Black Book Partners With Drivably to Enhance Inventory Recommendations
Black Book and Drivably have partnered to pair the former’s data and analytics expertise with the latter’s AI and machine learning platform to enhance dealer inventory acquisition recommendations.

LAWRENCEVILLE, Ga. — Valuation specialists Black Book announced a new partnership with Drivably, an inventory procurement platform for dealers leveraging artificial intelligence-driven solutions.
Black Book’s automotive intelligence and vehicle valuation data are powering Drivably’s dealer inventory acquisition ecosystem. Drivably’s offering helps dealers seamlessly find the right inventory opportunities by making recommendations based on a variety of criteria including a dealer’s unique preferences, historical dealership performance data, individual market, and valuation data, executives said.
“Valuation precision is key in inventory acquisition to maximize margin at the retail sale,” said Jared Kalfus, Black Book’s executive vice president of revenue. “Black Book’s data analytics and insights will power the recommendation model that results in the Drivably score, increasing profit potential for each dealer on the Drivably platform.”
Drivably automates the buying process so dealers can not only save time, but also acquire the best inventory for their lots, meaning dealers can make more money from the cars they buy and dedicate time to more critical business-related activities. Drivably’s model leverages various Black Book data including History Adjusted Valuations and retail market insights, in addition to a dealer’s unique preferences, all according to the announcement.
“Simply analyzing the local market is not good enough,” said Tyler Hall, CEO of Drivably. “There is other data that is critically important in recommending the right inventory to dealers. As online inventory acquisition becomes more mainstream, it will become increasingly more important to leverage the right data to make the right decisions. With Drivably and Black Book, dealers can trust that our platform’s recommendations are accurate.”
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