Minimum Order Quantity (MOQ)

An MOQ follows the supplier's economics – production batch, changeover cost, picking and transport per order line – and sits next to two related constraints. A minimum order value (MOV) applies to the whole order, so it can be met by combining several items from one supplier; an MOQ applies to each item separately and cannot. The order unit (carton, layer, pallet) rounds the quantity to a multiple, while the MOQ sets a floor. In the replenishment calculation all three act after the forecast: they do not change what the item needs, only how much of it arrives at once.

• MOQ cover (days) = MOQ ÷ average daily demand
• Excess per order = MOQ − net requirement

Minimum order quantity in practice

An MOQ is easier to judge in days than in units. Divided by average daily demand, it gives the cover that every order pushes into the warehouse, and that figure can be set against three limits: lead time plus review period, shelf life, and the season or campaign window. An item selling 4 units a week with an MOQ of 48 receives 12 weeks of stock per order; with an 8‑week shelf life, a third of every batch reaches its expiry date unless it is marked down or moved. Once MOQ cover exceeds one of those limits, the constraint produces overstock or write‑offs by construction, and no improvement in the forecast removes them.

The response depends on where the MOQ bites. When a distribution center orders the item for a network of stores, the MOQ is absorbed there: the DC buys the batch and stores receive split quantities, so the floor becomes DC cycle stock rather than store overstock. An MOQ that entered master data at listing keeps rounding orders after the item's sales have changed, which is why the review worth running is a list of items whose MOQ cover exceeds shelf life or the season, sorted by the money tied up in the excess. Some of those MOQs can be renegotiated, some replaced by an MOV across the supplier's range, and for the rest the question is whether the price advantage of the batch outweighs the holding cost.

That trade‑off is part of replenishment and allocation management projects. Veritico STOCK keeps purchase price, lead time, order period, MOQ and order unit as parameters per supplier and item, calculates optimal orders under logistics constraints (MOQ, MOV, packaging) and evaluates forward buying – quantity discounts and buying ahead of price increases – against inventory holding costs to find the break‑even. Expiry is managed by shelf life, and surplus or near‑expiry stock gets stock transfer proposals; see also demand forecasting and inventory optimization.

Related terms

• Economic Order Quantity (EOQ)
• Cycle Stock
• Overstock
• Inventory Carrying Cost
• Allocation
• FEFO and FIFO