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[STUDY] How online companies can score with individualized product recommendations

E-Commerce, AI, Big Data, Biomechanics, Health, Sport / By

The choice of the right products, especially those that require intensive advice, is a constant challenge for consumers shopping online. The majority are therefore open to support in the buying process in the form of services and technologies. In some areas, scientifically based product recommendations can already be a real benefit in the purchasing process. …

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AI-based mattress solution – more comfort, healthier sleep, fewer returns

AI, Big Data, Ergonomics, Health / By

The growing number of health-conscious consumers has boosted the mattress market immensely over the years. With disposable income on the rise, more and more consumers are willing to spend generously on health-enhancing products. Insufficient or poor quality sleep can lead to depression, reduced concentration, high blood pressure and heart disease. Consequently, considering the increasing need …

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Why is motion data the “new gold” in health-tech/ AI?

Health, AI, Big Data, Biomechanics, Cloud, Sport / By

Live on stage during the GIANT Health Event 2021  – Motesque’s CEO Prof. Dr. Kai Oberländer and CSO Dietmar Hagen Horn are in the MLab, Motesque’s product development and research facility, presenting “why is motion data the new gold in health-tech / AI“? Furthermore Prof. Dr. Kai Oberländer illustrates how Motesque accesses and analyzes motion data and …

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Episode 1: What to expect of a first triathlon

Sport, Health / By

Doctor Arnout Schepers and LL.M. Paul Engelbertink share their insights about their experiences of their first and second triathlon. Which expectation and motivation did they had? Which goals did they set for themselves and what where their first steps for preparation? Find answers in our podcast episode. Your browser does not support JavaScript! JavaScript is …

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Our international study surveyed  1500+ consumers‘ expectation towards the online-shopping of advice-intensive products.
Download the findings on how manufacturers and retailers can optimize their product recommendations for a more satisfied customers and less product returns!

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