Two Major Grocery Customers Begin Implementation of Park City Group’s Food & Drug Safety Technology
January 1, 2018
Park City Group, Inc., a leader in consumer goods supply chain technology, has announced that Global Supply Chain Systems, Inc., the food and drug safety track and trace business powered by Park City Group, Inc.’s technology platform, has begun the first two implementations of its ReposiTrak software solution at a global grocery retailer and a major grocery wholesaler. As previously announced, Park City Group and Leavitt Partners, an internationally-known health care and food safety consulting firm, formed Global Supply Chain Systems, Inc. to provide a targeted solution for improving supply chain visibility for food and drug safety. “The initial response to ReposiTrak from retailers, suppliers, wholesalers and other participants in the global food and drug supply chain has been very encouraging. The solution offers an easy to implement and cost effective way to address very real safety problems,” says Randall K. Fields, Chairman and CEO of Park City Group. “In very short order, we have progressed to the point of implementation with our first customers and have several more in the pipeline.” Powered by Park City Group’s technology, Global Supply Chain System’s ReposiTrak solution enables grocery, supermarkets, packaged goods manufacturers, food processing facilities, drug stores and drug manufacturers, as well as logistics partners, to track and trace products and components to products throughout the food, drug and dietary supplement supply chains. In addition, the technology addresses the market need of receiving, storing, sharing and maintaining regulatory documentation all in one convenient location. In the unfortunate, but highly likely, event of a product recall, the solution quickly identifies the supply chain path taken by the recalled product or product component. ReposiTrak reduces risk in the supply chain by identifying backward chaining sources and forward chaining recipients of products in near real time.
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