AI Recommendation is a new feature in the robot training environment that accurately selects data on websites, helping users reduce human errors and save time in robot training.
AI recommendation
Platform Context
Robot Studio is a robot training environment within Browse AI where the user can easily train the robot to extract specific data and monitor changes. It offers step by step guidance for the user to easily select data and label the data for the robot to track those data in the future.
Project Context
AI Recommendation allows users to follow the simplified training by accurately selects data within websites, automatically labels datasets, and defines pagination—reducing errors in areas where manual selection and our platform typically struggle, and emphasize the product value of ‘ease of use’.
By using the AI technology in the right way, we are able to increase task completion rate, reduce user time in training and for us to reduce human errors that ends up decreasing the time of Customer Support.
My Role
Lead Product Designer - Brainstorm Session, Research, Wireframe, User Flows, High fidelity design, Prepare assets, Dev Handoff, Further design iteration
Collaborated with 1 Product Manager and 3 Engineers.
Timeline & Status
2.5 months, Launched in May 2024
The easiest way to extract and monitor data from any website.
This is one of the key value Browse AI have. In order for us to continue reach that point, we were on a journey to continue iterating the current experience in the robot studio where we emphasize ‘ease of use’ with increasing robot completion rate with higher success.
SNEAK PEEK
Final Experience + Impact
Automated Pagination
By automatically selecting the pagination and also enhancing the visualization of the each options, it reduces the complexity of choosing the pagination which decrease the overall error states and CS human support work.
Recommended datasets
Instead of manually selecting data sets, users now can receive AI recommended datasets to help them reduce time of data selection and labelling datasets.