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Fast data processing for understanding customers

By Yan Yang, Data Scientist @ Chewy

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Image for post
Photo by Daniel Tuttle on Unsplash

One of the biggest challenges for an e-commerce company is processing customer-generated session data. Here at Chewy’s Recommendations and Personalization Management team, we are constantly exploring ways to process session data to improve our website and better our customers’ shopping experience.

PySpark running on Amazon Web Services’s Elastic Map Reduce (AWS EMR) is one tool I use often for this kind of high-volume data processing. In this blog post, I will walk through a step-by-step example from a past project to showcase this tool and discuss how to use it effectively. …


By Kate Goodin, Content Designer @ Chewy

A hand holding a phone over some sketches. Another pair of hands cuts a piece of paper.
A hand holding a phone over some sketches. Another pair of hands cuts a piece of paper.
Photo by Amélie Mourichon on Unsplash

Content design sounds great in theory: Focus on the customer to give them the content they need at the right time and in the right place. But in practice, it can be hard for fast-moving product teams to implement. Projects can be messy, with technical constraints, multiple stakeholders, and competing priorities. Can content design work in the real world?

At Chewy, we have a content design team in place, but we’re still breaking out of our roles as copywriters and testing out new, more collaborative processes. …

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