Banorte wanted to improve the attention given to their customers, making the information personalized, relevant and updated and delivering it through a smart algorithm capable of understanding queries and solving common problems.
Our team proposed a robotics solution with our mobility component for it to be able to approach the clients, the natural language processing module to be able to interact and the robotics vision module to identify the customers and other objects .
We built a robot capable of interacting with people who are on site through autonomous navigation, we trained the algorithm to be able to solve doubts and attend to different people and we connected it to the financial institution's Legacy systems so that it could access the users'; information and thus could solve particular problems in addition to providing relevant information for them.
An agile assistant capable of solving problems of multiple clients in order to improve branch efficiency and the attention given to the users. The robot can solve common problems so that clients do not have to wait to be attended by an account executive if their problem does not require it and helps to speed up the processes by providing personalized information about the problems and solutions of the different users.