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Logistics & Supply ChainAI Solutions
AI-driven supply chain planning and real-time replenishment
ETHX optimised supply chain operations on Oracle Supply Chain Planning Cloud and Demand Management Cloud — improving forecasting accuracy with AI-driven predictive analytics and automating real-time replenishment and inventory tracking on Oracle Inventory Cloud.
Client
Global logistics & distribution provider
Duration
16 weeks
forecast accuracy
+25%
Modules
4
Client benefits
+25%
forecast accuracy
Auto
replenishment & safety stock
Real-time
inventory tracking
↓
stockouts & excess stock
* Global logistics & distribution provider — client anonymised at their request
The Challenge
- Forecasting leaned on history and spreadsheets, missing demand shifts
- Replenishment and inventory tracking were manual and lagged real demand
- Demand–supply balancing lacked a statistical, repeatable model
- Limited visibility into supply chain performance for planners
Our Approach
- Deployed Oracle Supply Chain Planning Cloud and Demand Management Cloud
- Improved forecasting accuracy with AI-driven predictive analytics
- Automated real-time replenishment and inventory tracking on Oracle Inventory Cloud
- Balanced demand and supply with statistical safety-stock modelling and custom material-planning algorithms
- Surfaced performance through Oracle Analytics Cloud dashboards
The Outcome
- Materially higher forecast accuracy from AI-driven demand sensing
- Automated replenishment cut stockouts and excess inventory
- Real-time inventory tracking replaced periodic manual counts
- Planners work from live dashboards, not stale reports
Tech stack
Oracle Supply Chain Planning CloudOracle Demand Management CloudOracle Inventory CloudOracle Analytics Cloud (OACS)Custom material-planning algorithms
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