Nexus Global Logistics
Smarter Inventory Across 180 Distribution Centres
One of the world's largest logistics operators deployed AI forecasting that cut inventory holding costs by 23 percent while improving fulfilment rates.
Inventory cost reduction
Order fulfilment rate
First year savings
Forecast update frequency, down from 90 days
What they were dealing with.
Nexus was making inventory decisions based on data that was 90 days old. They had 180 distribution centres and 3,400 clients. Overstock and stockouts were costing them $180 million a year.
What we built.
We built a demand intelligence platform that pulls in over 240 signals including weather, economic data and client order history and updates inventory recommendations every four hours. Distribution managers see what they need to order before they run out.
Discovery
Weeks 1 to 4
Deep dive into existing systems, data landscape and requirements. Full architecture blueprint produced.
Build
Weeks 5 onwards
Phased development with regular reviews. Continuous integration and stakeholder sign-off at each milestone.
Launch
Final phase
Production deployment, training and an active optimisation period to tune performance against agreed KPIs.
The results.
Inventory cost reduction
Order fulfilment rate
First year savings
Forecast update frequency, down from 90 days