Turn data into valuable insights, reduce emotion-driven pricing, automate your process and start utilizing innovative software to become a Hyperlearning™ organization.
There is so much data, in so many places, from so many different sources, that businesses struggle to analyze it. Such “fragmentation” keeps companies from using data effectively.
AI algorithms are usually only programmed to provide an answer based on the data they’ve learned. That is, we can see their conclusions, but most of the time we don’t know how they arrived at them. That limits our ability to improve AI when something goes wrong, as well as learn from the good decisions.
Data is one of the most valuable resources today’s businesses have. The more information you have about your customers, the better you can understand their interests, wants and needs. This enhanced understanding helps you meet and exceed your customers’ expectations and allows you to create messaging and products that appeal to them. How do you collect this data in an efficient way?SYMSON is aware of this challenge and focuses on Hyperlearning™, which explains the logic behind the pricing algorithm so that the user understands the outcome better. Collapse...
Switching to a single platform for your pricing such as SYMSON can lead to much more accurate predictions and better prices on all of your products. Every change is backed up by the data provided by you and this way you never have to wonder if you have made the right decision.
At SYMSON we are big believers in bringing the human- and machine perspective together. We like to try and build technology that gives organizations superpowers, rather than replacing them. This is why SYMSON makes sure that the logic of the AI is understood by the users. It may not be a black box.
With price automation software such as SYMSON prices can be changed by automatically. This can save valuable time that can be spent elsewhere and reduce the number of manual errors. Multiple factors can be taken into account such as competition and price sensitivity and customer behavior patterns.