Case Study: MSJ accelerates RFP processing with Dreamix's AI-powered solution

MSJ cuts RFP processing time by 95% with Dreamix

MSJ, a leading US-based ship supply company, faced a significant challenge in responding to Requests for Proposals (RFPs) from vessels. Their manual process of matching RFP items against their 9,000+ product inventory was slow, taking 1.5-2 hours per RFP, which risked losing business in their fast-paced industry where the first responder often wins the contract. They partnered with Dreamix to develop an AI-powered solution to address this bottleneck.

Dreamix implemented an AI solution using a machine learning model that creates semantic vector embeddings to intelligently match RFP items to inventory products, understanding meaning beyond just text. This system, which includes a human-in-the-loop for review, cut processing time from hours to just 3-5 minutes, a 95% reduction. The Dreamix solution also achieved over 95% matching accuracy and is self-improving, learning from every correction and allowing MSJ's team to focus on more strategic work.

MSJ