End-to-end inventory planning
Using Demand Sensing and AI Optimization to predict your customer demand across your supply chain, better anticipate inventory requirements and plan your end-to-end replenishment and allocation to optimize your supply.
Automatic Optimization
Create a competitive advantage by using Machine Learning Optimization to automatically optimize your Replenishment Parameters, including Service Levels, Min/Maxs and other approaches. Allowing you to automatically increase your Inventory availability while minimizing inventory holdings
Scenario Planning
Test different Replenishment Strategies in the Optimization Assistant. From small changes to your Days Cover, to comparing DDMRP vs Min/Max Systems, you can test anything you want.
Deploy Changes immediately
Once you found Optimal Settings in the Digital Twin, you can deploy them to the Real World at the Click of a Button
Accelerate your Inventory rebalancing
Quickly identify possible supply and demand imbalances and see suggested actions to rebalance your Inventory
Digital Twin
When you connect your data to Remi AI, it automatically generates a User-Friendly Digital Twin, allowing you to safely test different strategies and ideas in a safe environment.
Automatic Optimization
When you connect your data to Remi AI, it automatically generates a User-Friendly Digital Twin, allowing you to safely test different strategies and ideas in a safe environment.
Optimization Assistant
The Optimization Assistant allows you to quickly and easily find the best Replenishment approach to ensure you meet your Business Goals. You decide whether you're trying to maximise Fill Rate or Reduce Stock Held, and the Assistant will find the best parameters for you.
Deploy to the Real-World
After you’ve identified optimal parameters for your Replenishment Planning in the Digital Twin, you can deploy these new Parameters to your Replenishment Engine to guide you real-time recommendations.
CPG Manufacturer
Remi AI's Inventory Planning tool delivering an 8% reduction in Inventory Held
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