AI-Based Fuel Intelligence System Development

I need to build a Fuel Intelligence System around the fleet. The system should collect: 1. Truck GPS Odometer Engine hours CAN-bus data Fuel level Fuel consumption Idling 2. Driver Driver ID Driving behaviour Speed Harsh acceleration/braking Excessive idling Route deviations 3. Fuel Every fuel-card transaction Litres Rand value Station Date/time Truck Driver GPS position 4. AI layer The AI then calculates the expected fuel consumption for every truck and journey. For example: Truck normally achieves 2.4 km/L Today's trip = 720 km Expected fuel = 300 L Actual fuel purchased = 390 L Variance = 90 L The system then investigates why. It could determine that the additional consumption was caused by: excessive idling speeding heavy traffic route deviation vehicle mechanical problem abnormal fuel transaction inaccurate fuel sensor possible fuel theft/diversion This is where AI becomes really valuable. Instead of your fleet manager looking through 300 trucks × hundreds of fuel transactions, the AI tells them: 7 trucks require investigation today 18 trucks have abnormal fuel consumption 275 trucks operating within expected parameters That is the kind of system I'd target. One important point Because I don't operate your own diesel tank, I'd put fuel-card integration at the very top of your requirements. A system that only measures the truck's fuel level won't give you the complete picture. For your fleet size, I'd therefore have Geotab and MiX by Powerfleet demonstrate their systems head-to-head, with Netstar ProFleet as the South African alternative.