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Epicor expands aftermarket data ‘factory’ to harvest AI insights from vehicle repair events

Info will be used by parts manufacturers, distribution networks, independent distributors and service chains

Austin, Texas—Epicor Software Corporation has announced the expansion of its automotive aftermarket data “factory” by using artificial intelligence and natural language processing capabilities to capture part and service insights from vehicle repair events.

This additional information will be integrated into existing and future Epicor Industry Data Analytics solutions used by aftermarket parts manufacturers, distribution networks, independent distributors and service chains.

Epicor has contracted with Predii, an enterprise AI software company specializing in the automotive aftermarket, to assess repair event data flowing through the Epicor data factory. This new process will further refine and enrich vehicle part and service insights embedded within Epicor analytics used at every level of the aftermarket.

“Our customers have made it clear that getting the right part to the right place at the right time has never been more important,” said Rod Bayless, senior director, Industry Data Analytics, Epicor. “This new value point in our rapidly expanding data factory strengthens Epicor’s position as the key enabler for those that make, move and sell aftermarket parts.”

Epicor aftermarket data analytics today offer visibility to more than one billion part transactions and nearly 140 million vehicle repair events per year. In addition, the company’s cloud data pools track the current availability and historical performance of inventory items representing virtually all popular brands and product categories.

Solutions now available include industry brand and item market performance indices; vehicle part replacement rates; predicted vehicle maintenance by year/make/model/engine; predicted inventory assortment models to ZIP code level; vehicle repair market “baskets” featuring related items and adjacent repair events; and brand-specific product catalog holes and market coverage analyses by vehicle.

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