Inventory Reorder Planner
Stockouts burn revenue on the products that sell; overstock buries cash in the ones that do not. Both come from ordering by gut. Input: sales history export (POS, Shopify, marketplace, or spreadsheet), current stock counts, and supplier lead times (asked per supplier if not provided). Output: reorder points per SKU and the purchase list for this week.
Workflow
- Profile every SKU. From sales history: average daily/weekly velocity, variability, trend (growing/flat/dying), and seasonality where the history is long enough to show it (holiday spikes, summer lulls) -- flagged per SKU, never assumed.
- Classify. ABC by revenue contribution (A: the ~20% of SKUs driving ~80%), crossed with velocity:
WINNERS (high velocity, healthy margin -- never stock out), STEADY, SLOW, DEAD (no sales in 90+ days with stock on hand).
- Compute reorder points. Per SKU: lead-time demand (velocity x supplier lead time) plus safety stock scaled to demand variability and the SKU's class -- A items get generous buffers, C items get lean ones. Show the formula inputs per SKU so the owner can sanity-check against what they know ("velocity 4/wk, lead time 3 wks, safety 1.5 wks = reorder at 18").
- The purchase list.
reorder-plan.csv: every SKU at or below reorder point, recommended order quantity (covering the review cycle plus lead time, respecting supplier minimums and case packs when known), cost, and supplier -- grouped by supplier to build actual POs. Flag URGENT where projected stockout lands before the order can arrive.
- Free the cash. The dead-stock report: units, cost tied up, days since last sale, and the exit per item -- bundle with a winner, discount, donate for the writeoff, or return to supplier. Cash sitting in dead stock is the cheapest funding most product businesses never tap.
Rules
- Velocity from real sales only; no history means
NEW -- judgment order, clearly separated from computed recommendations.
- Stockout periods bias velocity down -- when the data shows zero-stock stretches, compute velocity from in-stock days only and note it.
- Seasonality is applied only where the data shows it, and the applied multiplier is stated per SKU.
- Supplier constraints (minimums, case packs, price breaks) are asked for, and rounding to meet them is shown, not silent.
- A items err toward buffer, C items err toward lean -- one safety-stock policy for everything is the amateur tell.
- Re-run on a cadence (weekly or per supplier order cycle); each run compares last cycle's recommendation to what actually sold and tightens.
Quick Commands
- "Plan from [sales export] and [stock counts]" -- full workflow
- "What do I order this week?" -- the purchase list only
- "What's about to stock out?" -- URGENT list
- "Where's my cash buried?" -- dead-stock report
1---2name: inventory-reorder-planner3description: Turn sales history and current stock counts into reorder points, order quantities, and a this-week purchase list -- so a product business stops stocking out of winners and stops burying cash in losers. Handles seasonality, supplier lead times, and the dead-stock cleanup.4---56# Inventory Reorder Planner78Stockouts burn revenue on the products that sell; overstock buries cash in the ones that do not. Both come from ordering by gut. Input: sales history export (POS, Shopify, marketplace, or spreadsheet), current stock counts, and supplier lead times (asked per supplier if not provided). Output: reorder points per SKU and the purchase list for this week.910## Workflow11121. **Profile every SKU.** From sales history: average daily/weekly velocity, variability, trend (growing/flat/dying), and seasonality where the history is long enough to show it (holiday spikes, summer lulls) -- flagged per SKU, never assumed.132. **Classify.** ABC by revenue contribution (A: the ~20% of SKUs driving ~80%), crossed with velocity: `WINNERS` (high velocity, healthy margin -- never stock out), `STEADY`, `SLOW`, `DEAD` (no sales in 90+ days with stock on hand).143. **Compute reorder points.** Per SKU: lead-time demand (velocity x supplier lead time) plus safety stock scaled to demand variability and the SKU's class -- A items get generous buffers, C items get lean ones. Show the formula inputs per SKU so the owner can sanity-check against what they know ("velocity 4/wk, lead time 3 wks, safety 1.5 wks = reorder at 18").154. **The purchase list.** `reorder-plan.csv`: every SKU at or below reorder point, recommended order quantity (covering the review cycle plus lead time, respecting supplier minimums and case packs when known), cost, and supplier -- grouped by supplier to build actual POs. Flag `URGENT` where projected stockout lands before the order can arrive.165. **Free the cash.** The dead-stock report: units, cost tied up, days since last sale, and the exit per item -- bundle with a winner, discount, donate for the writeoff, or return to supplier. Cash sitting in dead stock is the cheapest funding most product businesses never tap.1718## Rules1920- Velocity from real sales only; no history means `NEW -- judgment order`, clearly separated from computed recommendations.21- Stockout periods bias velocity down -- when the data shows zero-stock stretches, compute velocity from in-stock days only and note it.22- Seasonality is applied only where the data shows it, and the applied multiplier is stated per SKU.23- Supplier constraints (minimums, case packs, price breaks) are asked for, and rounding to meet them is shown, not silent.24- A items err toward buffer, C items err toward lean -- one safety-stock policy for everything is the amateur tell.25- Re-run on a cadence (weekly or per supplier order cycle); each run compares last cycle's recommendation to what actually sold and tightens.2627## Quick Commands2829- "Plan from [sales export] and [stock counts]" -- full workflow30- "What do I order this week?" -- the purchase list only31- "What's about to stock out?" -- URGENT list32- "Where's my cash buried?" -- dead-stock report
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