Time
1 year
Location
USA
Sector
SEO industry
Description
The client, operating an SEO company, aimed to streamline and automate the process of optimizing paid advertisements. Previously, this task consumed one to two weeks of manual effort. The objective was to minimize the manual workload while preserving the existing business processes.
Solution
In response to this challenge, we conducted extensive research and exploration of various natural language processing approaches. This led to the development of a unique, large-scale architecture. The solution included the implementation of a custom named-entity recognition service, key phrase extraction, and clustering optimization techniques.
Results
The implementation of this solution yielded substantial benefits for the client. They were able to drastically reduce manual work, freeing up valuable human resources for other tasks. Furthermore, the automated system allowed for the identification and rectification of errors that were previously present in manually created results. This not only improved efficiency but also enhanced the accuracy and effectiveness of their paid advertisement optimization processes.