This webinar will be co-hosted by our partner Knoldus.
Demand forecasting is a solution used to predict retail product demand. Based on the influence and analysis of market factors and on the past demand for the product or service, order demand forecast is realized on the basis of data science.
There are four main challenges that demand planners face in the market today:
- Limitations identifying hidden trends and dependencies
- Challenges in collaboration between data scientists and different business layer people on making decisions for end prediction or forecasting results
- Overcoming potentially less accurate results from using a single model for all operations - many existing tools use a single model for all time series, for example
- Less scalability - some of the existing tools only allow a limited amount of data, or have scalability issues with large data
In this webinar, you’ll learn how our application can overcome these challenges and how you can create different solutions for demand forecasting for different products/items using guided analytics.
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Absolutely - fire away!
Download the latest free, open source version of knime here: knime.com/download