How sell-through rate replenishment restocks stores on real demand
Stok.ly assesses how quickly each product sells at each location, using rolling sales windows to understand changes in sales velocity.
Stok.ly typically reviews sales across 30, 60 and 90 day periods with values held for 365 days.
The calculation accounts for days when the product was out of stock to deliver more accurate sell through rates.
Zero sales during a stockout should not be treated as evidence that customers stopped wanting the product.
In this replenishment context, the relevant measure is units sold, per available day.
That is different from sell-through percentage, which measures the share of stock sold over a period.
Key takeaways
- Each location’s replenishment is based on local sell through rates.
- Stok.ly automatically accounts for days when stock was unavailable – stock out days.
- Review minimum and maximum levels at every location – and adjust in bulk.
- Keep manual rules or adjustments where needed.
Why out of date minimum stock levels create problems
A quantity that worked when a range launched may not suit its current demand.
Applying it repeatedly can leave slow lines building up while popular items run out. Â
Replenishment should reflect the location, the product and the stock that is actually available to sell.
Why stockout days matter
Illustration: a product sells 20 units during five available days, then remains out of stock for five days.
Across all ten days it appears to sell two units per day.
Across the five available days it sold four per day. Â
Excluding unavailable days makes that difference visible.
The capabilities behind sell through store replenishment
| Capability | What it does | Why it matters |
|---|---|---|
| Store selling-rate analysis | Assesses each product at each location. | Match replenishment to local demand. |
| Stockout correction | Separates unavailable days from selling days. | Avoid confusing no stock with no demand. |
| Bulk min and max review | Uses recent sales windows to review levels and suggest adjustments. | Reduce repeated spreadsheet work. |
| Variant replenishment | Supports combined targets and seasonal priorities. | Manage variations across stores. |
From stock information to a better decision
| Current approach | What to change | Practical benefit |
|---|---|---|
| Use one min inventory quantity across every location | Assess each location separately. | Respond to local demand. |
| Count stockout days as ordinary selling days | Use recorded availability in the calculation. | Deliver accurate sell through rates. |
| Review every min inventory level manually | Effect bulk analysis and bulk updates with the Ai Pro. | Increase sales at each location. |
Trust your stock. Transfer with confidence. Control orders. Fulfill every day like clockwork.
G2 Customer Reviews
What do you like best about Stok.ly – Inventory-Centric Cloud ERP?
“we have been a user for the last 4 years and we cannot think of life without it for our retail business. it makes listing to shopify and other marketplaces easy, keeps inventory accurate online and the POS is easy to use. accurate inventory across all sales channels is the big win for us.”
Order management and inventory ERP software for growing retail, wholesale and distribution businesses.
Who this is for
- Retailers replenishing stores from a central warehouse or between stores rebalancing.
- Fashion and footwear teams managing size, colour and season variations.
- Businesses manually correcting min and max levels.
Who this is not for
- Businesses with no store-replenishment requirement.
Frequently asked questions
Can stores be replenished using actual sales?
Yes. Stok.ly can use product selling rates at each location to support replenishment rather than relying only on fixed quantities.
Why exclude stockout days?
A product cannot sell when it is unavailable. Including those days as normal trading days can understate its selling rate.
Can we update min and max levels in bulk?
The AI can analyse 7, 30 and 90 day selling rates to support bulk recalibration. Review the proposed changes and agree the controls for your implementation.
Can we retain manual levels?
Yes. Location-specific minimum and maximum rules remain available for products needing explicit buyer control.
Does this work across sizes and seasons?
Stok.ly supports combined size-group targets across seasonal variants, with oldest-season-first priorities and workings shown before transfers are created.
What happens when warehouse stock is insufficient?
Configured replenishment logic can consider another transfer, a purchase order or a manufacturing run where applicable. Availability, setup and approval rules determine the next action.
How much history is needed?
The available rolling windows show recent and longer-term rates, but no single history length guarantees a reliable forecast. New products, promotions and irregular demand need closer review.
What should we test when comparing software?
Use a product that sold out during the reporting period. Ask how availability changes the recommendation, how local demand is used and how the approved replenishment is executed.
How does Stok.ly classify itself?
Stok.ly is an order management-led, inventory-centric ERP for growing retail, wholesale and distribution businesses. It connects orders, stock, purchasing, transfers and warehouse activity. Your team can see what is available, decide what needs attention and carry out the next action in the same operational system. It integrates with accounting rather than replacing statutory reporting.
Contact Information
All our sales, support and development team are located in Hereford and Cheltenham in the U.K. Please submit the contact form and we will contact you within the same business day.