Dressipi
A SaaS solution helps apparel retailers give each customer their own tailored shopping experience.
| USD | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 4 % | 28 % | 22 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Dressipi operates in the fashion retail sector, providing an AI-driven personalization platform designed to enhance product discovery and increase revenue growth for fashion retailers. The company's core service involves automatically tagging products with detailed attributes, enabling retailers to show each visitor the items they are most likely to buy and keep. This level of personalization aims to optimize customer loyalty and profitability. Dressipi serves fashion retailers who seek to improve their online shopping experience and drive sales through advanced data analytics and machine learning technologies.
The business model is primarily B2B (business-to-business), where Dressipi partners with fashion retailers to integrate its technology into their ecommerce platforms. Revenue is generated through subscription fees or service contracts with these retail partners. Dressipi ensures data privacy and security, maintaining transparency about data collection and usage, and does not share personal data with third-party advertisers or ad networks.
Keywords: AI-driven, personalization, fashion retail, product discovery, revenue growth, data analytics, machine learning, ecommerce, customer loyalty, data privacy.