Market Analysis
Part of Retail supply and stock trends
Analysing lead-time changes across retail categories
Compare consistent order-to-sale dates, partial deliveries and delivery variation before judging retail category lead times.
Compare the same interval in every retail category: from supplier order acceptance to stock ready for customers to buy. A quoted shipping time, warehouse receipt and shelf-ready date have different endpoints. Mixing them can create an apparent category difference where none has been measured.
Build the timeline
For each order, record acceptance, promised dispatch and arrival, actual receipt, and the date units became sellable in store or online. Split the journey into supplier preparation, transport, receiving and allocation. This shows where time changed.
Use completed orders from comparable periods; report cancelled orders separately. For partial deliveries, record when each portion became sellable and how much of the order it represented. Counting the first delivery as completion can otherwise make replenishment appear faster than it was.
Retail Lead Time Journey: From Order Acceptance to Sellable Stock
- Order Acceptance
- Date supplier confirmed order
- Supplier Preparation
- Time to prepare goods for dispatch
- Transport (Dispatch to Arrival)
- Actual shipping duration
- Warehouse Receipt
- Date stock arrived at distribution centre
- Receiving & Allocation
- Internal processing and routing to store/online
- Stock Ready for Sale
- Date product available to customers
Steps to Accurately Measure Retail Lead Times
- Define the start and end pointsFrom order acceptance to stock ready for sale
- Record all key milestonesAcceptance, dispatch, arrival, receipt, allocation, sellable date
- Track partial deliveries separatelyRecord when each portion becomes sellable
- Use consistent definitionsDefine 'late' based on promise date before delivery outcome
- Report median and spreadInclude number of orders and variability (e.g., IQR)
Compare comparable orders
Category labels can hide different buying arrangements. An everyday replenishment line, a made-to-order product and a short-season item follow different order patterns. Compare similar products, order sizes, suppliers, destinations and fulfilment endpoints. If the mix changed, disclose that before attributing a shift to the category itself.
Show a typical lead time and its spread—such as the median and a late-delivery measure—alongside the number of orders. A single average can hide delays that matter to product availability. Use the same definition of a late delivery in each group, based on a promise date recorded before the outcome was known.
| Question | Useful comparison | Limit |
|---|---|---|
| Did replenishment slow? | Order acceptance to sellable-stock date | A changed order mix can move the result. |
| Did it become less reliable? | Share delivered after the original promise | Revised promises can conceal lateness. |
| Where did time increase? | Supplier, transport and internal handling stages | A freight price does not measure elapsed time. |
| Did availability suffer? | Lead time beside stock cover and demand during the wait | Longer lead time need not cause a stockout. |
Lead Time Performance Across Retail Categories
- Category
- Apparel (Seasonal)
- Category
- Groceries (Perishables)
- Category
- Electronics (Standard Stock)
Use the result for stock planning
Estimate demand while the next order is in transit and consider how much that demand and delivery time vary. A less reliable route may require more cover, but extra stock must still be useful when it arrives. This matters especially for short selling seasons or changing product specifications.
Report the product group, order cohort, period, start and end points, typical interval and variation. If only a supplier schedule is available, label it as a promise. An actual lead-time change needs observed dates.
