RALEIGH, N.C. (PRWEB)
July 07, 2020
Good Foods, LLC, is a leader in providing healthy, all-natural products such as guacamoles, dips, salads, and dressings. Good Foods started out of a passion for fresh food made with clean ingredients. Their mission is to ease the minds and lives of consumers with their simple, safe, and delicious foods. They use fresh ingredients to create great tasting food with the best nutritional value without sacrificing flavor or quality. “Good Foods – Real people using real ingredients to make really good foods.”
Good Foods will be leveraging Vanguard Predictive Planning’s demand and supply planning functionality in their business. Vanguard Predictive Planning’s demand and supply solutions improve forecast accuracy to minimize spoilage and stockouts, both common challenges in the food and beverage industry.
With our demand and supply planning solutions, Good Foods will be able to predict the consumption of their products more accurately and make better-informed decisions in its supply chain. Vanguard Software’s solutions have all the right ingredients Good Foods needs for their demand and supply operations.
To learn more about how Vanguard’s demand planning and supply planning solutions could help your business, contact us to request a demo.
About Good Foods
Good Foods is a fast-growing company that focuses on state-of-the-art processes, eco-friendly initiatives, and food safety. Good Foods uses High-Pressure Processing (HPP) to give its customers a preservative-free product. Its Team Members create great tasting food with the best nutritional value, without sacrificing flavor or quality, so their clients and partners can enjoy their food as well as their lives.
About Vanguard Software
Vanguard Software introduced its first product for decision support analysis in 1995. Today, companies across every major industry and more than 60 countries rely on the Vanguard Predictive Planning platform. Vanguard Software is based in Cary, North Carolina.
Share article on social media or email:
Published at Tue, 07 Jul 2020 00:00:00 +0000