Washington, D.C. (PRWEB) October 21, 2015
Applied Predictive Technologies (APT) announced today that United Dairy Farmers (UDF), a regional convenience retailer that operates nearly 200 stores throughout Ohio, Kentucky, and Indiana, has decided to license APT’s Test & Learn® for Sites, Test & Learn® for Customers, and Market Basket Analyzer software. UDF joins many leading convenience retailers — including Maverik, Shell, Sunoco, Thorntons, and Wawa—in using APT’s cloud-based software to improve their data-driven decision-making.
During the initial pilot engagement with APT, UDF used APT’s software suite to enhance their marketing initiatives, loyalty program, labor model, and fuel strategy to enhance the customer experience and improve financial performance.
David Lindner, Head of Retail at UDF, said, “APT’s software has accelerated the innovation process at UDF by enabling us to run more in-market tests with less cost across our nearly 200 locations. We have used APT’s Test & Learn for Sites software to design and analyze a number of tests, including understanding the incremental impact of our loyalty program, window signage, adjusting our fuel pricing strategy and more.”
UDF has also decided to license APT Market Basket Analyzer, a fast, flexible software that puts basket-level insights in the hands of decision-makers. Using transaction-level data, APT Market Basket Analyzer produces a wide variety of insights to help target marketing and merchandising initiatives.
On the decision to license APT Market Basket Analyzer, Lindner commented, “Transaction log data contains so many valuable insights, but it can be difficult to access them without the right tools. APT Market Basket Analyzer gave our team the ability to rapidly organize and mine our t-log data to understand which items are high value, what customers purchase with popular items, and more. With these insights, we can make smarter merchandising and marketing decisions that ultimately move the needle on profits.”
Lindner concluded, “Following our pilot engagement with APT, we have only great things to say about APT’s dedicated client services team and powerful analytic platform and we look forward to continuing to drive value by more accurately evaluating and refining each new initiative using APT’s software suite.”
Marek Polonski, Senior Vice President at APT, commented on the relationship, “We are very honored to continue helping UDF institutionalize data-driven decision-making so that they can be confident that they’re making the right decisions for their customers and for their bottom line.”
About United Dairy Farmers
United Dairy Farmers (UDF) is a Cincinnati based, privately owned manufacturer, wholesaler and retailer of ice cream and milk. Their almost 200 company-owned and operated retail stores, located throughout Ohio, northern Kentucky and in southeast Indiana, all sell hand-dipped cones, sundaes and shakes along with their milk and a wide variety of other food and convenience items. They also sell gasoline at most of their locations. To learn more about UDF, visit http://www.udfinc.com.
APT is a leading cloud-based analytics software company that enables organizations to rapidly and precisely measure cause-and-effect relationships between business initiatives and outcomes to generate economic value. Our intuitive and proprietary Test & Learn® software utilizes sophisticated algorithms to analyze large amounts of data, enabling business leaders to conduct experiments and allowing them to make optimal decisions and implement business initiatives at scale. We also offer products that support decision-making for specific business needs including transaction analysis, space planning, promotion design, category management and location selection. APT’s client portfolio features some of the world’s best known brands, including Walmart, Starbucks, Coca-Cola, Victoria’s Secret, American Family, Hilton Hotels, SUBWAY, TD Bank, T-Mobile, and others. APT has offices in Washington, D.C., San Francisco, London, Bentonville, Taipei, Tokyo, Sydney, and Chicago. Visit http://www.predictivetechnologies.com to learn more.