Instacart's routing models predict Manhattan travel times twice as well as Google
Jeremy Stanley · Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark) · Sep 30, 2016 · at 10:20
Jeremy Stanley, VP of Data Science at Instacart, compares Google Maps API predictions to Instacart's internal predictive models for delivery travel time in Manhattan.
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“If you just take the predictions out of Google Maps API, you'll be able to explain about 25% of the variance. If you look at the models that we built internally that use a lot more of our historical data, we can get up to about 50% of the variance explained.”
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