Empowering AI Solutions. Driving ROI. Elevating Success.
EXAMPLE AI USE CASES FOR SUPPLY CHAIN LEADERS
Demand Forecasting
Supplier Risk Management
Inventory Optimisation
Description: Predict product demand to optimize inventory levels.
Typical ROI: 20% reduction in stockouts.
Best AI Model: Time Series Analysis
Data Types: Sales data, inventory levels, market trends, economic indicators.
Inventory Optimisation
Supplier Risk Management
Inventory Optimisation
Description: Manage inventory levels efficiently with AI-driven insights.
Typical ROI: 15% reduction in inventory holding costs.
Best AI Model: Linear Programming
Data Types: Inventory data, sales forecasts, supply chain data, demand variability.
Supplier Risk Management
Supplier Risk Management
Supplier Risk Management
Description: Assess and manage risks in the supplier network.
Typical ROI: 20% reduction in supply chain disruptions.
Best AI Model: Logistic Regression
Data Types: Supplier data, risk assessments, historical performance, geopolitical data.
Route Optimisation
Predictive Maintenance
Supplier Risk Management
Description: Optimise logistics and delivery routes with AI.
Typical ROI: 25% reduction in transportation costs.
Best AI Model: Reinforcement Learning
Data Types: Route data, delivery schedules, traffic data, fuel consumption.
Predictive Maintenance
Predictive Maintenance
Predictive Maintenance
Description: Prevent equipment failures with AI-driven maintenance schedules.
Typical ROI: 30% reduction in downtime.
Best AI Model: RNN
Data Types: Machine sensor data, maintenance logs, operational data, environmental data.
Quality Control
Predictive Maintenance
Predictive Maintenance
Description: Automate quality inspections using AI vision systems.
Typical ROI: 15% reduction in product defects.
Best AI Model: Convolutional Neural Networks (CNNs)
Data Types: Product images, defect logs, sensor data, manufacturing process data.