
Presize.ai
Provides the most accurate body measurements app from a smartphone video with patented AI-algorithm or body shape questions.
Date | Investors | Amount | Round |
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- | investor investor investor investor investor investor investor investor | €0.0 | round |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |










USD | 2020 | 2021 | 2022 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
Presize.ai is a cutting-edge startup revolutionizing the online fashion retail market by providing highly accurate clothing size recommendations. The company addresses a significant pain point in the e-commerce fashion industry: high return rates due to incorrect sizing. With only 2% of online fashion shoppers making purchases and up to 50% of those purchases being returned, Presize.ai offers a solution that can increase a shop's net revenue by 10% and decrease return rates, thereby improving customer trust and satisfaction.
Presize.ai serves online fashion retailers and brands, offering them a technology-driven solution to enhance their customers' shopping experience. The company's primary product is a size recommendation tool that uses a quick video scan or body shape questions to determine the most accurate clothing size for each user. This approach has proven to be 17% more effective than traditional questionnaire-based methods, which often rely on subjective self-reported data.
The business model of Presize.ai is likely based on a subscription or licensing fee paid by partner shops and supported brands. These clients benefit from reduced return rates and increased customer satisfaction, which in turn boosts their revenue. Presize.ai also leverages transactional data, such as return reasons and user behavior, to continuously improve its size recommendation algorithm. This data-driven approach ensures that the recommendations become more accurate over time, benefiting both retailers and consumers.
In summary, Presize.ai operates in the online fashion retail market, serving e-commerce shops and fashion brands. It makes money through subscription or licensing fees and aims to reduce return rates and increase customer satisfaction through its innovative size recommendation technology.
Keywords: size recommendation, online fashion, e-commerce, video scan, body measurements, reduce returns, increase revenue, customer trust, data-driven, algorithm.