About
The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
Challenge, approach, and impact
Manual processing of unstructured text data
The client worked with large volumes of unstructured text data that required manual review and classification. Identifying names, locations, and domain-specific entities across documents was time-consuming and error-prone. The lack of automated entity extraction made it difficult to consistently structure text data, slowed down downstream analytics, and increased reliance on manual effort for information retrieval and data preparation.
How we built
Testimonials
Brian Bowman
Carsoup
“Technically proficient and solution-oriented.“
Team structure
Client team
Brian Bowman
President
Project stakeholder
The client stakeholders at Carsoup were working closely with the team at Dataforest
Agency team
2 x Machine Learning Engineer
Production
2 x Data Engineer
Production
1 x Product Manager
Production
