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Pricing Optimization at Delly’s: A Case Study in Successful AI Enablement

Talking Logistics

This includes implementing Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Demand Planning, Inventory Management, Transportation Management, and Warehouse Management applications. After capturing many of.

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

ThroughPut

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. The post AI in the Food Industry: Case Studies, Challenges & Future Trends appeared first on ThroughPut.

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AI in the Retail Industry: Benefits, Case Studies & Examples

ThroughPut

Streamlining Inventory Management and Reducing Waste With the help of AI-powered predictive analysis, retailers are optimizing stock levels, streamlining inventory, saving storage costs and minimizing waste. AI-driven robots help improve in-store inventory tracking and management.

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Alternative Protein: A Food Manufacturers Guide [+ Case Study]

Unleashed

How food manufacturers are taking advantage of the alternative protein trend: A case study One recently launched New Zealand company, Food Nation , is proving a winner in the alternative protein space. The post Alternative Protein: A Food Manufacturers Guide [+ Case Study] appeared first on Unleashed Software.

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Multi-Tier Supply Chain Application Enables Fortune 100 Company to Gain Visibility

Which suppliers were being roadblocks, Which posed threats to assurances in supply, What information was being conveyed between suppliers and other supplier and inventory management issues. Download the case study by TadaNow today! This lack of visibility caused issues meeting customer demands in a timely manner.

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Machine Learning in Supply Chain: Definition, Uses, Case Studies

Unleashed

In this article, we explore the potential of machine learning in supply chain management and the different types and uses of the technology. We also break down several case studies of companies currently using machine learning in their supply chain processes. These datasets allow for accurate inventory management.

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Case study: inventory management as a service at a global consumer goods manufacturer 

Aioneers

Analytics demands will grow with increasing complexity, and managed services enable a business to focus on their core objectives, scale up and down as necessary while receiving support – ongoing or project-based – as they need it.