Heuritech was created in 2013 by two PhDs in Machine Learning. We are a French company with international clients and an experienced team that includes experts in AI, programming, data and fashion. Heuritech provides a sell-through optimisation solution to fashion and sportswear businesses by forecasting market demand through consumer data. Learn more about Heuritech’s story.
At Heuritech, we forecast market demand through consumer data. We apply our computer vision algorithms specialised in fashion on big data panels representative of each market, to quantify what people wear worldwide & anticipate market shifts. Our main goal is to help fashion and sportswear companies produce only what people want & reduce the amount of unsold products. Leading to increased sell-through, better profitability & greater brand relevance. Discover our AI-Powered Trend Forecasting platform.
We serve the world’s biggest sportswear, luxury & mass market brands such as Adidas, New Balance, Dior, Prada, Moncler. Additionally, we work with retailers such as Chalhoub and most recently with manufacturers.
In our AI platform, designers, merchandisers, buyers, data teams and designers can access images, analyses, and forecasts on the market to improve and facilitate decision-making.
Heuritech empowers fashion and sportswear businesses with AI-driven insights to optimize product launches, sell-through, refine marketing strategies and make fashion companies more sustainable. In essence, Heuritech provides a comprehensive solution for navigating market dynamics.You will find more here.
Artificial Intelligence is a field of computer science that focuses on developing intelligent systems capable of performing tasks that typically require human intelligence. The specific domain we focus on is deep learning and we have been perfecting and training our algorithms since 2015. To learn more about AI, you can have a look at our Artificial Intelligence dictionary for beginners on our blog.
Artificial Intelligenceenables us to extract information from images or videos to forecast market demand. We utilise computer vision algorithms to analyse visual data and recognise fashion product attributes. We then use predictive models that forecast market demand, future trends, and behaviour by analysing historical data. If you want dig deeper, here is an article on how we forecast market demand thanks to AI.
Yes! Research has been at the heart of Heuritech since its creation in 2013 as its 2 founders hold a PhD in Machine Learning. We also have a talented tech team that consists of highly skilled professionals, including eight PhDs specialising in Artificial Intelligence. If you to know more about our technology you can read our research projects and papers.
Heuritech has an extensive geographical coverage that includes Europe, France, the United Kingdom, the US, the Middle East, China, India, South Korea, Japan, Brazil and South East Asia. We are always working to add some new locations and we can adapt according to our clients needs. Do you want Heuritech to cover new locations? Don’t hesitate to contact our sales team.
Yes, our Account Management team is there to answer all of your questions or demands. They can provide you with exclusive reports or insights and train your team on our product and on how to leverage our data.
Our platform pricing is based on what you want to access. Prices start at a few thousand euros per month. Find out more on our pricing page. To discover your pricing plan, you can also contact our sales team.
Heuritech tracks three core social media sources: Instagram (with 3Bn+ active users), Little Red Book, also known as Xiaohongshu (300+ million monthly active users, the leading platform for fashion discovery in China), and TikTok (with close to 2 billion monthly active users). We built our own crawling tools to analyze these platforms at scale, giving every brand on our platform the same 360° view of what consumers are actually wearing.
Our insights include forecasted growth, forecasted market demand, magnitude, optimal launch time, and different levels of granularity. All of this data is cross-referenced with geography, seasonality, consumer segmentation, and gender. You can have more information on our platform’s data & insights on our dedicated page.