If you want to see a great example of how data science can inform every stage of a business process, from product concept to operations, look no further than Stitch Fix's Algorithms Tour. Scroll down through this explainer to see how this personal styling service uses data and statistical inference to suggest clothes their customers will love, ship them from a nearby warehouse (already stocked thanks to demand modeling), and incorporate customer feedback and designer trends into the next round of suggestions.

The design of the Tour is interactive and elegant, and clearly someone put a lot of work into it. It's a great example of simplifying the detail of data science into a format where the impacts are immediately apparent. Communicating the benefits of data science to non-experts is a key skill of any data scientist, and dialing down on the complexity, while not dumbing down the science, is key to that communication.

From the Tour, we can see that Stitch Fix's data science is far from simple. Their methods aren't just black-box machine learning techniques: rather, they are using statistical inference to figure out *why* customers like particular products (or *why* operational strategies are efficient or not) rather than simply predicting *what* will happen. This is all driven by a sophisticated data science platform, that enables the team to employ techniques like Generalized Additive Models implemented in R, or Natural Language Processing implemented in Python. Check out their MultiThreaded blog for more details on data science applications at Stitch Fix, and be sure to check out the Algorithms Tour linked below.

Stitch Fix MultiThreaded: Algorithms Tour