CRM ROI Calculator for Logistics: What Slow Rate Quotes Cost You Every Month

The leak is measured in hours, not days

Spot freight is a race. A shipper with cargo ready sends the same enquiry to four forwarders and books with whoever answers first at an acceptable rate. Being second by two hours is functionally the same as not quoting. Most forwarding offices know this and none of them can tell you their median turnaround, because the enquiry arrived in somebody's inbox and the rate went out from the same place.

The second leak is the account that shrank quietly

Logistics customers rarely resign. They send eight shipments instead of twelve, then five, then one, while their new provider grows. Because operations remains busy and invoices keep arriving, nobody notices until the account is effectively gone. Tracking monthly shipment count per customer is the cheapest defensive measure available, and it is almost never done.

Five. Rate enquiries received per month across every channel. Median hours from enquiry to rate despatched. Quote-to-booking conversion, measured over a quarter. Net margin per shipment, from finance and after carrier cost. And the number of sales and pricing staff who would hold a licence.

Add two if you can. The share of enquiries never quoted at all, which is the coverage gap, and monthly shipment count for your top twenty accounts, which is where retention value hides. Retention is usually worth more than acquisition in freight, yet it rarely appears in a business case.

These are example figures, substitute your own. They are illustrative only, not measured outcomes, not market averages, and not a prediction for your lanes.

Build a second version of this table for retention rather than acquisition. Take your top twenty accounts, their monthly shipment count and the same net margin figure, and model what protecting ten per cent of that volume is worth. In most freight businesses that table is larger than this one, and it rests on a far weaker assumption.

Baseline a full quarter before go-live: enquiries by channel, median hours to quote, quotes issued, bookings won, net margin per shipment, and monthly shipment count for your top twenty customers. Also note where rates were in that quarter, because a falling market lifts volume and a rising one suppresses it regardless of what your sales team does.

At 90 days, quote turnaround is the honest test. It should fall within the first month if enquiries are genuinely being routed through the system, and if it has not, nothing else in the model is meaningful. Conversion follows turnaround by roughly a quarter. Retention takes longer still, so treat the top-twenty volume table as a six-month measurement rather than a ninety-day one.

It assumes carrier capacity and space are available for every additional booking, which in peak season they are not. It assumes recovered bookings carry average net margin, when faster quoting tends to win the price-driven enquiries that are thinnest. It ignores the operations and documentation load created by higher volume, which is a real cost with real headcount attached.

It also isolates the software from the market, which in freight is close to indefensible. Rate cycles move volumes by far more than any conversion improvement, and a quarter that coincides with a soft market will produce a result you cannot attribute. Finally, it credits the tool for a discipline decision: an office that quotes every enquiry within two hours captures most of this without new software.

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