We paved the way for Wayfair's data engineering team to use OSINT Marketing for customer targeting and implementing dynamic pricing across their entire furniture catalog.
We utilized custom Python and Go webscrapers to scrape pricing data from Wayfair's largest competitors. From there, data was ingested into pipelines that was cleaned and filled for missing data before creating queryable indexes for feature engineering. Email campaigns were automated to warm cold prospects lists into warm leads and eventually new customers.
We utilized Dataproc and Big Query to provide data warehouse solutions for running batch query jobs across their pricing catalogue.
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