Trial Program Goals
The trial would encompass the successful accomplishment of the following goals.
Assessment of the data landscape and readiness for algorithmic replenishment
Hands-on and end-to-end product experience
Evaluating product impact on key metrics
Expected Outcomes
Up to 60% 
Reduction in
Out-of-stock Instances
20% 
Reduction in
Inventory Investments
Trial Scope & Duration
Improving demand forecasting and replenishment accuracy across

3 Product Categories

3 Stores

5 Weeks
Measuring Trial Success
The evaluation follows a backtesting approach. The Order Right model is trained on historical data, excluding the most recent month. It then generates forecasts for that excluded month, which are compared against the actual results from the same period.
To assess the model’s effectiveness, performance will be measured both with and without Order Right across the following three parameters:

Forecast Accuracy

Average Closing Stock

Out‑of‑Stock Reduction
Data and Support Needed for the Trial
Forecasting data in the prescribed format
Inventory and Replenishment parameters in the prescribed format
2 hours per week for midpoint validations, clarifications, and feedback
Trial Roadmap

Kick-Off
- Demo the Solution
- Scope Finalization
- Share Data Extraction Templates

Set Up
- Receive Data
- Identify and Report Gaps
- Data Completeness Check

Exploratory Data Analysis
- Analysis of Sales and Inventory Data
- Feature Engineering

Order Plan Generation
- Optimized Replenishment Plans for 13 Weeks
- Perform Evaluation Against Actual Data
- Identify Requirements for Iteration 2 of Plan Generation

Benefit Assessment
- Benefit Assessment and Pilot Conclusion Presentation