Use numbers and categories to make predictions about continuous outcomes with Tabular data regression

Below are a few selected use cases to illustrate how you can benefit from Tabular data regression in your projects.

AI for customized dynamic pricing

Using AI for dynamic pricing is an opportunity to turn a complex business environment into an advantage, while retaining appropriate profit margins on all products. This is especially true for products with complex pricing models and high levels of individual customization such as insurance.

Using AI for sales forecasting

In virtually every decision they make, executives today consider some kind of forecast. The use of deep learning to predict sales allows for deeper insight and increased accuracy from more complicated input data.

Using AI for item valuation in the insurance industry

By leveraging deep learning in valuation processes, insurance companies can efficiently and instantly analyze images, details provided and combine those with historical data of past valuations.

Need help finding your business case?

Johan Hartikainen
Sales Lead
Peiman Momeni
Sales Lead