{"id":14736,"date":"2022-08-09T15:00:17","date_gmt":"2022-08-09T13:00:17","guid":{"rendered":"https:\/\/eyeonplanning.com\/?p=14736"},"modified":"2024-06-27T11:05:13","modified_gmt":"2024-06-27T09:05:13","slug":"forecasting-machine-learning","status":"publish","type":"post","link":"https:\/\/eyeonplanning.com\/blog\/forecasting-machine-learning\/","title":{"rendered":"How to make a next step in forecasting with machine learning"},"content":{"rendered":"

\u2018<\/strong>Driver-based forecasting\u2019 with machine learning<\/strong><\/h2>\n

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Data is everywhere in today\u2019s world. Every single event in your supply chain generates data, and the opportunities to utilize all that data seem endless. At the same time, there are many tools and technologies out there claiming to solve all your data problems. No wonder many professionals feel overwhelmed!<\/p>\n

Which key opportunity can you unlock by using your data better? Reducing latency! Quicker data collection, better dashboards, and suitable tools help you get the right information on the right person\u2019s desk at the right time \u2013 effectively reducing the delay from event to decision, and thereby dramatically increasing the impact of your decisions. Machine learning can help.<\/p>\n

Results from a benchmark conducted by EyeOn in 2021 show that:<\/p>\n

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  1. companies are most eager to start applying machine learning in the area of demand forecasting<\/li>\n
  2. only 10% are actually doing this at that moment.<\/li>\n<\/ol>\n

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    While the goal for each company is straightforward – trying to improve forecast performance with less effort spent by demand planning, sales, and marketing altogether – there is no one-size-fits-all solution that can do the job.<\/p>\n

    Do you want to improve your forecast performance and accelerate decision-making in the supply chain? Watch our video on driver-based forecasting!<\/p>\n