TrackMove
Built a scalable, real-time logistics intelligence platform to unify shipment tracking across GPS, IoT devices, and third-party APIs enabling accurate visibility, faster decision-making, and proactive risk management.
85%
Less manual tracking
5x
Faster risk detection
Real-time
Visibility
Client Overview
Industry
Logistics & Supply Chain
Core business
Shipment tracking and visibility platform aggregating multi-source logistics data
Company type
Product-based platform
Use case
Real-time shipment tracking, delay prediction, and unified supply chain visibility
Logistics Intelligence Platform Overview
Challenges
TrackMove operates in a highly dynamic logistics environment where shipment data flows from multiple fragmented sources.
Fragmented data sources and inconsistent formats
Shipment data originated from GPS devices, IoT trackers, and external APIs each with different formats and update frequencies.
High-frequency real-time data processing
IoT trackers and maritime systems generated continuous streams of data, leading to scalability challenges.
Unreliable third-party integrations
External APIs introduced rate limits, inconsistent responses, and missing data fields impacting system reliability.
Data noise and accuracy issues
GPS inaccuracies, device failures, and redundant updates created noisy datasets reducing tracking quality.
Scalability and performance constraints
Handling real-time updates across thousands of shipments required a system that could scale without latency.
Solution
Advant AI Labs engineered a real-time, scalable logistics intelligence platform designed to unify, clean, and process shipment data efficiently.
Unified data processing architecture
Designed a centralized system to ingest, normalize, and process shipment data from multiple sources.
Real-time streaming and update handling
Implemented WebSockets and intelligent polling mechanisms to deliver live tracking updates.
Robust integration layer
Built resilient connectors for third-party platforms with retry logic, fallback mechanisms, and structured validation.
Data normalization and mapping engine
Standardized diverse data formats into a unified shipment model for accurate tracking and analytics.
Noise filtering and intelligent data storage
Applied filtering logic to remove incorrect or redundant GPS data.
Scalable background processing
Used asynchronous workers to handle high-frequency data streams efficiently.
Business Impact
TrackMove transformed fragmented, reactive shipment workflows into a unified, real-time logistics intelligence system built for scale.
Real-time shipment visibility
Enabled businesses to track shipments live across all vendors through a single unified platform.
Faster risk detection and response
Improved the ability to identify delays, disruptions, and anomalies early.
Improved data reliability and accuracy
Normalized and cleaned data pipelines ensured consistent, trustworthy tracking information.
Reduced operational overhead
Eliminated manual tracking efforts and status coordination across teams and vendors.
Scalable infrastructure for growth
The system now supports increasing shipment volumes and new integrations without performance degradation.
“"This platform gave us complete visibility into our shipments across vendors. What used to be fragmented and reactive is now real-time, reliable, and scalable."
FAQ
Frequently Asked Questions