Companies in various domains use predictive analysis to estimate future customer behavior and offer products and services accordingly. Over the years, predictive analysis has grown into a dependable method anticipating customer behavior and has taken out a lot of guesswork for companies when they are designing their products.
Recently, Enprecis, an automotive data insight company, partnered with WePredict to provide the advantages of predictive analysis to the automotive industry. The combined solution will provide valuable insights into two major areas of automotive industry: vehicle performance and customer opinions.
For years, Enprecis has been gathering valuable data in form of customer feedback on vehicle quality. The company will now combine that data with WePredict’s data analytics product which will help automotive companies to make the much needed manufacturing and design changes. This ability will save lots of costs for the manufacturers and will also help them to bring out vehicles that cater readily to the needs of the users.
“By bringing together detailed data from multiple sources, Enprecis has been showing automakers what goes on in their vehicles and what customers think for a long time,” said Enprecis Chief Executive Officer, Richard Counihan. “Now it’s time to expand our capabilities to include predictive modeling to identify characteristics that put customers ‘at risk’ of not recommending the vehicle brand or not purchasing another vehicle of the same brand. This will help automakers find those customers early on and take steps to improve their experience.”
In 2011, the company partnered with WhatCounts, a permission-based e-mail service provider to enable the e-mail delivery of Enprecis survey invitations to automobile owners. According to the company, this would encourage the interaction between vehicle manufacturers and drivers. To offer rapid, streamlined service to customers across various technology setups, both the companies make use of the software-as-a-service (SaaS (News - Alert)) delivery model.
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Edited by Rachel Ramsey