Diversify the customer base
When it may fit: A few customers dominate.
Evidence needed: A pipeline of new customers.
Trade-off: Growth takes time and sales effort.
Fleet Intelligence Brief
How to Investigate Customer Concentration Risk
When a few customers account for most of the revenue, losing one can hurt badly. Measuring concentration, and the profit behind it, comes before deciding how much to worry.
1. The business problem
What happens to us if our biggest customer leaves?
Most carriers depend on a handful of customers. Concentration is not bad in itself: large customers bring volume and efficiency. The risk is in the size of the loss if one leaves, and in the pricing power it gives the customer.
A concentration review measures the exposure and tests how the business would hold up under a loss.
2. What the evidence can reveal
Concentration is measured and then stress-tested:
- Calculated Share of revenue and of contribution from the largest customers.
- Calculated Contract terms: length, renewal dates and exit rights.
- Calculated The effect on profit of losing a major customer, given the fixed costs that remain.
- Information gap Customer health, alternatives available to the customer and the relationship’s strategic value.
Share of contribution can differ from share of revenue, and it is the more important measure.
3. Investigate the problem
The synthetic carrier is analyzed by lane, not customer, so we treat lanes as stand-ins for large customers. Calculated The two largest lanes, Northeast corridor ($4.10M) and Southeast dedicated ($3.70M), together account for about 46% of revenue of $16.9M.
Calculated A loss of volume of that size would be costly because fixed costs stay. Insurance and fixed costs were $3.35M. A 1% fall in loaded miles reduces profit by about $46K, so a loss of freight equal to, say, 10% of miles would cost about ten times that, before any fixed-cost reduction.
Hypothesis The exposure may be greater than revenue share suggests if the large lanes also carry the strongest margins. Information gap Customer-level data, contract terms and replacement options are needed to complete the view. A stress test, asking what profit would be if the largest customer left and how long it would take to replace the freight, is the practical way to size the risk.
4. Explore the interactive experience
Investigate it yourself.
Fleet Economics Dashboard: a lane-level dashboard with empty-mile share, a scenario simulator for rate, fuel, miles and empty miles, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below is built on a synthetic carrier, “Demo Freight Co.,” analyzed by lane. It has no customer-level, vehicle-level or delivery-level records, so lanes are used to show the method. Nothing in it is real.
- In the Scenario tab, the preset lowers loaded miles by 10%, a stand-in for losing a large customer. Note the profit effect.
- Add a 3% rate increase. Could pricing offset the loss?
- Ask APIS how sensitive profit is to a change in volume.
5. Evaluate possible solutions
Managing concentration is about diversification and about contract terms.
6. What leadership should do next
Questions to answer
- What share of revenue and contribution comes from the top five customers?
- When do those contracts renew?
- What would the loss of the largest cost?
- How quickly could we replace it?
Data to gather
- Revenue and contribution by customer
- Contract terms
- Fixed cost detail
- Sales pipeline
Steps to take
- Rank customers by contribution.
- Stress-test the top customer’s loss.
- Set a concentration limit.
- Build the pipeline.
7. Engage Two Pillars
Understand the Economics of Your Fleet
Two Pillars can help carriers, fleet operators, brokers and logistics businesses investigate lane, vehicle, customer, cost and expansion economics using your own data. A good first step is a customer concentration review with a stress test of the largest relationships.
Sources and data notes
- The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
- Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.