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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. Food Retail In the food retail sector, AI has been helping reduce wastage as the tools can more accurately predict the demand for products. All for the good.

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

Invata Intralogistics

From reducing return rates by analyzing product data to predicting inventory needs with startling accuracy, AI systems offer many benefits that traditional problem-solving methods can’t replicate. Predictive analytics can provide tighter delivery windows, and machine learning can lead to more accurate ETAs.

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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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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.

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No Easter Bunny?

Supply Chain Shaman

Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. There is the need for an analytics strategy that can power outside-in, real-time processes using structured AND unstructured data. As a result, many companies are struggling. Intuitively leaders feel there is a better way.

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How To Start Your Brewery On The Path To Success

Unleashed

Case study 1: Epic Brewing Company. Case study 2: Zeffer Cider. Don’t purchase any supply chain solution that is not Cloud or SaaS based. That means you can buy it as a remote online service (SaaS) paying typically by user per month, or buy and install the software on the cloud. your brewing plant).

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How Retailers and CPG companies are benefiting from next-gen Control Tower and S&OE

o9 Solutions

CPG manufacturers are scrambling to strengthen the connect with consumers and in some cases to bypass retailers altogether. The emerging best practice is to deploy cognitive control towers that are both analytical and operational. A lot of blood, sweat and Excel is devoted to root cause analysis of operational failures.