Know which SKUs to cut, keep and reorder. By store.
Retailloom reads sell-through rate, gross margin, and shelf-space allocation per store — not the chain average, not last season's plan. Every Monday morning, your category team gets a ranked decision list: cut, keep, or reorder with quantities.
14-day free trial • No credit card required
From raw POS data to ranked decisions in three steps
No data warehouse needed. No consultant required.
Connect your data
Upload POS exports, ERP reports, or connect directly. Shopify POS, Square, NCR, SAP Retail — flat file or API.
Retailloom reads the signals
We process sell-through, margin per SKU, and shelf space allocation — by store, not chain average.
Get your ranked decision list
Every Monday: cut, keep, or reorder — by SKU, by store. Exportable to your planogram tool or buyer workflow.
Four data dimensions. One ranked decision.
A cut/keep/reorder call made from one signal — sell-through alone, margin alone — is wrong about a third of the time. Retailloom runs all four together before producing a recommendation.
Sell-Through Rate
By store cluster and week — not the chain average that hides your hero stores and dead-weight stores.
Gross Margin per SKU
How each SKU's margin compares to the category average — a high-volume low-margin item may be costing shelf space.
Shelf Space Allocation
Facing count vs velocity — a SKU with 6 facings and 40% sell-through is underperforming, not struggling.
Plan vs Actual Deviation
Last season's forecast vs actual performance — large deviations flag which SKUs were planned on stale assumptions.
Here is what your category team sees on Monday morning.
One ranked sheet per category. SKU by SKU. Store by store. Cut, keep, or reorder with quantities.
| SKU ID | SKU Name | Store | Sell-Through | Gross Margin | Shelf Facings | Recommendation |
|---|---|---|---|---|---|---|
| SKU-1042 | Ceramic Mug Set | Store 14 — Mpls NE | 84% | 31% | 2 | REORDER 36 units |
| SKU-0887 | Woven Throw Blanket | Store 07 — Uptown | 62% | 28% | 3 | KEEP |
| SKU-2231 | Scented Candle 8oz | Store 23 — Edina | 27% | 14% | 6 | CUT |
| SKU-3309 | Bamboo Cutting Board | Store 14 — Mpls NE | 94% | 26% | 2 | REORDER 48 units |
| SKU-1155 | Linen Napkin 4-pack | Store 31 — St. Paul | 73% | 22% | 4 | KEEP |
| SKU-4478 | Glass Storage Jar Set | Store 07 — Uptown | 88% | 34% | 2 | REORDER 24 units |
| SKU-0662 | Decorative Tray Set | Store 23 — Edina | 31% | 21% | 5 | CUT |
| SKU-2890 | Herb Garden Kit | Store 31 — St. Paul | 67% | 29% | 3 | KEEP |
Category managers on the difference between a pivot table and a ranked decision list
We were running every category review from last year's sell-through averages. Retailloom showed us that three of our top-performing stores were running out of our best SKUs every week — we just couldn't see it in the chain average.
Category Manager, regional home goods chain
The cut list alone was worth it. We had six SKUs taking up six facings each with sub-30% sell-through. That space went to three new items that are already tracking at 75%. Retailloom made the case for me.
VP Merchandising, specialty gift retailer
I used to spend Tuesday building the POS pivot and Thursday deciding. Now I get the ranked list Monday morning and I'm in buyer conversations by Tuesday afternoon. Half the prep work just went away.
Buyer, 28-store outdoor goods chain
Stop running last season's plan.
Get your first ranked SKU decision sheet in 48 hours. No data warehouse needed.