LOGISTICS

Graph technology has been transformative in the logistics industry. From graph-native offerings by Blue Yonder, to graph embedded analytics throughout the shipping, trucking, and last mile industries, graph enabled technology and graph-powered AI is now the dominant modality for delivering software that meets the world's challenges today.

USE CASES

Freight Planning and Route Optimisation: Kill Those Empty Miles

We helped a major US provider of road freight to plan their week-by-week driver, truck and distribution fleets to optimise profit, maximise driver satisfaction, and minimise empty miles, achieving a reduction in dead-head from 19% to under 8% - far below industry norms.

Key features:

Live telemetry on-screen
Real-time re-planning
Driver preferences fully incorporated
Home-times, repowers and trailer swaps
Pallet planning

Key software architecture elements:

Geotab
Azure native event management
Graph Database
Low-code UI

Single View of Customer: Name and Address Resolution for Last-Mile Logistics

We assisted one of the largest last-mile providers in the UK with an implementation of Tilores - the worlds fastest and most scalable entity resolution software - to resolve substantial issues with their single-view-of-customer data and customer experience.

Key features:

100 million+ transactions per month
Over 96% matching rate on name and address
Full integration with existing CRM, marketing and customer services systems

Key software architecture elements:

AWS cloud
Tilores entity resolution
Agentic chat-bot