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

ThroughPut

While on one hand, predictive analytics analyzes historical data and market trends for accurate demand forecasting, on the other, customers are being offered personalized experiences based on their preferences, purchase history and behavior. Such detailed analytics also reduce retrieval times for faster order processing.

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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

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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? How should the supplier perform?

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Lora Cecere on Supply Chain Metrics that Matter

AIMMS

Interview with Lora Cecere, Founder and CEO of Supply Chain Insights and Author of Supply Chain Metrics that Matter ( published December 2014 ). Metrics that Matter became a three year research project. I realized that many organizations are very confused about metrics. So I started this book as a summary of this research.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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No Time Like the Present

Supply Chain Shaman

On this tour, I heard Jeff Ma, a former member of the MIT blackjack team, speak on the use of analytics to make better decisions in “beating the house.” In the world of supply chain management following 33 months of disruption, this is not the case. The outcomes are less predictable or clear. We are re-writing the rules.

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Efficiently Picking Your Way to Success: Best Practices for Improving Order Picking Speed and Accuracy in Warehouse Management

RFgen

Be sure to measure current order picking metrics, such as: Picking accuracy Picking rate Fill rate On-time rate Travel time You may also need to evaluate other relevant inventory KPIs. For example: Inventory accuracy / error rate Order turnaround / cycle time Cost per order And any other metrics valuable to your operation.