Four operational challenges across commodity transport, field services, food operations, and municipal contracting — each solved with a purpose-built system.
A commodity trading company managing 10–20 vehicles across multiple subcontracted transport partners had no reliable way to monitor fuel consumption. Losses were accumulating undetected every month — with no way to identify where, when, or with which partner.
A Python-based fuel monitoring API connected to a real-time web dashboard. Fuel issued vs consumed, distance vs usage, time-based trip analysis, and automated exception alerts — all running across every vehicle and every partner without manual input.
500 job cards produced by hand every month. Each card: extract data from source, copy by hand across 10 fields, print old meter image, print new meter image, attach all three pages. 7 minutes per card. Every single time.
A fleet of 20 vehicles with no centralised performance view. Operational decisions only possible after month-end data was compiled. By the time the picture was clear, the moment to act had passed.
An electrical contractor with 6 field technicians across 4 sites had no live view of what teams were doing. Work was logged manually. Reports were delayed. Proving completion to clients relied on paperwork that was often late.
If your operation is dealing with poor visibility, manual workflows, or disconnected data — there is a good chance we have solved something similar.