What’s to explain? Consumer tech is fashion products, not tools.
Or have you not noticed whenever you first start dating someone new your choices in app brands elicits the same kind of responses as your choice in clothing?
How fashion startups get accepted into tech accelerators
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Re: How fashion startups get accepted into tech accelerators
#12Earlier quoted context omitted.
One free trick to getting a better fit is to try on more than one of the “right” size for the same article of clothing.
Free business idea: Don’t worry about loose manufacturing tolerances, but make a way of precisely measuring each individual finished garment, then match the specific garment to the specific customer.
Personal AR devices with 3D cameras will make it easy for someone to get precise measurements and re-scan after any weight change. On the manufacturing side, I think we need to combine cameras with clothing material data and robots that stretch the clothing in various directions to ascertain actual size. The output measurements could be matched up with the 3D scans of customers to make accurate size recommendations.
In addition, the manufacturer's measurements could be turned into a 3D model of the clothing that can be "worn" by a deepfake digital version of the customer. CGI footage would be generated of Deepfake Customer inhabiting a curated branded setting, showing how the clothing would fit on the customer from multiple angles. This wouldn't only be for the customer's viewing. An ML Aesthete would view Deepfake Customer catwalking in tens of thousands of permutations of the store's clothing, recommending the combination of merchandise that would be most attractive, adjusting for the customer's preferences.
If the customer is still undecided between several articles of clothing, photos from the deepfake catwalk could be posted on a website like Photofeeler.com, where human opinions would be rendered in minutes and compared with the customer's baseline attractiveness to compute an "attractiveness boost" score. ML Aesthete would be "punished" for differences between their score and the human scores, until their scores match up and human opinions are no longer necessary. Alternatively, the customer can post an Instagram story with a voting mechanism. If anyone with ML and/or robotics experience would like to work with me (I'm currently non-technical but have business acumen) on the whole system described above, even if perhaps as an aspirational side project, please reply below.