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Predicive Inventory Planner

Predictive Inventory Planner – Smarter Inventory Decisions with AI Forecasting

This project involved designing a Power BI dashboard that uses advanced forecasting models to help businesses predict inventory needs, prevent stockouts, and optimize purchasing.

The client needed a forward-looking analytics tool that goes beyond basic reporting and gives managers actionable recommendations backed by data and AI insights.

The Predictive Inventory Planner brings historical sales, inventory levels, vendor lead times, and AI-generated forecasts together in a single interface to support smarter operational decisions.

The Challange

The client relied heavily on manual forecasting based on spreadsheets and experience. Their team struggled with inconsistent predictions, delayed ordering, and difficulty planning around seasonal variations.

There was no central system showing demand trends, stockout risk, or future inventory coverage.

They needed a dashboard that could highlight risks early, show predicted demand clearly, and guide purchasing teams with data-backed recommendations.

The Approach

A clean, actionable layout showing current stock, predicted demand, days of supply, and stockout probability, AI-powered forecasting visuals that compare historical trends with projected demand, and a what-if scenario tool to simulate safety stock changes and see instant impact.

Results

The new dashboard significantly improved inventory visibility and operational clarity for the client.
Managers now have:

  • Earlier visibility into stockout risks

  • More accurate purchase quantities driven by AI forecasting

  • Better planning around vendor lead times

  • Faster decision-making with clear, SKU-specific recommendations

  • Confidence for managers during seasonal and high-variation demand periods

The tool has become a key part of weekly replenishment meetings and long-term forecasting sessions.

Project Details

Client: IndiaBaazr Super Market
Role: Consultant, BI Developer & Designer
Tech Stack: Power BI, DAX, SQL, NetSuite PoS
Duration: 4 Weeks
Year: 2025