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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. Detection of nutritional constituents and allergens in food, optimizing routes and schedules of food delivery, and inventory management are some of the other ways AI is helping the food production industry.

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Supply Chain Case Study: the Executive's Guide

Supply Chain Opz

Analysis of case study is certainly one of the most popular methods for people from business management background. In order to accelerate the learning, this article has gathered 20+ most sought-after supply chain case studies, analyzed/categorized them by industry and the findings are presented.

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How Food Manufacturing Software Drives Profit [w Case Studies]

Unleashed

Effective inventory management is crucial to reducing costs in any manufacturing business. Good food manufacturing software provides a means to track inventory in real-time, through every step of the supply chain. Why your food inventory management system is going stale. Working with fresh food.

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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

If S&OP efforts were that effective, don’t you think that we would have made more progress against inventory levels, margin, and growth? In part, this results in increasing swings in inventory in response to shifts in consumer demand as one moves further up the supply chain. Go to the source. I don’t know.

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Warehouse Wins: Leveraging Software to Transform Inventory Challenges into Inventory Triumphs

RFgen

A New Perspective on Inventory Management Inventory management can feel like a constant game of cat and mouse—chasing after ever-changing demand while trying to balance stock levels. As revealed in the RFgen Digital Inventory Report , a major challenge in inventory management is having too many challenges.

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McDonald’s Mesoamérica Supply Chain Response to COVID-19

ToolsGroup

Rafael: It has been a really helpful tool with which to go through this crisis. If you do the math there, you have to make 748,000 inventory decisions per month. So our main task now is to consolidate all the purchase and inventory decisions in one team. Decisions were made within 24 hours. We had to close within one day.

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Melitta: Collaborating for an Improved Forecasting Process

ToolsGroup

The tool also needed to accommodate configurable workflows and automatically detect demand exceptions or outliers. The process brings together all the plans for the business (sales, marketing, development, manufacturing, sourcing, and financial) into one integrated set of plans.” Read the full Melitta case study below.