Demand forecasting is not a new concept in the supply chain. In fact, it’s often referred to as ‘guessing between the goalposts,’ and for the most part, that was right.
Now, using algorithms that not only predict demand to drive forecasts but also incorporate external data sources and continuously learn and optimize the algorithm without intervention we have the ability to significantly reduce the size of those goal posts. Using AI we can improve the accuracy of our forecasts and then allow us to predict where and when those products should be deployed ahead of customer demand. The result? Improved forecasts, reduced freight costs, better customer service levels, and optimized working capital.
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Proven AI-enabled computer vision technology automates real-time monitoring and alerting using your existing camera infrastructure. SparkCognition Visual AI Advisor supports more than 125 end-to-end use cases to improve safety, security, visual inspection, productivity, and situational awareness.
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Arcadia Data
Watch this webinar with industry experts from Enterprise Management Associates and Arcadia Data to learn: The state of big data analytics today, How data-driven organizations push analytics to the front line, Why exploration/discovery requires detailed data, The necessity of integrating streaming data in real time, Real world examples of implementation.
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We’re witnessing an astonishing growth in the volume of information stored and processed in real time - now measured in zetabytes! As such, the world is well past the point where making sense of all this information is humanly possible and we need specialised tools such as AI/ML to reveal new intelligence and drive actionable outcomes.
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