80% immediate response from prize winners through AI-driven selection from thousands of campaign entries
Read moreOur solution,
Harman wanted to make the selection process for international prize campaign entries fairer, more consistent and scalable. Manually reviewing thousands of entries took a great deal of time and did not always result in a fair, sound assessment. We therefore developed a data-driven selection process using GenAI and LLM technology to assess entries objectively and reproducibly. This allows large numbers of entries to be selected in the same way, while saving the marketing team considerable time and making it easy to scale campaigns for a growing international fanbase.
Cases
View other case studies too,
More examples of what data and AI make possible in practice.
What do you want data to do?
Message sent
Thanks for your message. We’ll be in touch as soon as possible.