Forecasting: Modern AI-driven collaborative forecasting

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.

However, 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
Less scalability - some of the existing tools only allow a limited amount of data or have scalability issues with large data.

In this eBook, you will understand how the Guided Analytics application combines just the right amount of automation and interaction for a specific set of problems.

Our solution to an interactive Forecasting system assists the business analyst in their quest to find new insights in data and predict future outcomes by generating more useful analysis, easily generate single visualizations, as well as an interactive dashboard to explore complex data.