Summary:

A multi-store retail chain struggled with inventory management, customer flow optimization, and demand forecasting. The client needed an intelligent solution to automate data collection and optimize decision-making in real-time.  

What We Delivered:

• Demand Forecasting Model using machine learning

• Footfall Counting & Heatmaps using computer vision

• Shelf Monitoring System for inventory tracking

• Sentiment Analysis Dashboard from customer reviews and feedback    

  
  

Business Outcomes:

• 28% reduction in stockouts

• 15% improved customer satisfaction scores

• 12% increase in overall sales

• 18% reduced labor costs through automation

  
  

Tech Stack:

• TensorFlow

• OpenCV

• Azure Machine Learning

• Power BI

• Python