All Case Studies
Logistics Automation Supply Chain

Process Automation for Third-Party Logistics Provider

Automating end-to-end logistics workflows, reducing manual processing by 85% and achieving real-time visibility across the supply chain.

Industry Logistics
Timeline 8 Months
Team Size 11 Engineers

The Challenge

A third-party logistics (3PL) provider managing warehousing and distribution for multiple retail and e-commerce clients was struggling with operational efficiency. Their processes were heavily manual, relying on spreadsheets, emails, and phone calls to coordinate shipments and track inventory.

The lack of automation led to errors, delays, and poor visibility for their clients. As their business grew, the manual processes couldn't scale, and they were at risk of losing major accounts due to service quality issues.

  • 80% of operational processes still manual
  • Average order processing time of 45 minutes
  • 3% error rate in shipments causing costly returns
  • No real-time visibility for clients on shipment status
  • Separate systems for each warehouse location

Our Solution

We designed and built an integrated automation platform that connects all aspects of their logistics operations. The platform includes automated order processing, intelligent inventory management, real-time tracking, and customer self-service portals.

The solution uses event-driven architecture to trigger automated workflows as shipments move through the supply chain. Machine learning models optimize routing decisions and predict potential delays before they impact customers.

  • Unified warehouse management system across all locations
  • Automated order processing with carrier selection
  • Real-time shipment tracking and customer notifications
  • AI-powered demand forecasting and inventory optimization
  • Self-service client portal with reporting and analytics
  • Integration with major e-commerce platforms and carriers
Apache Kafka Node.js PostgreSQL Redis React AWS

Implementation Approach

We implemented the platform incrementally, starting with the highest-impact workflows and progressively automating more processes. Each phase delivered measurable value while building toward the complete vision.

  • Phase 1: Core platform and order processing automation
  • Phase 2: Real-time tracking and notifications
  • Phase 3: Inventory management and warehouse integration
  • Phase 4: Client portal and self-service analytics
  • Phase 5: AI optimization and predictive capabilities

Results & Outcomes

Transforming logistics operations through intelligent automation

85%
Reduction in Manual Processing
92%
Faster Order Processing
0.3%
Shipment Error Rate
Real-Time
Visibility for Clients

Ready to Automate Your Operations?

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