Key takeaways
- Transfers fix stock in the wrong store, not stock the chain does not have.
- A move costs freight and, above all, store labour: pack and unpack in bulk, between nearby stores.
- Not every empty shelf needs a transfer: much of the demand for a missing item moves to a similar one.
- Connect stores whose sales do not move together; there is no need to link every store with every other.
- If transfers become routine, the first allocation is wrong; fix that before moving more stock.
A product that has not sold in one store for weeks and keeps selling out in another looks like stock the chain already owns. Moving it means no new order, no supplier minimum and no wait for delivery. Sometimes it really is the cheapest fix. The research on transfers between stores, known in operations research as lateral transshipment, shows when it pays, when it costs more than it saves, and when the need for it is a sign of a different problem.
1. Transfers fix imbalance, not shortage
A transfer can only move stock the chain already holds. When there is too little of a product across the whole network, moving it between stores mostly moves the empty shelf. A study of 212 health facilities sharing medicines found exactly that: transfers made "little impact on the overall service level" when stock across the system was scarce, and paid off only when there was enough in total, sitting in the wrong places1. So the first question is the chain total: if it is short, the answer is an order, not a transfer.
2. What a transfer costs
The freight is the visible part. At LC Waikiki, Turkey's largest apparel retailer, moving an item between stores costs roughly 1 to 5% of its price, and sending it back to the depot 3 to 7%2. The hidden part is store labour. LC Waikiki sends the whole stock of a product to a single store rather than splitting it, because of "the considerable labor and time burden associated with sorting such items", and its stores can pack for, or unpack from, only a limited number of other stores each week2.
Grocery is harder still. When researchers interviewed twelve grocery retailers in Germany about preventing waste, store-to-store transfers came out as low impact and rarely used; one retailer put it as "logistics costs eat up potential earnings", and only nearby stores were considered at all3. A transfer pays when the margin it saves is clearly larger than the freight plus the time two stores spend on it:
| Pays when | Does not pay when |
|---|---|
| The chain holds enough in total, in the wrong stores | Does not pay whenThe chain is short overall |
| The product sells in the receiving store now | Does not pay whenIt sells nowhere, or only after a markdown |
| The stores are close and the move is one bulk lot | Does not pay whenMany small lots go to many stores |
| Margin per unit is well above the cost to move it | Does not pay whenThe item is cheap, bulky or chilled |
| Shelf life leaves time to sell after the move | Does not pay whenIt expires in the receiving store too |
3. Not every empty shelf needs a transfer
Some of the demand for a missing item is not lost; it moves to the nearest substitute. In a sportswear chain of 217 stores, about half the unmet demand for an out-of-stock shoe went to the next size of the same style, a fifth to other styles, and the rest, a little over a quarter, was lost4:
Where demand for a missing item went
- Adjacent size, same style
- Bought instead, from the same shelf.
- Another style
- Bought instead, from another product.
- Lost
- Not bought in the store at all.
The exact split is 51.7%, 20.2% and 28.1%, and it changes when stock-outs spread: when many items are missing at once, fewer customers find a substitute and lost sales rise sharply4. A transfer pays most for the item without a close substitute, or in a store where several of its substitutes are out at the same time. The out-of-stocks guide shows how to find those shelves first.
4. Which stores to connect
A chain of n stores has n² possible routes between them, against 2n if everything goes through a warehouse6. Few chains can manage hundreds of routes, and they do not need to. Using three years of grocery sales, Griffin and colleagues showed that grouping stores whose demand does not move together, so that one has spare stock when the other runs short, keeps most of the benefit of transfers at a fraction of the complexity5. In practice that means small groups of nearby stores, not one network where everything moves everywhere.
Whether to move stock directly or through the warehouse depends on freight. In a model built with the Spanish children's-wear brand Nanos, direct moves won unless shipments through the warehouse cost about half as much6; the authors note their figures come from generated instances, so the direction holds better than the number.
5. When transfers point to a different problem
In the health network above, a third or more of all demand was met by transfers, and the authors trace that to the first allocation: deliveries came in fixed boxes that did not match what each facility used1. A chain that moves a large share of its stock between stores every week is usually allocating it wrongly in the first place, and the reorder point guide covers sizing each store's order to its own sales.
Transfers are also a cost of excess, not only a cure for it. Burlington Stores lists "transferring product to other stores" next to markdowns among the responses to excess inventory that "would further decrease our gross profits"7. Stock that sells nowhere is a dead-stock question: return, markdown or clearance, not a tour of the network.
6. A weekly transfer rule
The sending store holds well above its maximum, with weeks of cover
The receiving store sells the product and is at or below its reorder point
The sender keeps at least a week of its own sales
The margin on the units moved covers the freight and handling
The whole lot goes to one nearby store in one move
Propose the transfer
Order from the supplier, or treat it as dead stock
Run it once a week, on the same day stores already receive deliveries, so the move travels with existing freight. Then check what each accepted transfer did: whether the product sold in the receiving store, or simply sat there instead.
7. Limitations
Most of the studies are models tested on real or realistic data rather than measured results, two are cited from their abstracts, and the network study is from public health rather than retail. The split of lost demand comes from footwear, where sizes substitute for one another more than most products do. Freight and labour costs differ widely by country and category.
How marql proposes transfers
marql reads sales and stock for every product in every store and proposes a transfer only where the rule above holds: one store holds well above its maximum, another sells the product and is at or below its reorder point, the sender keeps at least a week of sales, and the margin on the units covers the cost of moving them. Warehouses are left out. These are three of the moves it listed for Berezka Retail, a chain of 20 stores in Romania, in its success story:
Mixed sweets by the kilo
31 kg
Lavash, packs of 10
42 packs
Black sturgeon caviar, 500 g
1 jar
Every transfer is a proposal that a person accepts or dismisses. In a chain on the e:corg ERP an accepted transfer becomes a draft there; with other systems it leaves marql as a file.
Sources
- Vanvuchelen, N., De Boeck, K. and Boute, R. N. (2023). Cluster-based lateral transshipments for the Zambian health supply chain. European Journal of Operational Research. doi.org
- Naderi, S., Daşcı, A. and Kılıç, K. (2024). Joint transshipment, markdown, and clearance decisions at a fast-fashion retailer. International Journal of Production Research, 63(3), 927-948. doi.org
- Winkler, T., Ostermeier, M. and Hübner, A. (2023). Proactive food waste prevention in grocery retail supply chains: an exploratory study. International Journal of Physical Distribution & Logistics Management, 53(11), 125-156. doi.org
- Li, S., Lu, L. X., Lu, S. F. and Huang, S. (2023). Estimating the stockout-based demand spillover effect in a fashion retail setting. Manufacturing & Service Operations Management, 25(2), 468-488. doi.org
- Griffin, E. C., Keskin, B. B. and Allaway, A. W. (2023). Clustering retail stores for inventory transshipment. European Journal of Operational Research, 311(2), 690-707. doi.org
- González-Díaz, J., González-Rueda, Á. M., Llana García, M. and Rodríguez Veiga, J. (2024). Optimal policies for stock redistribution in a retail network. arXiv:2410.18571, preprint. arxiv.org
- Burlington Stores, Inc. (2025). Fiscal 2024 Annual Report and Form 10-K. sec.gov
TopicsStock transfers, Inventory rebalancing, Store replenishment, Retail chains
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