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

ThroughPut

Every aspect of operations, be it managing the inventory, forecasting demand or fulfilling orders was dependent on human wisdom and intuition. Besides, AI is helping retailers optimize inventory, warehouse and pricing. Such detailed analytics also reduce retrieval times for faster order processing.

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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. Artificial Intelligence in supply chain helps track products from harvest to distribution channels and manage inventories with greater accuracy. All for the good.

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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain?

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Symbiosis & Synergy: Consulting, ERP Systems, and Inventory Management

RFgen

Unlocking the synergy between consulting services, ERP systems, and inventory management is the key to creating a powerhouse of efficiency. Together, consulting and ERP complement each other to improve your inventory management system. Synergy with IM: Consultants bring outside perspective on how best to solve inventory challenges.

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Best Practices for Optimal Inventory Replenishment

Vanguard Software

Inventory replenishment involves purchasing and moving inventory, both finished goods and raw materials, from reserve storage to primary storage and eventually to the selling location. The Importance of Inventory Replenishment. MicroVention Case Study. Download Case Study. Factors to Consider.

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Leveraging AI Technology for Non-traditional Problem-Solving in Fulfillment

Invata Intralogistics

Understanding AI’s Role in Non-traditional Problem Solving AI isn’t just about automating repetitive tasks; it’s also about finding intelligent, data-driven solutions to complex challenges in your fulfillment network. In addition to route optimization, AI can enhance the customer delivery experience.

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Supply Chain and Logistics Predictions for 2016

Talking Logistics

Well, my big audacious prediction for 2015 did not come true. Google did not acquire a third-party logistics (3PL) company or a logistics software vendor. But some of my other predictions did hit the mark or came close. Making supply chain and logistics predictions is like throwing darts at a moving target.