About this event
Accurate demand forecasting is a key business need as many processes from Production, Staffing and Marketing to Supply and Logistics require proper ahead planning. Usually, many factors about product, price, advertising, location, and season are considered by common forecasting models. However, the local weather is often neglected, although it has a decisive influence on consumer behaviour.
Including weather in demand forecasting optimizes your forecast accuracy and avoids costly planning errors such as out-of-stock situations, expensive overproduction, high returns or unnecessary waste.
In this webinar, [at] and METEONOMIQS join forces and show
The event takes place online. Registration is free.
Stefan Bornemann is COO of wetter.com, the leading weather offering in Central Europe. Focus of his work is METEONOMIQS, wetter.com’s data unit serving customers with business products and solutions using wetter.com’s large expertise in weather and geo data.
Jose Manuel holds a PhD in Artificial Intelligence and has been working as a Data Scientist for the past 10 years focusing on forecasting, deep learning and complex optimization problems for the retail, manufacturing and electricity industries.
Jörg Bienert is Partner und CPO at the Alexander Thamm GmbH, a leading provider of artificial intelligence, data science and big data in the German-speaking world. Furthermore, he is founding member and president of the KI Bundesverband, the German AI association.
Als Data & AI Experten unterstützen wir Sie auf Ihrem Weg zur Digitalisierung. Gemeinsam generieren wir Mehrwerte aus Ihren Daten durch den Einsatz künstlicher Intelligenz.
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