Pricing is one of the most consequential decisions a company can make. Get it right and you win profitable business, retain good customers and protect your margins. Get it wrong and you can win the contract anyway and spend the next three years losing money without knowing why.

Much logistics pricing relies on benchmarks, historical rates, market intelligence, competitor comparisons and instinct. These inputs are useful, but they can't replace accurate cost-to-serve data that shows what it actually costs to move a shipment.

The contract renewal trap

Nowhere is this more dangerous than at contract renewal particularly for large, long standing customers with large volumes. Commercial teams will want to retain the business so there's pressure to hold rates or offer a discount to counter competitors.

Without accurate cost-to-serve data, commercial teams are negotiating blind. They don't know whether the contract is profitable or which shipment profiles are loss-making. Does a 3% discount tip a marginal account into the red, or is there genuine room to move?

The default is often to use blended averages, historical data and a feel for what the market will bear. The contract gets renewed. The margin erodes a little further. And the cycle repeats.

This is a common reality where large e-commerce and retail customers routinely negotiate volume-based pricing.

The RFQ problem

The same challenge applies when responding to RFQs. The clock's ticking and commercial team needs to price a complex multi-lane, multi-service, big volume proposal.

Without a robust cost-to-serve model, prices could be set conservatively high to protect margin and the business loses on price; or set aggressively to win the business and margins are quietly destroyed from day one. Both situations are avoidable.

Operators with access to accurate, shipment-level cost data can price with precision. They know the floor cost on each lane. They know which service levels carry higher indirect costs and which volume thresholds change the cost equation. That knowledge translates into more competitive, confident and profitable pricing.

Fuel surcharges

Fuel is a major and volatile logistics cost driver managed via periodically adjusted surcharges.

It's a practical solution to a complex problem. But also a blunt instrument. Fuel costs vary significantly by lane, vehicle type, route density, load factor etc. A uniform surcharge across all customers and shipment types will inevitably over recover on some and under recover on others.

For operators with access to lane and shipment-level cost data, surcharge management becomes more precise and easier to defend.

Pricing as a competitive advantage

Most companies treat pricing as a commercial function and costing as finance, with the two rarely talking enough to support good pricing.

Operators who encourage collaboration and put accurate, real-time cost-to-serve data into the hands of commercial and pricing teams will reap the rewards. Pricing stops being a dark arts negotiation and becomes a data-driven discipline. Discount decisions can be made with full visibility of margin impact and business is won at rates that are both competitive and profitable.

That doesn't just protect margin. It builds a commercial capability that is difficult for competitors to replicate because it's grounded in operational data unique to your business.

Every pricing decision in logistics has a floor. Knowing where that floor is located is the basis of every good decision.

Without it, it's estimating not pricing. And in a market with squeezed margins, fierce competition and increasingly sophisticated customers, estimates are not sustainable.