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Experience AI-Driven Replenishment Planning

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

Week-1
Kick-Off
  • Demo the Solution
  • Scope Finalization
  • Share Data Extraction Templates
Week-2
Set Up
  • Receive Data
  • Identify and Report Gaps
  • Data Completeness Check
Week-3
Exploratory Data Analysis
  • Analysis of Sales and Inventory Data
  • Feature Engineering
Week-4
Order Plan Generation
  • Optimized Replenishment Plans for 13 Weeks
  • Perform Evaluation Against Actual Data
  • Identify Requirements for Iteration 2 of Plan Generation
Week-5
Benefit Assessment
  • Benefit Assessment and Pilot Conclusion Presentation

Ready to Transform Your Replenishment?

Get started with your trial

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