Data Analytics & Report Generation for Stock Maintenance

Background:

A company aimed to leverage AI/ML-powered analytics for enhanced sales forecasting and inventory optimization. The goal was to provide real-time, intelligent insights to top management while automating stock management across plants and depots.

Solution:

• AI/ML-Driven Sales Analytics:

       1. Predictive Modeling: AI algorithms forecast sales trends based on historical data.

       2. Anomaly Detection: ML models identify outliers in sales performance.

       3. Automated Insights: AI-powered dashboards offer recommendations.

       4. Smart Inventory Management:

• Stock Optimization: ML-driven reorder level suggestions.

      1. Automated File Processing: AI extracts and processes stock data.

      2. Demand Forecasting: Predictive analytics optimize inventory levels.

Results:

• 30% Improvement in Forecast Accuracy
• Optimized Stock Levels & Reduced Wastage
• Automated Decision-Making with AI Recommendations

Conclusion:

The AI/ML-powered platform provided actionable insights, enhancing sales performance and data-driven inventory control for improved efficiency.

Client: FMCG Company, India

Technology Used