Omnichannel Customer Sentiment Engine
Feedback came months late. The brand was launching products that missed the current cultural moment.
A high-end brand wanted to understand the 'vibe' of their customers instantly, moving faster than quarterly surveys.
•High-value clients
•Brand perception
•Fast fashion cycle
Social Listening
Scraping Instagram, TikTok, and X for brand mentions and visual trends.
Voice Analytics
Transcribing call center logs to find pain points.
Trend Predictor
Correlating sentiment with sales data to forecast next season's hits.
1
Irony/Sarcasm
Training NLP to understand the nuance of Gen-Z fashion language.
2
Privacy
Anonymizing customer data before analysis.
24%
increase in marketing campaign conversion rates
Identified
a viral product defect 2 weeks before standard reports
30%
reduction in customer churn
Real-time
brand health dashboard for the C-Suite
We deployed a real-time Sentiment AI. It listens to the internet and internal support channels. It tells the design team what colors and styles are trending up and warns PR teams of bubbling crises.
PythonHugging Face TransformersBertElasticSearchReact
