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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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Navigating the Future: How Advanced Supply Chain Analytics is Transforming the Industry

ThroughPut

is advanced supply chain analytics. Advanced supply chain analytics is turning the current uncertainty into strategic foresight. In this blog, we’ll delve deeper into the potential of advanced supply chain analytics and understand why it is the need of the hour.

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How to Predict the Unexpected and Mitigate Supply Chain Disruption with AI

QAD

Artificial intelligence (AI) is one of the big “buzzwords” of 2024, which is a shame because the technology’s analytical capabilities have a lot to offer supply chain planners – if you can cut through the hype. Predictive analytics, demand planning and business forecasting have always been core functions for supply chain planners.

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Is it too Early For 2022 Predictions?

Logistics Viewpoints

With Christmas goods in stores before Halloween this year, I thought there was no reason that we shouldn’t also get a jump on 2022 predictions. For example, Amazon’s Whole Foods business is now incrementally charging for delivery to offset increased delivery costs. The post Is it too Early For 2022 Predictions?

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Ways Food and Beverage can Build Resilience with Supply Chain Optimization Software

Logility

From harvest to hands, the food & beverage (F&B) industry leaves no room for guesswork, especially without supply chain optimization software. Excellence in all these areas requires predicting demand, buying supplies, producing products promptly, and swiftly responding to market demand.

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Demand Sensing (and Other Secret Ingredients) for Food and Beverage Supply Chain Success

Logility

Food and beverage companies can use demand sensing to predict sudden market trends and prepare for actual supply needs. Demand fluctuations dominate the food and beverage (F&B) industry. If the business purchases too much, it risks overstocking goods that cannot be sold after they exceed their shelf life.

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

ThroughPut

Integrating Artificial Intelligence (AI) within different segments of the Food Industry, including transportation and logistics, production planning, quality control, and others has kicked off revolutionary transformations. The market size of AI in the food industry , including the beverages sector is set to cross USD 9.68