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Med oss får du en engagerad partner med lång erfarenhet av integration, försörjningskedjor och logistikprocesser. Men vi stannar aldrig vid analys och rapporter. Du får också starka resultat i praktiken. Vi kallar det Supply Chain på riktigt.
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Forecast quality has always been seen as a determining factor for effective planning. Meridion has run projects in the area since 2005. In connection with the financial crisis in 2009, the need to increase awareness was identified and both national and international projects were carried out to contribute to increased knowledge in the area.
One of the deliverables was the FAI application. In 2018, the topic was included in a project together with Chalmers and eight companies in the automotive industry. The FAI application was developed and is now delivered in Qlik Sense with connections to predictive analysis.
The application allows suppliers to measure the forecast accuracy in delivery plans for their customers. With Machine Learning, the user is provided with a direct insight into the forecast precision of the delivery plans with the help of both historical and future data.
The KPI’s FAI and WTS are central in the application, which is an international Odette standard in the Automotive Industry. WTS describes how the forecast systematically falls above or below estimated need, while FAI describes the percentage of the deviation. Since the data is transferred via EDI, the app can be used with various ERP systems.