From 2f7ec7696d70a6971ea90043c21f0b1b56bee481 Mon Sep 17 00:00:00 2001 From: Jen Looper <jen.looper@gmail.com> Date: Thu, 3 Jun 2021 17:21:40 -0400 Subject: [PATCH] stitchfix and wayfair for retail --- Real-World/1-Applications/README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/Real-World/1-Applications/README.md b/Real-World/1-Applications/README.md index 6f6d2c20..ed2be466 100644 --- a/Real-World/1-Applications/README.md +++ b/Real-World/1-Applications/README.md @@ -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 -- GitLab