AI in Logistics: Route Optimisation and Fleet Management

Logistics Runs on Optimisation

SA logistics costs are 14% of GDP — nearly double the global average of 8%. With fuel at R 24+ per litre and N3 toll fees rising 8.5% annually, every kilometre counts. AI route optimisation is delivering R 500,000–R 2 million in annual savings for mid-sized SA fleets.

Dynamic Route Optimisation

A KwaZulu-Natal distributor running 45 delivery vehicles switched to AI-powered route planning and saw:

22% reduction in fuel costs — saving R 1.3 million/year*

18% more deliveries per shift* — from 12 to 14

31% less overtime — saving R 340,000/year* in driver pay

Routes that dynamically avoid load-shedding-affected intersections where traffic lights are dark

Fleet Management in Real Time

AI monitors 200+ data points per vehicle per minute — engine temperature, tyre pressure, braking patterns, fuel consumption. One Cape Town fleet reduced maintenance costs by 35% by catching problems before they became breakdowns. Average vehicle lifespan extended by 2.3 years.

Warehouse Automation That Pays for Itself

AI optimised bin placement and picking routes in an SA cold-chain warehouse, reducing pick times by 41%. The R 2.1 million system paid for itself in 14 months. With electricity costs rising 18% per year, the AI also optimised refrigeration schedules around load-shedding to cut power costs by 15%.

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Logistics Runs on Optimisation

Dynamic Route Optimisation

Fleet Management in Real Time

Warehouse Automation That Pays for Itself

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