Ops Intelligence Layer for a Last-Mile Logistics Company
A West African third-party logistics provider built an AI ops intelligence layer that aggregates four disparate systems into a single decision surface - making dispatch 4× faster and improving driver utilisation by 31%.
4×
faster routing decisions at peak
31%
improvement in driver utilisation
28min
dispatch confirmation time (was 2hrs)
100%
audit trail on AI decisions
01The Challenge
Dispatchers were manually querying 4 separate systems - GPS tracking, inventory, customer orders, and driver schedules to make routing decisions. During peak periods this caused 2–3 hour delays in dispatch confirmation, leading to missed SLAs and customer complaints.
02The Solution
We designed an AI ops intelligence layer that aggregated data from all 4 systems in real time and surfaced recommended routing decisions in plain English. Dispatchers review and confirm rather than calculate - reducing cognitive load and decision time dramatically.
- Real-time data aggregation from 4 existing systems via custom connectors
- AI routing recommendations displayed in plain English with confidence scores
- One-click dispatcher approval with full audit logging
- Fine-tuned on 3 years of historical routing data to reduce error rate
03The Outcome
Dispatch confirmation time dropped from an average of 2 hours to 28 minutes. Driver utilisation improved by 31% due to more accurate load assignments. The company has since expanded the system to cover 3 additional depots.
“Our dispatchers went from stressed-out calculators to confident decision-makers. The AI does the heavy lifting - they just make the call.”
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