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AI in the Food Industry: Case Studies, Challenges & Future Trends

ThroughPut

Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. AI powers predictive analytics where trends, preferences and purchasing behaviors are analyzed in-depth that help companies store the right product mix. All for the good.

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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

Given your expertise, I’d love to hear what alternatives you recommend for better demand forecasting and real-time visibility beyond what’s commonly adopted today.” The issues are largely rooted in politics and the lack of clarity on supply chain excellence. Or planned orders to purchase orders?) I don’t know.

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7 Steps to Better Demand Forecast Accuracy

Vanguard Software

However, there are quite a few ways to improve demand forecast accuracy. Here are seven ways to improve demand forecast accuracy for increased operational efficiency and profit. Breaking up with Excel: Digital Sales Planning Success with Concord Foods. Produce a range of forecasts. Webinar: Register Now.

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Thriving In ‘The New Normal’ With 5 Demand Forecasting Models

ThroughPut

Step Up Demand Planning Efforts with a Robust Forecasting Model . Demand forecasting can be a game changer in today’s volatile environment. Infact, according to McKinsey , applying AI-driven demand forecasting to supply chain management can cut down errors by 20-50% and this helps reduce lost sales by 65%.

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How Food Manufacturing Software Drives Profit [w Case Studies]

Unleashed

Digitising processes provides transparency of these operational processes and will deliver reliable data, allowing manufacturers to make more effective business decisions to maximise productivity and drive operational excellence. Unleashed Software’s Business Intelligence tools are a case in point.

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Elevating The Voice of the Supply Chain Contrarian

Supply Chain Shaman

Many of the case studies being presented at today’s conferences were born during the pandemic and the post-pandemic turbulence. As a result, the lessons given in case studies and at industry forums do not help the industry progress. Demand latency is the time cycle to translate a channel purchase to an order.)

Gartner 346
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A Case Study in Reverse Logistics Optimization!

Supply Chain Game Changer

The application of advanced forecasting and planning methodologies improve inventory management in a critical, high-volume repair business, dramatically reducing costs and fulfillment cycles while improving customer satisfaction. Difficulties forecasting demand in a high-volume repair environment caused inventory costs to skyrocket.