A distribution center, sometimes called a distribution warehouse or logistics platform, is a physical facility where products are received from suppliers, temporarily stored, and then redispatched to stores or end customers. It plays a key role in the retail supply chain: it pools flows, optimizes transportation, and gives retailers control over delivery lead times. In terms of pricing, it influences landed cost and therefore the net margin of each reference.
Home improvement chain — 80 stores, opening of a regional distribution center
logistics cost savings (4.2% → 2.8% of revenue) following the opening of a 25,000-square-meter distribution center, split between margin and price reductions.
Reinvested in margin improvement
Reinvested in price cuts across 200 KVI stores—the department gained 3 percentage points of market share in 18 months
A home improvement retailer operating 80 stores in France is opening a 25,000 m² regional distribution center in the Nord department. Prior to this project to implement a pricing tool, each store was supplied directly by 150 suppliers, with logistics costs estimated at 4.2% of revenue. After the center became operational, logistics costs fell to 2.8% of revenue. The savings (1.4 percentage points) were split between margin improvement (0.9 percentage points) and investments in price reductions across 200 key product lines (0.5 percentage points). The affected product category gained 3 percentage points of market share in 18 months.
Le pricing dans un environnement avec centre de distribution doit intégrer le coût rendu réel par référence : prix d'achat fournisseur + coût de transport amont + coût de stockage en CD + coût d'éclatement vers les magasins. Les bons outils de pricing (ERP, pricing analytics) permettent de calculer ce coût rendu en continu et de le réinjecter dans les règles de pricing. Une référence à faible rotation coûte plus cher en logistique qu'une référence à forte rotation, ce qui justifie une marge plus élevée. Certaines enseignes vont plus loin en pilotant leurs flux en juste-à-temps, avec des livraisons plus fréquentes et des stocks réduits en centre de distribution comme en magasin.
A distribution center, sometimes called a distribution warehouse or logistics hub, is a physical facility where products are received from suppliers, stored temporarily, and then redispatched to stores or end customers. It plays a key role in the retail supply chain: it consolidates flows, optimizes transportation, and gives the distributor control over delivery lead times.
Not necessarily. Below 30 to 40 points of sale, the fixed costs of a dedicated DC often outweigh the savings generated. Pooling logistics with a provider may be more relevant.
Cross-docking (receiving followed by immediate dispatch without storage) is suited for high-turnover products with short lead times. Traditional warehousing is necessary for medium-turnover references or to absorb seasonal peaks.
For an omnichannel retailer, the DC can supply both stores and online orders. However, the pricing logic differs: the cost of fulfilling a single customer order is significantly higher than that of a store order.
See our solution: operational pricing consulting.

AI transforms sales forecasting by precisely separating baseline demand from promotional uplift. This granular SKU-by-store analysis enables real-time inventory adjustments and margin optimization. A key finding: the use of predictive solutions can reduce spoilage of perishable goods by up to 15%.

At most retailers, demand forecasting isn't done just once—it's done four times. Sales forecasts what it wants to sell, purchasing forecasts what it dares to order, and the supply chain forecasts what it can deliver at the lowest cost.
And pricing, almost always immediately thereafter, translates that same figure into pricing or promotional decisions. Four interpretations, four approaches, but only one real market to contend with.
Pricing isn’t a service that checks the forecast after an order has been placed—it’s the function that transforms it most quickly into a signal visible to the customer, even before a truck is loaded. Overlooking it in governance is like managing three out of four decisions and letting the one that’s most visible to the end customer slip by without any oversight.
This article does not address the mechanics of calculating a forecast—a separate guide in this series already covers that. It addresses the issue that, in practice, causes the most silent damage within a retail organization: who should be responsible for THE forecast, and how four departments—retail operations, procurement, supply chain, and pricing—each of which is correct within its own scope, end up collectively producing a result that no one chose.

A Booper article already online sums up the data needed for a forecast in one sentence: “sales history + granularity.” That’s true, but it says almost nothing about what makes that history useful —or misleading. How many years do you really need, and is the answer the same for yogurt as it is for a swimsuit? Does a stockout from six months ago still skew your model today? Does a change in department render part of the historical data unusable without anyone noticing? This guide addresses these questions one by one.