Logistics Streaming
A real-time data platform for 2,400 vehicles
Moving from hourly position updates to a streaming pipeline with sub-30-second latency — fast enough for dispatch to intervene before a delivery runs late.
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Logistics & Supply Chain
An industry where every percent of distance saved goes straight to margin. BigAI focuses on real-time data and optimisation problems.
Context
Data challenges specific to this industry
The barriers BigAI encounters repeatedly across companies in this sector.
Real-time data first, optimisation second
You cannot optimise routes without knowing where the vehicles are. Logistics projects therefore start with the real-time data layer, and only then move to routing algorithms.
Nobody knows where the freight is
Slow position updates leave dispatchers reactive and delivery windows unreliable.
Routes planned by hand
Dispatchers build routes from experience without live traffic conditions.
Applications
Problem → Solution → Measurable benefit
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| Business problem | BigAI solution | Measurable benefit |
|---|---|---|
| Reactive dispatch from stale data<br><span class="small muted">Hourly position updates</span> | Streaming platform tracking vehicle position and order status | 30 sec tracking latency |
| Excess distance driven<br><span class="small muted">Manual route planning</span> | Routing algorithm combined with live traffic data | −19% distance driven |
Case studies
Projects in this industry
Compliance
Designed to clear the approval process
Peak-season capacity
Infrastructure scales for year-end peaks without paying peak cost year-round.