AI route optimisation — less fuel, more deliveries, satisfied customers
Courier company with 15 vans: dispatcher planning routes on paper — and customers paying the price
Fast Parcel Ltd. operates 15 delivery vehicles in Prague and the surrounding area. Every morning at 6:00 dispatcher Pavel sits over a paper map and allocates parcels to drivers. He relies on experience and intuition — but Prague on a Monday morning is no match for intuition alone. Drivers make unnecessary detours, cover the same streets twice, and some deliveries arrive late. Customers call, Pavel explains. Fuel costs are unnecessarily high.
After deploying AI, the system processes the next day's orders every evening, taking into account current traffic conditions, customer delivery windows and priorities. By 5:30 in the morning Pavel has optimal routes for all 15 vehicles ready on his phone for approval. He just checks and confirms. Drivers take shorter routes, complete 25% more deliveries in the same time, and get home earlier.
Before and after AI
❌ Before AI
- Manual route planning on a paper map every day
- Suboptimal routes — unnecessary kilometres and wasted time
- Fuel wasted with no regard for traffic conditions
- Late deliveries and unsatisfied customers
- Driver frustration from unclear instructions
✅ After AI
- AI optimises routes every evening — ready for approval in the morning
- 18% fuel savings thanks to shorter and smarter routes
- 25% more deliveries per day with the same number of vehicles
- All parcels delivered within the agreed time window
- Happy drivers — clear instructions, shorter working day
Results in numbers
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