Cost to serve: finding out which orders lose money
What this answers
Which customers, channels and order profiles consume more supply chain cost than their margin supports?
Gross margin is calculated at the product level, but the cost of getting that product to a particular customer in a particular way is not. Cost to serve closes that gap by allocating handling, storage, delivery and service effort to the customers, channels and order profiles that actually cause it. The results are usually uncomfortable, because a substantial share of revenue routinely turns out to be delivered at a loss.
Written for: commercial and account managers, supply chain analysts building cost models, finance teams assessing customer profitability.
Cost follows behaviour, not revenue
The drivers are order frequency, order size, line count, drop density, delivery window, packaging and labelling requirements, returns, and the amount of manual coordination each account generates. A customer placing frequent small orders with tight windows and bespoke labelling can consume several times the cost of one buying the same annual volume in planned bulk deliveries. Averaging that cost across all revenue subsidises the demanding account with the margin of the efficient one.
Allocate by activity, and only where it changes the answer
The method is to identify the activities that consume resource, establish what drives each, and assign cost accordingly. Precision beyond the point of decision usefulness is wasted effort: the aim is to separate the clearly profitable from the clearly unprofitable, not to compute a figure to the last unit. Spreading overhead evenly is what the exercise exists to avoid, so any allocation that reverts to a percentage of revenue defeats the purpose.
Reading the distribution
Plotting cumulative profit against customers ranked by contribution typically produces a curve that rises, flattens and then falls, with the decline caused by accounts whose service cost exceeds their margin. The shape matters more than any individual figure, because it shows how much profit is being consumed by the tail and therefore how much is available from fixing it.
Turning the finding into action
Loss-making accounts are rarely resolved by exit. The usual levers are changing the ordering pattern through minimum order values or fixed delivery days, charging for services that were previously absorbed, adjusting price to reflect actual service consumption, or moving the account to a lower-cost fulfilment route. The analysis is only useful if the commercial team is part of it from the start, since they are the ones who will have the conversation.
Frequently asked questions
- How detailed does the model need to be?
- Detailed enough to distinguish materially different service behaviours and no more. A model that takes months to build and cannot be refreshed will be obsolete before it is used, whereas a simpler one maintained quarterly keeps influencing decisions.
- Should unprofitable customers be dropped?
- Usually not immediately. Many become profitable once the ordering pattern or the service level is changed, and some absorb fixed cost that would remain after they left. Exit is the last option, after the cheaper commercial adjustments have been tried.
- How does cost to serve relate to landed cost?
- They cover opposite ends of the flow. Landed cost accumulates everything spent getting goods into your possession at a usable location; cost to serve accumulates what is spent moving them from there to a specific customer under that customer's particular requirements.
Data limitations
- Logistics figures are operator-supplied inputs, not market data. GeoBusinessIQ holds no freight rates, transit times, capacity, or throughput data and does not estimate them — every result reflects only the figures you enter.
Explore the graph
Related logistics topics
- Total landed cost management: comparing sources honestly
- Supply chain segmentation: running several chains at once
- Supply chain KPIs: a measurement set that survives scrutiny
- Logistics planning: turning a supply plan into flow commitments
- Network design: how many nodes, where, serving whom
- ABC analysis: directing attention across an uneven catalogue
- Bullwhip effect: why order swings grow upstream
- Business continuity planning for supply operations
- Capacity planning: sizing the ability to supply
Sources
- OECD — OECD — economic and tax statistics (accessed ; reviewed )Covers: Comparable corporate tax, statutory rate, and economic indicators across member and partner economies.Does not cover: Effective tax rates, deductions and incentives, local surtaxes, and personal residency rules.Why it matters: Used as a cross-country baseline to sanity-check rates against primary tax-authority figures.Review cadence: Annual, plus on major statutory changes.
- World Bank — World Bank — Trade (accessed )Covers: Trade and logistics performance research, trade facilitation and supply-chain development analysis.Does not cover: Live freight pricing, carrier schedules, or company-level logistics data.Why it matters: Multilateral development institution publishing comparative research on trade logistics; used for structural comparison, not for point-in-time operational figures.Review cadence: as published
Educational and operational information only — not legal, customs, tax, insurance, or financial advice. Requirements vary by jurisdiction, commodity, and contract; confirm with the relevant authority or a qualified adviser before acting.
Last updated: