MRO Magazine

Regional Dairy Drives Sales and Saves 36% in Ordering Costs with Park City Group’s Automated Ordering System

March 4, 2015
By Business Wire News


Park City Group (NASDAQ: PCYG), a cloud-based software company that uses big data management to help retailers and their suppliers sell more, stock less and see everything, announced today that a well-known regional dairy using Park City Group’s automated ordering solutions to replenish a large, national retailer was able to reduce ordering costs over 36% and reduce product returns by 16%, while increasing same store unit sales by 5%.

The dairy uses Park City Group’s proprietary algorithm based Automated Ordering system, which predicts future demand and re-ordering needs to optimize freshness, keep in-store coolers stocked and backroom inventories to a minimum. Park City Group’s Visibility & Analytics team helps throughout the process in reviewing days-of-supply, space-to-sales by store and product returns, and gives ongoing visibility to opportunities as business changes occur.

Another benefit of Park City Group’s Automated Ordering system is the elimination of both hot shots and special deliveries. Optimized delivery schedules not only reduced the labor costs spent on emergency replenishments for the supplier, but the retailer was also able to reduce their store labor costs associated with ordering by 88%.

“When suppliers are armed with visibility and the right ordering capabilities, they can reduce their labor investment and increase sales simultaneously,” said Randall Fields, CEO of Park City Group. “When less time is spent managing expedited deliveries, both the supplier and the retailer save in reduced labor costs.”

About Park City Group

Park City Group (NASDAQ:PCYG) is a Software-as-a-Service (“SaaS”) provider that brings unique visibility to the consumer goods supply chain, delivering actionable information that ensures product is on the shelf when the consumer expects it to be. Park City Group’s services enable customers to “Sell More, Stock Less, and See Everything”. More information is available at

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