PTTRNS.ai
Financials
Estimates*
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 2.9m | 3.5m | 3.6m | 3.6m |
% growth | - | 21 % | 3 % | - |
Date | Investors | Amount | Round |
---|---|---|---|
N/A | Early VC | ||
* | €2.0m | Early VC | |
Total Funding | €2.0m |
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Recent News about PTTRNS.ai
EditPttrns.ai is a startup that leverages artificial intelligence (AI) to enhance digital personalisation for fashion and eyewear companies. The company operates in the AI and fashion technology market, serving fashion and eyewear brands that are looking to improve their customer experience and increase sales conversions.
The company's primary offering is an AI-powered digital stylist and eyewear recommender. This tool helps customers find eyewear frames that best fit their facial characteristics and personal style preferences. By providing personalised advice, Pttrns.ai helps its clients reduce product returns and increase customer confidence in their purchases.
In addition to this, Pttrns.ai also offers a rendering platform that assists brands in automating the generation of photorealistic visual assets. These assets can be used for marketing or merchandising purposes, helping brands to better showcase their products and attract customers.
Pttrns.ai's business model is likely based on a subscription or service fee, where fashion and eyewear companies pay for access to the AI tools and services. The company's value proposition is its ability to provide deep customer insights without the need for third-party data storage, allowing brands to better understand and cater to their customers' preferences.
The company's AI solutions not only help brands to increase their sales conversions by up to three times, but also enable direct customer interactions and feedback, which can be used to further improve their offerings and workflows.
Keywords: Artificial Intelligence, Digital Personalisation, Fashion Technology, Eyewear Recommender, Digital Stylist, Customer Experience, Photorealistic Visual Assets, Direct Customer Interactions, Deep Customer Insights, Product Returns Reduction.