Request:
“Mediascope” approached us with the task of automating the process of marking advertisements from the Internet. Manual marking was ineffective and expensive. It was necessary to significantly reduce the time spent by specialists and show a high ROI.
Solution:
We analyzed the process and identified a list of the highest priority automation options. Then we implemented each hypothesis programmatically, introducing developments into the work of operators already in the 2nd sprint. The final process showed the required ROI.
Strengths of the team:
“Mediascope” approached us with the task of automating the process of marking advertisements from the Internet. Manual marking was ineffective and expensive. It was necessary to significantly reduce the time spent by specialists and show a high ROI.
Solution:
We analyzed the process and identified a list of the highest priority automation options. Then we implemented each hypothesis programmatically, introducing developments into the work of operators already in the 2nd sprint. The final process showed the required ROI.
Strengths of the team:
- Deep analytics of the business process taking into account AI approaches allowed for ML transformation.
- Used more than 5 human-in-the-loop automation approaches to complete target tasks.
- Implementation of the ML model into the business process in the first sprints and positive ROI from implementation
