AI-Powered Logistics Platform
Real-Time Shipment Tracking & AI Route Optimization
10,000+ shipments a day, tracked in real time — with AI routing cutting fuel costs by 25%.
Who We Built This For
SwiftLogix is a logistics company in Singapore handling 10,000+ shipments daily across its delivery network. Without real-time tracking infrastructure, the company had no visibility into shipment status mid-transit, resulting in 30% of deliveries missing their service-level agreement (SLA) windows.
What We Set Out to Build
SwiftLogix needed real-time visibility into every shipment moving through its network — from the moment a package left the warehouse to the moment it reached the customer's door. Without this visibility, both the company and its customers were operating blind, only finding out about delays after they had already happened.
The platform tracks every shipment via GPS in real time, feeding location data into an AI route optimization engine that continuously recalculates the most efficient delivery paths based on traffic, distance, and delivery priority. Drivers use a dedicated Flutter app for turn-by-turn navigation, delivery confirmation, and proof-of-delivery capture, while the AI engine reroutes dynamically as conditions change throughout the day.
Customers get their own tracking portal showing real-time shipment location and estimated arrival, backed by automated SMS alerts at key milestones — dispatched, in transit, out for delivery, delivered. This closed the visibility gap on both sides of the delivery: SwiftLogix could now proactively manage SLA risk before it became a miss, and customers no longer needed to call in asking "where is my package."
Project Facts
Tech Stack
What Needed to Be Solved
SwiftLogix was handling 10,000+ shipments daily with no real-time tracking system, resulting in 30% of deliveries missing their SLA windows. The company needed full shipment visibility and smarter routing to both reduce missed deliveries and cut the rising fuel costs of inefficient delivery routes.
No real-time shipment tracking existed, meaning delays were only discovered after they had already caused an SLA miss
30% of deliveries missed their SLA windows, damaging customer trust and triggering contractual penalties with enterprise clients
Delivery routes were planned manually without considering real-time traffic or dynamic priority changes, leading to inefficient fuel usage
Drivers had no centralised app for navigation, delivery confirmation, and proof-of-delivery capture, relying on fragmented tools
Customers had no way to track their shipment's real-time location, generating high volumes of "where is my package" support inquiries
Operations teams had no system-wide view of shipment status across the full 10,000+ daily volume to proactively manage SLA risk
Inside the Platform
Every module is purpose-built to replace a standalone tool — unified in one workspace.
- Live location tracking for every shipment
- 10,000+ daily shipments monitored
- Geofenced milestone detection
- Exception & delay alerting
- Historical route playback
- Dynamic route recalculation
- Traffic-aware path planning
- Priority-based delivery sequencing
- 25% fuel cost reduction
- Multi-stop route efficiency scoring
- Turn-by-turn navigation
- Delivery confirmation & proof capture
- Dynamic re-routing notifications
- Daily route & manifest view
- In-app communication with dispatch
- Real-time shipment location view
- Estimated arrival time updates
- Automated SMS milestone alerts
- Delivery history per customer
- Self-serve delivery rescheduling
Everything in One Workspace
Live GPS Tracking
Every one of 10,000+ daily shipments is tracked in real time, giving full visibility into location and status at every stage.
AI Route Optimization
Continuously recalculates delivery routes based on traffic and priority, cutting fuel costs by 25% versus manual route planning.
Driver Navigation App
A Flutter app giving drivers turn-by-turn navigation, delivery confirmation, and proof-of-delivery capture in one tool.
Customer Tracking Portal
Customers can see their shipment's real-time location and estimated arrival without needing to contact support.
Automated SMS Alerts
Customers receive automatic SMS updates at key delivery milestones — dispatched, in transit, out for delivery, delivered.
SLA Risk Management
Operations teams get proactive visibility into shipments at risk of missing SLA windows, enabling intervention before a miss occurs.
Fleet Performance Analytics
Dashboards tracking delivery performance, fuel efficiency, and SLA compliance across the entire 10,000+ shipment daily volume.
Dynamic Re-Routing
Routes adjust automatically throughout the day as new orders, traffic conditions, or delays emerge — keeping drivers on the optimal path.
How We Built It
Tracking Infrastructure & Data Pipeline
Built the real-time GPS tracking infrastructure on MongoDB, capable of ingesting and processing location data for 10,000+ daily shipments.
AI Route Optimization Engine
Developed the AI routing engine that recalculates delivery paths dynamically based on traffic, distance, and delivery priority.
Driver App Development
Built the Flutter driver app with turn-by-turn navigation, delivery confirmation, proof-of-delivery capture, and dispatch communication.
Customer Portal & SMS Alerts
Built the customer-facing tracking portal and integrated automated SMS alerting at key shipment milestones.
Rollout & SLA Performance Tuning
Rolled out the platform across the full delivery network, then tuned routing and alerting based on live SLA performance data to cut missed deliveries by 40%.
Full Scope of Work
Built a real-time GPS tracking infrastructure handling 10,000+ daily shipments on MongoDB
Developed an AI route optimization engine recalculating delivery paths based on live traffic and priority
Built a Flutter driver app with navigation, delivery confirmation, and proof-of-delivery capture
Developed a customer-facing tracking portal showing real-time shipment location and ETA
Integrated automated SMS alerts at key delivery milestones to reduce support inquiry volume
Built SLA risk management tooling giving operations teams proactive visibility into at-risk shipments
Developed fleet performance analytics tracking delivery, fuel efficiency, and SLA compliance metrics
Architected the platform on Next.js, Node.js, and AWS for scale across the full shipment network
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