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Trends 2024: Artificial Intelligence

Enterra Insights

Predicting the Future. Making predictions can be a fool’s errand; however, AI tools are making the cloudy crystal ball a bit clearer. Mario Mirabella , CEO of MSM Digital, writes, “AI-powered predictive analytics enables us to harness the power of data and uncover valuable insights that can drive business success.

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Choosing the Right WES: What to Look For

BlueYonder

In today’s volatile logistics landscape, a WES acts as the warehouse’s “brain” by continuously optimizing service, profitability, sustainability, and other outcomes — enabled by advanced artificial intelligence (AI), machine learning (ML), data science and analytics. billion in 2029 — an average annual growth rate of 14.3%.

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

ThroughPut

billion by 2029. 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. billion in 2024.

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Supply Chain Predictions for 2020 (Who knew I’d still be writing this blog 18 years later!)

NC State SCRC

Although I didn’t come out with any new years’ predictions last year at this time, it’s the start of a new decade, so predictions are definitely in order. However, I also came to realize that I’ve been writing this blog now for more than a decade! Those that sit back and wait, however, may not.

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Warehouse Digitalization: The Warehouse of Tomorrow

Vinculum

The logistics industry is beginning to take advantage of the Internet of Things (IoT), artificial intelligence (AI), robotics, and data analytics. Warehouse digitalization is not just about Big Data and machines anymore, it is also about Smart Analytics and Machine Learning. Equipped with sensors, cameras, barcode scanners etc.,

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The Digital Age is a Quarter Century Old and Transformations are Still Taking Place

Enterra Insights

He writes: “In a supply chain context, leaders have been traditionally focused on accountability, predictability and risk minimization. … By 2029, industries will see leading companies leverage advanced analytics and supercharge their workforce with automation.”[5] ” Concluding thoughts.

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The Future of Digital Supply Chains

DynaSys

And to answer those questions, we asked Shaun Philips, Product Director at QAD DynaSys and Ariel Weil, QAD DynaSys’ CEO to give us their predictions of the future of supply chain technology. Digitalization includes natural language and conversational analytics to ensure the right data is available at the fingertips of the decision makers.