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Inventory Management · Manufacturing

Percept OPS

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

IndustryManufacturing
Timeline16 weeks
Result60%Fewer stockouts
01

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.

02

What we built

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.

03

What changed

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.

In numbers

60%

Fewer stockouts

3x

Faster tracking

16 wk

Delivery time

Technology

PythonDjangoPostgreSQLMachine LearningQR IntegrationDocker

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