Fleet Management for Dairy

The quality question in dairy is not distance, it is elapsed time from first collection to chilling, and it applies to the whole load rather than the last village.

Measuring that per route rather than per vehicle is what exposes the problem, because a route that runs twenty minutes late every day compounds across every collection point on it.

Once measured, the fix is usually sequencing rather than speed: which village goes first, and where the route doubles back.

A collection route is an ordered list, and the order is part of the design. Visiting points out of sequence to save a few kilometres extends time-to-chilling for everything collected earlier.

What is worth tracking is arrival time per collection point against plan, not just whether the route was completed.

That also answers the recurring procurement dispute about which society was reached late, with a record rather than an argument.

Once milk is in a bulk tanker, temperature in transit determines whether it arrives usable, and the receiving test is currently where most operators find out.

Continuous logging tied to location moves that discovery earlier and makes it attributable: a rise at a specific time and place is actionable, a failed test at the dock is not.

The same principle covered in cold chain monitoring applies, with the difference that dairy tolerances are tight and the journey is short.

Collection routes run where cellular coverage is patchy, which breaks systems that assume continuous connectivity.

A device that buffers positions through a gap and uploads on reconnection preserves the trip; one that does not leaves a hole exactly where the route was hardest to serve.

For vehicles hired seasonally at peak procurement, consent-based SIM tracking covers the gap without fitting hardware for a few weeks.