Inventory Management

Percept OPS

Revolutionizing inventory management with an advanced machine learning engine for real-time purchasing suggestions and warehouse optimization.

Industry

Manufacturing

Timeline

16 weeks

The Challenge

The client managed complex warehouse operations with manual processes, leading to stockouts, over-ordering, and inefficient material tracking. There was no centralized system to handle raw material requisitions, supplier communications, or stock level alerts.

Our Approach

We designed an ML-powered inventory system with real-time data ingestion from warehouse sensors and QR-based material tracking. We built automated purchasing suggestion algorithms, a supplier communication portal, and a comprehensive alert system for stock levels.

The Solution

Percept OPS redefines inventory management with an advanced machine learning engine, providing real-time purchasing suggestions and optimization for warehouse operations. The system filters and retrieves product data swiftly, manages raw material status, tracks extractions via QR codes, and facilitates direct supplier communication with a dynamic dashboard.