A real-time supply chain visibility platform with AI route optimization that reduced delivery times by 28% and provided end-to-end shipment tracking across 14 countries.
The Challenge
LogiTrack's dispatchers relied on phone calls and emails to track shipments, with status updates often delayed by 4-8 hours. Route planning was done manually using static maps, ignoring real-time traffic, weather, and road conditions. Customers called an average of 3.2 times per shipment asking for status updates, overwhelming the support team. Late deliveries averaged 23% of all shipments, resulting in $1.8M in annual penalty fees from key accounts.
- No real-time shipment visibility — status updates delayed by 4-8 hours
- Manual route planning ignoring real-time conditions resulting in 23% late delivery rate
- 3.2 support calls per shipment for status inquiries consuming 40% of support team bandwidth
- $1.8M in annual late-delivery penalty fees from enterprise clients
- No predictive capabilities to proactively manage delays or exceptions
Our Solution
Advenno built a real-time supply chain platform with GPS tracking for all vehicles and shipments, an AI route optimization engine that considers traffic, weather, fuel costs, and delivery windows, predictive ETA calculations with automated exception alerts, and a self-service customer portal that provides real-time visibility and eliminates status inquiry calls.
- Real-time GPS tracking across owned fleet and 85 third-party carriers via API integrations
- AI route optimization reducing fuel costs and delivery times by analyzing real-time and historical conditions
- Predictive ETA engine with 95% accuracy and proactive delay notifications to customers
- Customer self-service tracking portal with live maps, document access, and proof of delivery
- Automated exception management that detects and escalates anomalies before they become problems
Our Approach
Logistics Process Mapping
Mapped the end-to-end shipment lifecycle across all modes (road, rail, sea, air) and documented the information flow gaps that caused visibility blind spots.
Carrier Integration Framework
Built a flexible integration framework to connect with 85 third-party carriers via API, EDI, and GPS device feeds, normalizing disparate data formats into a unified tracking standard.
Route Optimization AI
Developed the route optimization engine using reinforcement learning trained on 2 years of delivery data, real-time traffic APIs, weather data, and fuel price feeds.
Tracking Portal & Notifications
Built the customer-facing portal with real-time map visualization, milestone tracking, document management, and configurable multi-channel notifications.
Fleet Rollout & Training
Equipped all 340 vehicles with GPS trackers, trained dispatchers and drivers on the new system, and onboarded key customers to the self-service portal.
The Results
Delivery times decreased by 28% through AI route optimization, and on-time delivery rates improved from 77% to 96.3%. Customer support calls for status inquiries dropped by 82% as customers used the self-service portal. Late-delivery penalty fees decreased from $1.8M to $310K annually. The predictive ETA engine achieved 95% accuracy, allowing LogiTrack to proactively manage exceptions before customers were affected.
Technologies Used
We went from calling drivers to ask where they were to having our AI tell us exactly when every shipment will arrive — and alerting us proactively when something goes wrong. Our customers now trust us with their most time-sensitive freight.