Webinar: Demand Forecasting in Retail & Manufacturing

Thursday, 11.04.2024 | 14.00 – 15.00 hrs

 

Do you use AI to predict future sales or demand?

Sales forecasts are an important part of corporate management and play a crucial role in production, purchasing and logistics planning. However, traditional methods are often inaccurate and lead to over- or understocking.

 

AI and machine learning forecasts have never been so easy!

Today, AI is able to provide precise demand forecasts, which leads to more efficient production planning and cost savings. By using our AI demand forecasting solution, we not only enable our customers to make precise predictions for production planning, but also for sales management, purchasing optimization and the optimization of inventories and deliveries. The result is a significant improvement in the entire value chain. In addition to state-of-the-art AI algorithms, the inclusion of external data is also a decisive success factor for optimizing the quality of forecasts. In our webinar, you will gain an insight into the latest developments in the field of AI-supported forecasts and how you can use them independently with little effort.

In a compact 45-minute session with Dr. Timo Klerx and Michael Danninger, we will present the demand forecast solution from AI.S² and paiqo, followed by a QA session.

 

Agenda:

  • Why predict demand with AI?
  • Examples from the manufacturing industry and retail
    (machinery/high-tech sector)
  • Search for the right data to forecast the sales volume (ERP, CRM, GDP, CECE, …)
  • Start small and deliver quickly
  • Predictability check: Is your data ready for demand forecasting with AI?
  • Q&A session

Speaker

Dr. Timo Klerx

Chief Data Scientist, Founder paiqo GmbH
Timo is the founder and Data Scientist of and at paiqo and helps customers with the conception and implementation of projects in the field of Artificial Intelligence / Data Science / Machine Learning. Timo’s first contact with AI was in a research project on automatic ATM tamper detection. Before founding his own startup, he gained experience at another data science startup, where he focused on the area of machine analytics incl. Use cases such as predictive maintenance and predictive quality. Timo is also involved in various data science meetups in Paderborn, Münster and throughout NRW.

Michael Danninger

Managing Director AI Software Solutions GmbH – AI.S²
Michael is co-founder of AI Software Solutions together with paiqo and is responsible for development and business development. He has many years of experience in product development and has been working in the field of BI and analytics for decades.

User friendly UI

The latest AI technology

High forecasting accuracy

Industry-specific templates

Scalability

Cloud availability