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@@ -31,8 +31,16 @@ One way to evaluate how a particular investment performs is through statistical
 
 ### Personalizing the customer journey
 
+At Wayfair, a company that sells home goods like furniture, helping customers find the right products for their taste and needs is paramount. In this article, engineers from the company describe how they use ML and NLP to "surface the right results for customers". Notably, their Query Intent Engine has been built to use entity extraction, classifier training, asset and opinion extraction, and sentiment tagging on customer reviews. This is a classic use case of how NLP works in online retail. 
+
+https://www.aboutwayfair.com/tech-innovation/how-we-use-machine-learning-and-natural-language-processing-to-empower-search
+
 ### Inventory management
 
+Innovative, nimble companies like [StitchFix](https://stitchfix.com), a box service that ships clothing to consumers, rely heavily on ML for recommendations and inventory management. Their styling teams work together with their merchandising teams, in fact: "one of our data scientists tinkered with a genetic algorithm and applied it to apparel to predict what would be a successful piece of clothing that doesn't exist today. We brought that to the merchandise team and now they can use that as a tool."
+
+https://www.zdnet.com/article/how-stitch-fix-uses-machine-learning-to-master-the-science-of-styling/
+
 ## Health Care
 
 ### Optimizing drug delivery