add notes, change the destination location, and submit.

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 sits in a staging area and waits for your explicit confirmation before anything is written. Confirm or reject; nothing happens in between.

The system never auto-submits a PO to a vendor. Every reorder is a draft until you confirm it. The math is automated. The commit is human.

Frequently asked questions

What stock buckets does the reorder trigger use?

The trigger uses available stock, computed as on_hand − committed − unavailable (where committed is placed but unfulfilled and unavailable covers holds, damaged, safety stock). Open purchase order quantities are not netted into the trigger today, so review draft POs before submitting to avoid double-ordering a SKU that already has stock on the way.

Can I bulk-update reorder rules?

Yes. Select a group of inventory rows, pick which of reorder point, reorder quantity, or seasonal reorder quantity to apply, 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 still suggests reorders but recommends human review before submitting, and the AI assistant will note low confidence in its proposal.

What forecasting method does Vendee Pro use?

Today the shipping product uses a single 30-day moving-average method per (location, variant). Confidence is derived from how many of the last 30 days actually had sales for the SKU - sparse history yields a lower score. Weighted, linear-trend, and seasonal models are on the roadmap but are not yet in the shipping product.

Stop reordering off a hunch.

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