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Logistics / Supply Chain

From Legacy Sprawl to Real-Time Insight: Modernizing a Multi-Region Logistics Platform

A logistics company running 15-year-old systems across 8 regions replaced their legacy stack with a real-time event-driven platform. Fleet visibility improved from 15% to 94%, ETA accuracy went from 62% to 91%, and operational costs dropped 31% within 6 months.

15% → 94%
Fleet visibility
62% → 91%
ETA accuracy
-31%
Operational costs
+22 points
Customer NPS
From Legacy Sprawl to Real-Time Insight: Modernizing a Multi-Region Logistics Platform

Challenge

Each region operated independent systems with batch data updates every 4-8 hours. Fleet managers relied on phone calls for location updates, ETA predictions were guesses, and customers received estimated delivery windows spanning entire days.

Solution

Webskyne implemented an event-driven architecture with real-time telemetry ingestion, unified data platform across regions, ML-based ETA prediction, and customer-facing tracking portal with live updates.

Implementation Highlights

  • Event streaming (Kafka) from telematics devices
  • Unified data warehouse (Snowflake) across regions
  • ML model for ETA prediction (training on historical data)
  • Real-time customer tracking portal
  • Automated dispatch optimization engine

Outcomes

15% → 94%
Fleet visibility
62% → 91%
ETA accuracy
-31%
Operational costs
+22 points
Customer NPS
Tech stack
KafkaSnowflakePythonReactTensorFlowAWS
Timeline: 6 months
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