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On November 13, 2018, StitchFixFan commented on Stitch Fix: The Fashion Maven of Machine Learning :

I like that you explicitly call out their creation of new products based on customer feedback. While their position as a digitally-native ecommerce company has served them well to date, I’m curious whether you think they would ever open any brick and mortar stores. We’ve seen retailers like Allbirds Shoes and Casper Mattresses get their starts online, but then move to select brick and mortar stores. Whether this is to enable in-person try on or to drive brand awareness is yet to be seen, but I’m interested whether Stitch Fix will ultimately run into a wall that data as it exists today cannot solve for them.

On November 13, 2018, StitchFixFan commented on I, Banker :

It will definitely be interesting to see whether JP Morgan extends their coding training in the coming years. The trend of increasing analytics training for more ‘traditional’ hires is something we see in the consulting industry as well, so it’s not surprising that it’s happening in banking as well. Yet I do wonder what the benefits are of providing traditional banking hires with coding training, as opposed to hiring data scientists specifically. I imagine that it would be very difficult to train a banker up to the level of a data scientist and vice versa, so I’m curious as to whether they continue to cross-train both, or if they find a more synergistic way to have those two different functions work more collaboratively together.

On November 13, 2018, StitchFixFan commented on Chanel’s Foray Into 3D Printing :

It is interesting to think about 3D printing as cutting down R&D costs for a company like Chanel by reducing incremental dollars spent on prototyping mascara, since I suspected their runway collection 3D printed garments were more for show than for cost efficiencies. Along those lines, I wonder if they are looking into whether 3D printed components could be used for any of their garment production. That being said, they are likely to get more press for customer-facing 3D printed products than they would for back end improvements, so it all depends on whether their motivations are more focused on cost reduction vs. upside

On November 13, 2018, StitchFixFan commented on Data and Machine Learning: The New Grocery Battle Ground :

The machine learning initiatives they have implemented to date are very interesting, and seem quite innovative for a brick and mortar grocery store. From what I understand, Kroger is fairly mission-driven and people-focused, especially with their front line employees, to a greater extent than some other grocery retailers. Given that, I do wonder what the effects of expanding machine learning into things such as auto-pick in distribution centers would be in terms of morale (though I do understand the need for cutting costs if they want to exist in the long term).

On November 13, 2018, StitchFixFan commented on The Growing Market for Identifying Fake IDs :

I like the question you pose about whether we will continue to rely on physical documents such as IDs and passports in the future. When it comes to sensitive processes (such as airport security or even local voting), it seems as though physical documents and human interactions are valued to try and reduce risks of hacking / digital alteration. Yet that’s also subject to human error. It seems as though Jumio’s deep learning approach will serve them well for pioneering this work, and I’m curious to see how they are able to form partnerships over the next few years in order to help train the systems to an even better degree.

On November 13, 2018, StitchFixFan commented on Beauty Brand with Droves of Data: How Glossier Employs Machine Learning :

Agree with the response above–losing connections with customers could be a risk as these types of companies increase their use of machine learning and big data analytics. That being said, there are opportunities to leverage machine learning even further with unstructured data sources such as social media to further enhance customer understanding.