Case Study
 

How EBTH Predicts Monthly Revenue Within Cents

Each month, online estate sale company Everything But the House sells 80,000 unique items to the highest bidder, a scenario that makes revenue difficult to predict.

Everything But the House (EBTH)’s sole source of revenue is the commission it receives from 450 monthly auctions that include a total of 80,000 vintage items with a starting bid of just $1. Because every item is unique and bidders have complete control over the final sales price, forecasting revenue was difficult — until the team deployed a predictive model in the DataScience.com Platform. Find out how EBTH was able to forecast monthly revenue with more than 90% accuracy and put that information into action with a collaborative data science platform.

EBTH-case-study
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The DataScience.com Platform is now the hub for all data science at EBTH.
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The platform helps automate the process of updating EBTH's database.
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Senior leadership can access financial forecasts in a Tableau Workbook.
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The ability to deploy models as APIs has eliminated costly manual tasks.