Ensuring Inventory Integrity with AI-Driven Duplicate Detection
Client Overview
A global petro-chemical company seeking to streamline its spare parts addition process and prevent inventory bloat.
Business Challenge
The client was facing issues with a continuous influx of duplicate parts due to decentralized procurement and lack of standardized part classification.
Solution Impact
Minimized inventory write-offs.
Enhanced maintenance and repair cost savings.
Improved overall inventory management efficiency.
Reduction in unnecessary procurement of duplicate parts.
Decreased time spent on manual duplicate checking processes.
Improved data quality in the inventory management system.
Reduced risk of stockouts due to misclassified parts.
Our Approach
Implemented an AI-powered gatekeeper system for new part additions
Developed a machine learning model to cross-reference new parts with existing inventory
Created an automated workflow for part validation and classification
Genesis AI drives innovation in manufacturing with AI and machine learning, optimizing processes and boosting productivity across industries like chemical, petrochemical, and automotive.
