TaiwanTechnology and telecom2025 – ongoingGogolook
Automated multilingual phone-number labeling
Gogolook cut phone-number labeling time by 16% with generative AI
Problem
Employees manually labeled phone numbers that Gogolook's database could not label automatically. Expanding across languages increased the work required.
Approach
Gogolook integrated Amazon Bedrock models into its data pipeline for Whoscall. The models replaced the remaining manual labeling workflow and generated consistent labels across languages.
Results
Takeaway
Gogolook reduced time spent maintaining its phone-number labels by automating a task previously assigned to employees.
Categories
- Industry
- Technology and telecom
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
AWS described Gogolook's replacement of manual phone-number labeling with generative AI. It reported a 16% reduction in labeling time. The page carries no date; the Internet Archive first saved it on November 10, 2025.
Full details are in the original sources.
