Objectives
- Launch a new ML/NLP feature to secure new customers — an intelligent quoting engine to automate RFQ matching
Key Results
- Developed ML/NLP feature increasing speed to quote by 60%
ML-powered RFQ matching engine implementation.
Client
Metal Networks Inc.
Date
Apr 2015 - Jun 2016
Services
AI Integration
Role
Head of Product
Website
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