Insights · Supply Chain

Cold Chain Cost-to-Serve: Why Distribution Can Destroy Food Manufacturing Margin

Chilled and frozen distribution is where food manufacturers most often lose margin they believe they have earned. The freight rate is the least interesting number in the equation. Drop size, order frequency, delivery windows, temperature control, shelf-life loss, returns and credit notes decide whether a chilled customer is profitable. Because those costs land in logistics and quality rather than against the account, cost-to-serve in cold chain is usually understated and almost never visible where trading decisions are made.

10 minute read

Cold store aisle with palletised chilled product

What this covers

  • The real cost drivers in chilled distribution
  • Shelf life as a commercial asset
  • Returns, credits and waste
  • Network and outsourcing decisions
  • Building a cost-to-serve view that changes decisions
Factory layout drawings, scale ruler and hard hat on a planning desk

Detail

Cost drivers

Cost per case in cold chain is driven by drop size, drop density, order frequency, vehicle fill, delivery window constraints and waiting time at receiving. Two customers with identical volume can differ by several margin points on these factors alone. Model cost per case delivered by customer rather than per kilometre or per pallet, and the ranking of accounts will change.

Shelf life

Every day of shelf life consumed in the network is margin at risk. Long lead times, consolidation delays, buffer stock held at ambient risk points and slow-moving lines all reduce the saleable window and increase markdown and returns. Manage remaining shelf life at dispatch as a commercial measure, not a quality one.

Returns, credits and waste

Returns in chilled categories are usually destroyed rather than resold, so a return costs the full product value plus handling plus the freight both ways. Track returns by customer and by reason. Where returns concentrate in a few accounts or a few lines, the fix is commercial — order patterns, minimums, forecast sharing or delisting — rather than operational.

Network and outsourcing

Decisions about own fleet versus third-party logistics, direct delivery versus consolidation, and regional cross-docking should be modelled against service requirements and volume density, not against headline rates. Third-party cost is transparent and variable; own fleet cost is fixed and often understated because vehicle, labour, compliance and management costs sit in different places.

Making it decision-ready

A cost-to-serve model earns its cost only when it drives action: revised minimum order quantities, delivery-day discipline, order-frequency changes, revised trading terms, or exit from accounts that cannot be served profitably. Build it at the level of detail needed for those decisions and no further.

Questions worth answering internally

If these cannot be answered with evidence, the decision is not yet ready.

  • Which chilled customers are unprofitable after cost-to-serve?
  • How much shelf life do we lose before the customer receives product?
  • What do returns cost us fully, by account?
  • Would fewer, larger deliveries be commercially acceptable?
  • What will we change once we have this view?