Roonyx

Four Consultancy hired Roonyx for marketplace design & development work.

They developed a new marketplace with several types of users, admin panel, filters, integrations, UX and provided us with a lot of valuable information during prototype testing and after the MVP launch. Their input allowed us to change some business processes and change the initial marketplace vision. When the Alfa-version of the marketplace launched, the number of transactions increased up to 1000 approximately from 10; the number of registered users amounted to about 18000 in a month.


I like the work approach of the Roonyx team and I enjoyed the fact that there was one point of contact for me during all the project development. Their product owner provided us with the daily reports, responded very quickly. At the same time, I could ask any questions to their technical experts. That’s great.

We don't have any big tasks or projects to work on right now, but if we do, we'll definitely continue to work with Roonyx!

I work in a large international oil & gas company with a complex, hierarchical structure and about 300,000 employees. With that many employees, our HR and accounting departments have to handle a large number of repetitive requests. To free them up from these administrative tasks and enable them to invest these time resources into vital projects, we elaborated on the possibility to automate such requests. In addition to these internal requests, we are also organizing large conferences on a regular basis. To facilitate a smooth organisation of these events, a large number of admin staff are required to answer basic questions related to schedules and travel itineraries. To solve both problems with one solution, Roonyx proposed an NLP chatbot based on artificial intelligence.

Roonyx has developed a chatbot that enables employees to get responses to typical organizational questions, to request documents, to book courses and training by themselves.

The chatbot facilitates artificial intelligence to classify the question and to propose the most appropriate answer. With every interaction, the chatbot learns whether the provided answer was perceived as sufficient or not. That way, we ensure that the chatbot continually improves its functionality and classification algorithm.

The implementation of the chatbot reduced the monthly requests to the HR department by approximately 50% and the ones to the accounting department by 15%.