AI & Data use cases: Operations & Supply Chain
In the Operations & Supply Chain category, we cover 5 outcome-driven use cases. Most deliver visible impact within 6+ months, with an average complexity of 3/5 and ROI around 4/5. These cases are designed for organizations starting at 250+ (SME), with concrete deliverables that speed up decision-making. Each case explains the problem, the trajectory, and the tangible outputs.
Category summary
Number of cases
5
Average horizon
6+ months
Average complexity
3/5
Recommended size
250+ (SME)
Use cases
Operations & Supply Chain
Demand forecasting
Forecast order volumes by product/SKU to optimize inventory and supply.
-20% stockout reduction
View case →Operations & Supply Chain
Predictive maintenance
Predict equipment failures before they happen using sensor data.
-40% unplanned downtime reduction
View case →Operations & Supply Chain
Route optimization
Compute optimal delivery routes given multiple constraints.
-15% route cost reduction
View case →Operations & Supply Chain
Process mining digital twin
Reconstruct and optimize real business processes from system logs.
-20% cycle time reduction
View case →Operations & Supply Chain
Computer vision quality control
Automatically detect manufacturing defects on production lines using cameras and deep learning.
95% defect detection rate
View case →