Maggnumite selects AGR for Advanced Forecasting

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Maggnumite and AGR have announced a partnership to enhance demand planning functionality for Microsoft Dynamics 365 Finance and Supply Chain with the AGR solution. The platform enables users to utilize data more effectively to increase forecast accuracy, optimize inventory levels and provide visibility and control of the supply chain. Whether you’re looking at reducing the time to produce monthly reports, understanding the specific value in your data, or how to use it to drive further value within your business during these turbulent times.

“We are pleased to welcome Maggnumite as a partner and look forward to introducing our forecasting and planning platform to their expanding customer base. The solution can give a strong competitive advantage to companies by saving time on manual tasks around procurement as well as reducing the working capital that is tied up in inventory levels.“ Says Finnur Bragason, Sales Director.

Dan Gregersen, Maggnumite CEO; “With increasing challenges in the supply chain, we see AGR as a strategic partner that can offer an advanced demand planning platform that expands the functionality that Microsoft Dynamics 365 Finance & Supply Chain offers. AGR´s solution and vertical expertise provide us with an add-on that uses best practice processes and data insights that helps users identify these challenges and respond accordingly.“

About AGR Dynamics 

AGR specializes in supply chain management solutions through the AGR software. Founded in 1998, the company has provided services to wholesale, retail, and manufacturing companies through specialized software to forecast demand, optimize inventory levels and provide visibility and control over stock levels. 

About Maggnumite

Founded in 2018, Maggnumite is a Microsoft Dynamics 365 Finance and Supply Chain mentor who focuses on enabling clients to “master their own solution” from the inception. Maggnumite’s agile approach to a “cyclical concert” during implementation allows clients to quickly deploy with minimal economic impact.

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