AI-Powered Material Classification for Metals Manufacturing: Achieving 95% Accuracy
Explore how our AI solution enhanced material classification for a metals manufacturing company, achieving 95% accuracy and reducing sourcing costs by up to 5%. Learn about the challenges, approach, and value delivered.
Metals Manufacturing Company
Smart AI solution to improve Material classification DQ in few days and delivers 95% accuracy
Challenges
More than 30% of materials were not classified impacting sourcing, supply chain and manufacturing costs
- Increase in sourcing spend
- Excess and supplicate inventory
- Non standard parts leading to reliability issues
Approach
- Leveraged Smart AI driven solution to ingest PO and Material Descriptions.
- Leveraged AI to recommend right classifications and hierarchies
- Validated manually with 95% accuracy
Value Delivered
- Accurate classification of direct and indirect materials in 8 languages
- Up to 5% reduction in sourcing spend by consolidating vendors and materials for better pricing
- Identified opportunities to standardize parts for reliability improvements
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