How To Make More Fit Analytics By Doing Less
Fit Analytics is a Berlin-based company that has developed a machine learning algorithm to improve the accuracy of clothing size recommendations for online shoppers. Founded in 2010 by Sebastian Schulze and Dr. Stephan Seeber, Fit Analytics has grown rapidly over the past decade and now counts major fashion brands such as Adidas, Patagonia, and Asos among its clients.
The core technology behind Fit Analytics is its machine learning algorithm, which uses a combination of data from customers’ purchases, returns, and feedback to generate personalized size recommendations for each individual. By analyzing patterns and trends in this data, the algorithm is able to make more accurate predictions about what size a customer should order.
In addition to improving the accuracy of size recommendations, Fit Analytics also helps reduce the number of returns and exchanges for online retailers. By providing customers with more accurate size recommendations, the company is able to help reduce the number of items that are returned or exchanged due to incorrect sizing. This is a major issue for online retailers, as returns and exchanges can be expensive and time-consuming.
One of Fit Analytics’ most notable clients is Adidas, which has implemented the company’s technology on its e-commerce site. Since adopting Fit Analytics, Adidas has reported a significant reduction in the number of returns and exchanges. This has not only saved the company money, but it has also helped to improve customer satisfaction and loyalty.
Fit Analytics has also been recognized for its innovative technology and business model. In 2018, the company was selected as one of the top 100 most innovative companies in Germany by business magazine Capital. The company has also been featured in publications such as Forbes and TechCrunch, and has received several awards for its technology and business practices.
Recently, Fit Analytics has expanded its offerings beyond clothing to include footwear and eyewear. The company has also partnered with 3DLOOK, a body scanning and sizing technology company, to further improve the accuracy of its recommendations. Through this partnership, Fit Analytics is able to offer customers a more personalized and accurate sizing experience, which can help to improve customer satisfaction and reduce returns.
Looking ahead, Fit Analytics is poised for continued growth and expansion. The company has already established itself as a leader in the online retail space, and its technology has the potential to disrupt traditional brick-and-mortar retail as well. As more consumers turn to online shopping for their clothing and footwear needs, the need for accurate size recommendations will only continue to grow. With its innovative technology and strong client base, Fit Analytics is well-positioned to meet this need and to continue to drive innovation in the retail industry.
In conclusion, Fit Analytics is a Berlin-based company that has developed a machine learning algorithm to improve the accuracy of clothing size recommendations for online shoppers. The company’s technology has the potential to revolutionize the online retail industry by reducing the number of returns and exchanges and improving customer satisfaction. With its innovative technology and strong client base, Fit Analytics is well-positioned for continued growth and success in the years ahead.