Store & Retail

AI-Driven Inventory Optimization for Retail

Services: Artificial Intelligence, Data Analytics

Challenge

Curve Health was operating on multiple cloud platforms, struggling with fragmented infrastructure. This created challenges around HIPAA compliance, security, scalability, and migration readiness. They needed to consolidate onto AWS to streamline operations, enhance security, and optimize their cloud environment for better performance.

Client Overview

A technology solutions provider specializing in enhancing operational efficiency for retail environments.

Challenge

The client needed to optimize inventory management to reduce capital tied up in low-return investments and improve operations at their distribution centers without expanding their physical footprint.

Solution

Developed a robust, data-driven inventory optimization system that leverages advanced AI and analytics:

Inventory Optimization: Implemented algorithms to minimize capital in low ROI inventory and maximize space utilization.
Advanced Analytics Platform: Utilized Python and Flask for backend integration, with algorithms powered by Gurobi and NumPy for precision.
User Interface Improvements: Created a user-friendly interface with ReactJS, enabling easier interaction and real-time inventory tracking.

Impact

Increased Efficiency: Significantly enhanced the efficiency of inventory management, reducing unnecessary stock levels and improving turnover.
Cost Savings: Lowered operational costs by optimizing inventory distribution and reducing the need for additional real estate.
Enhanced Profitability: Improved overall profitability through better capital allocation and operational streamlining.