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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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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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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. Data collected from drones, sensors, and satellites can be analyzed by farmers to save time, and costs related to field trials, food inspections, and more. All for the good.

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Google Will Acquire a 3PL – And Other Supply Chain and Logistics Predictions for 2015

Talking Logistics

made that prediction in 2008 (see the Barron’s article What $300-a-Barrel Oil Will Mean for You ). Three years later, he stayed with his $300-a-barrel prediction, but shifted the timeframe to 2020 (see the CBS News article, Another $300 Oil Prediction — and Why This One Matters ). million bbl/d in 2015.” .

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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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Real-time Capacity Matching: Making Brokers More Efficient

Talking Logistics

Demand for these solutions, from both shippers and brokers, continues to grow because companies want to identify and implement better ways to plan and execute their transportation and logistics operations, which is what ultimately delivers value. is what drove the first wave of demand for real-time freight visibility solutions.

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Thriving In ‘The New Normal’ With 5 Demand Forecasting Models

ThroughPut

After all, most of these business functions were created for a very different era where any change was predicted earlier and absorbed easily. Understanding and predicting demand in unpredictable times. Most manufacturers prefer to leverage analytics data over traditional forecasting and time series techniques.