In a nutshell: Digitally curated shopping.<\/p>\n
Innovation Origins had a brief chat with CEO and co-founder Mark Hunsmann, who told us a bit more about the start-up.<\/p>\n Well, our software analyses a shopper’s facial shape and complexion based on selfie uploads, and then comes up with a set of optimum clothing colors for that particular person. Knowing the range of the best colors for a particular user, the technology filters stocks from shops which it is integrated with, then just a few seconds later, comes up with products that should match. Or, to be specific, our individual style data gets fed into other information which trigger product recommendations, e.g., previous shopping behaviors, etc.<\/p>\n Well, the problem on the consumer side is often a case of being overwhelmed and insecure when shopping for clothing online, massive rates of returns and generally poor conversion rates are a clear reason!<\/p>\n As founders we have been running an academy educating color, style and image consultants, and have been engaged in one-on-one shopping and wardrobe assistance ourselves for almost 10 years. Driven by digitization and various shopping attitudes with respect to millennials, it was obvious to us that the precious and timeless expertise of the image consulting profession needed to be made available in digital form. So we decided to face the challenge and create a tech solution and plug it right into apparel e-commerce, where it is really relevant!<\/p>\n There is a massive number of technology firms offering major data analysis as well as many external size-fitting solutions. However, we haven\u2019t seen anybody as yet assisting shoppers to get a handle on color-suitability insecurity. STYLERISER provides an accurate and professional color recommendation tool and as a next level, we\u2019ll also perform real-time style recommendation for shoppers based on their facial shape and complexion.<\/p>\n Well I guess the fact that it is a new approach \u2013 selling a service that has not yet been effectively been proven using data.<\/p>\n Sure, there have been times, slow development often frustrates me.<\/p>\n It was definitely when we succeeded in getting the first correct results from our analysis tool prototype!<\/p>\n We are pretty confident that the color and style assistant<\/em> will become something like a standard feature, similar to the \u2018classic\u2019 photo search which is pretty much mainstream nowadays. In the long run, we expect our software to be much more advanced and smoothly integrated with most technologically advanced fashion shops on both sides of the Atlantic.<\/p>\n Our aim is to enable consumers to build a rather advanced app-based style profile, or StyleID, which they can use to \u2018check-in\u2019 with on many shopping sites for clothing.\u00a0 Without having to go through a rather primitive style questionnaire for every single shop or rely on the personalized data that certain shops use in their algorithms.<\/p>\n Usually people light up when we explain what we are creating! It\u2019s kind of a no-brainer and people are wondering why this doesn\u2019t already exist.<\/p>\n Our primary customer are e-shops such as Zalando, Farfetch, Nordstrom and many other smaller ones. We\u2019re targeting shops that serve style-conscious consumers in upper-middle and upper class demographics.<\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" When someone is shopping online it is not uncommon that they spend quite a lot of time just looking for the perfect item. That one that you really like which\u00a0 complements your features. The start-up Styleriser has created a technology that is able to cut this time down considerably, as it allows retailers to make […]<\/p>\n","protected":false},"author":1724,"featured_media":509507,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":""},"categories":[8553,3009],"tags":[37149,38707,39279,35348],"location":[24456,6763],"article_type":[],"serie":[],"archives":[],"internal_archives":[],"reboot-archive":[],"class_list":["post-182806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digital","category-startup","tag-algorithm","tag-digital-assistant","tag-facial-recognition","tag-start-up-of-the-day","location-germany","location-netherlands"],"blocksy_meta":[],"acf":{"subtitle":"","text_display_homepage":false},"author_meta":{"display_name":"Giacinto Bottone","author_link":"https:\/\/ioplus.nl\/archive\/author\/giacinto-bottone\/"},"featured_img":"https:\/\/ioplus.nl\/archive\/wp-content\/uploads\/2019\/08\/headergust.jpg","coauthors":[],"tax_additional":{"categories":{"linked":["Digital<\/a>","Start-ups<\/a>"],"unlinked":["Digital<\/span>","Start-ups<\/span>"]},"tags":{"linked":["algorithm<\/a>","digital assistant<\/a>","facial recognition<\/a>","Start-up of the day<\/a>"],"unlinked":["algorithm<\/span>","digital assistant<\/span>","facial recognition<\/span>","Start-up of the day<\/span>"]}},"comment_count":"0","relative_dates":{"created":"Posted 7 years ago","modified":"Updated 7 years ago"},"absolute_dates":{"created":"Posted on August 29, 2019","modified":"Updated on August 29, 2019"},"absolute_dates_time":{"created":"Posted on August 29, 2019 5:00 pm","modified":"Updated on August 29, 2019 5:00 pm"},"featured_img_caption":"","series_order":"","_links":{"self":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/posts\/182806","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/users\/1724"}],"replies":[{"embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/comments?post=182806"}],"version-history":[{"count":0,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/posts\/182806\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/media\/509507"}],"wp:attachment":[{"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/media?parent=182806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/categories?post=182806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/tags?post=182806"},{"taxonomy":"location","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/location?post=182806"},{"taxonomy":"article_type","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/article_type?post=182806"},{"taxonomy":"serie","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/serie?post=182806"},{"taxonomy":"archives","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/archives?post=182806"},{"taxonomy":"internal_archives","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/internal_archives?post=182806"},{"taxonomy":"reboot-archive","embeddable":true,"href":"https:\/\/ioplus.nl\/archive\/wp-json\/wp\/v2\/reboot-archive?post=182806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/archive.ioplus.nl\/wp-content\/uploads\/2019\/08\/IMG_1420-600x451.jpg\")
How does it work?<\/h4>\n
What was the motivation behind the creation\u00a0of\u00a0STYLERISER?<\/h4>\n
What makes STYLERISER stand out from the pack?<\/h4>\n
What has been the biggest obstacle that you have had to overcome?<\/h4>\n
And, was there a moment in where you thought of giving up?<\/h4>\n
On the other hand, what has been the most gratifying moment?<\/h4>\n
![\"\"](\"https:\/\/archive.ioplus.nl\/wp-content\/uploads\/2019\/08\/styleriserlinkedin-600x182.jpg\")
What can we expect from the coming years?<\/h4>\n
What is your ultimate\u00a0goal?<\/h4>\n
Can you tell me a bit about the feedback you’ve gotten?<\/h4>\n
Finally, who is the\u00a0STYLERISER customer?<\/h4>\n