FindMine
Specializes in using machine learning to automate manual and tedious tasks in the retail industry.
| USD | 2021 | 2023 |
|---|---|---|
| Revenues | 0000 | 0000 |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
FindMine is a technology startup that specializes in automating the creation of complete product sets, such as outfits, furniture decor sets, and beauty looks, for retail brands. The company leverages predictive intelligence to help merchants and marketers generate these "complete the look" sets for up to 95% of their product catalog. This automation not only enhances the shopping experience but also drives significant incremental revenue for their clients.
FindMine primarily serves retail brands and e-commerce platforms that aim to provide a more engaging and personalized shopping experience. By automating the creation of these product sets, FindMine helps its clients increase customer engagement and boost sales. For instance, customers are more likely to make a purchase when they see a complete outfit or a fully decorated room, rather than individual items.
The market FindMine operates in is the retail and e-commerce sector, which is increasingly focusing on personalization and customer experience. With the rise of online shopping, retailers are looking for innovative ways to stand out and provide value to their customers. FindMine addresses this need by offering a scalable solution that combines quality content with extensive coverage of the product catalog.
FindMine's business model is likely based on a Software-as-a-Service (SaaS) approach, where clients subscribe to their platform to access its automation capabilities. The company makes money through subscription fees, which can vary based on the size of the client's product catalog and the level of service required.
In summary, FindMine automates the creation of complete product sets to enhance customer engagement and drive sales for retail brands. The company serves the retail and e-commerce market, offering a scalable solution that combines quality content with extensive catalog coverage.
Keywords: automation, retail, e-commerce, predictive intelligence, customer engagement, product sets, SaaS, personalization, incremental revenue, shopping experience.