LOOQME sought to integrate PR insights with business intelligence for smarter decision-making. However, traditional methods led to slow, inaccurate analysis of broadcasting in Romanian and Slavic languages, hindering their brand tracking. This lack of reliable data was a major obstacle in the dynamic PR industry, where accurate brand tracking mentions is key to success.
LOOQME's collaboration with Vatis Tech, known for its advanced speech-to-text technology, significantly improved the analysis of multilingual TV broadcasts. The integration process into the LOOQME system was smooth and user-friendly, thanks to Vatis Tech's accessible API documentation.
This partnership enhanced the efficiency and accuracy of LOOQME's workflow, particularly in transcribing Romanian and Slavic languages.
Accurate transcription of Romanian and Slavic languages broadened LOOQME's analytical capabilities.
Automated transcription significantly reduced analysis time, freeing resources for strategic insights.
Improved accuracy in tracking brand entities led to better strategic decision-making compared to previous methods. Reliable data enabled more precise brand tracking assessments.
Accurate data enabled better strategic decision-making for LOOQME’s clients.
Optimized workflow reduced operational costs, creating a competitive advantage.
Building on the success of this collaboration, LOOQME aims to further improve Slavic languages transcription accuracy to above 90% by providing Vatis Tech with more broadcast data to refine the technology.
LOOQME revolutionized its PR monitoring processes by integrating advanced speech-to-text technology. This streamlined their multilingual analysis, significantly improving the speed, accuracy, and depth of their brand tracking analysis. The result? A clear competitive advantage and more cost-effective services for their clients.