The Challenge

A retail chain operating dozens of branches was bleeding revenue from persistent stockouts on fast-moving items while tying up capital in excess inventory of slow movers. With massive multi-year sales data covering thousands of SKUs across every branch, the team had no systematic way to anticipate demand shifts at each branch. Replenishment was based on seller intuition and historical averages, leading to chronic imbalances. Leadership needed a scientific approach to forecasting that could account for seasonality, branch-level variation, and supply lead times.

Our Approach

Processed and explored the massive multi-year sales dataset across all branches to prepare it for modeling
Implemented ABC classification system at branch and SKU levels
Segmented the full inventory with custom ML models, classifying SKUs by demand behavior and stockout risk at branch level
Developed branch-specific demand forecasting models using regression analysis
Created safety stock optimization framework with service level targets
Established automated reorder point calculations based on lead time analysis
Designed inventory performance dashboard for ongoing monitoring

Analytical Methods Used

Time Series Analysis

ABC Classification

Custom ML Inventory Segmentation

Linear Regression Forecasting

Safety Stock Optimization

Service Level Modeling (CSL)

Lead Time Analysis

Economic Order Quantity (EOQ)

Tools Used

SCOPT AI

Key Outcomes & Results

Improved forecast accuracy with custom ML models trained on the massive multi-branch sales data
Reduced stockout frequency while better managing inventory levels
Improved inventory turnover across branches through better demand visibility
Optimized working capital with data-driven holding cost management
Established repeatable forecasting process for ongoing operations

Cosmetics AI Inventory Policy Consultation

The Challenge

Our Approach

Analytical Methods Used

Tools Used

Key Outcomes & Results

Achieve Similar Results for Your Business

Are You Ready to Transform Your Supply Chain?

The Challenge

Our Approach

Analytical Methods Used

Tools Used

Key Outcomes & Results

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AI Supply Chain Optimization for FMCG Manufacturer

Achieve Similar Results for Your Business

Are You Ready to Transform Your Supply Chain?