Case Study
Published on 28th November 2021 | By Zenus
For
A Fortune 50 brand
Tags
Customer Data
Data Analysis
Automated Insights
Behavioral Analysis
Ethical Facial Analysis
A Fortune 50 brand wished to predict how its new product would perform before actually taking it to market. To this end, the R&D team required:
- Accurate and unbiased feedback from focus groups
-
An automated data review process to save weeks of manual labor
The team partnered with Zenus to extract sentiment data from focus groups and customer interviews. The participants included five female and a male millennial consumer.
The Zenus system analyzed the faces of the participants to produce positive sentiment analysis and more. The results offer the full picture about people's behavior in the below reports:
- A video with face annotations and sentiment scores for each person
- A CSV file with the sentiment scores for each person
- Dashboard access to view the detailed graphs
Accelerated launches with 80% faster review and richer insights
Reduced failed launches saving up to $15M cost for each prevention
For
Procedure digitization
Machine downtime
Manufacturing
Connected machines
Automotive
For
Industrial automation
Real time monitoring
Manufacturing
Machine utilization
Automotive
For
