Intelligent Freight Platform
Big Consulting Firm & Large Logistic Company
2 Scrum Teams (15 people)
8 sprints to MVP
Singapore, Germany & Thailand
Business Goals
Instant quotation and competitive rates for overland shipments through self-service platform
Proprietary rate engine uses AI to match shipper’s requirements with carrier availability eliminating manual processes
Launch starting in Thailand, followed by other countries in Asia Pacific
Challenges
Complex business rules
Intelligent rate engine to find the best rate among millions service rates to meet customer-need
To support multiple devices & platforms and maximum user experience
Team size
Product Owner in Singapore & Thailand
2 Scrum Teams (15 people) – 8 sprints to MVP
GO-LIVE
Integration team in Germany
Technical stacks
Multi tenant & white labeling service design to allow customization & localization across geo-location
Service Oriented Architect and Event Sourcing architecture to enable high availability and loose coupling services
React.JS for responsive web, and Java Springboot for backend application
Graph Database, Elastic Search and Redis Cache for Rate Engine service, which needs to calculate the best rate over millions matches among shippers & carriers
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