LOGISTICS
Route Optimization Agent for Fleet Ops
An agent system that re-plans delivery routes in real time against traffic and demand.
Logistics Router
Live Tracking
Hub A ➔ Hub B+28% Efficiency
18%
Lower fuel cost
25%
On-time arrival boost
ClientFleet Logistics Corp
Timeline12 Weeks
Team Size3 Engineers
CapabilityLOGISTICS
The Challenge
Static route planning causing fuel wastage and delayed deliveries.
The Approach
1
Traffic analysis
Connected live traffic maps APIs.
2
Optimization loops
Calculated route adjustments in real-time.
Outcomes & Impact
Reduced fuel usage and route duration across the active fleet.
Key Lessons Learned
✓
Vector search alone is insufficient for structured freight and customs queries; hybrid search with RRF is mandatory.
✓
Document chunking must align with layout structures (headers and tables) rather than fixed character offsets.
✓
Reranking is the highest leverage, lowest cost way to improve recall in large document sets.
"The custom search engine built by Botmartz changed how our operations team works. They recover hours every day and container routing errors have dropped to near zero."
MV
Markus Vance
VP of Operations, Global Logistics Leader
Core Technologies
LangGraphFastAPIPostgreSQLGoogle Maps
Development Team
KG
Karan Goel
AI Engineer
PB
Promit Basu
AI/ML Engineer
SS
Sanjay Singh
Lead Architect
Related Cases
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