AI-powered deep customer insight system
Omnichat's Customer Analytics module utilizes three core technologies:
- Real-time portrait constructionParsing chat content through BERT model and automatically labeling customer attributes (e.g. "price-sensitive", "loyal fans"), currently supports more than 50 labeling dimensions.
- Cross-platform ID mappingEven if a customer switches to WhatsApp after consulting on Facebook, the system can link the behavioral trajectory via cell phone number/email.
- predictive analytics: Predict the probability of customer purchase based on historical data (e.g., customers who browse sneakers 3 times have a 78% likelihood of placing an order within 7 days), with an accuracy rate of 92%
This data is visualized in the management backend, such as a heat map showing the distribution of customer concerns. An electronics vendor used this to increase personalized recommendation accuracy by 401 TP3T and reduce redundant customer service inquiries by 251 TP3T.
This answer comes from the articleOmnichat: The AI tool that integrates multi-platform chat to boost sales and serviceThe
May not be reproduced without permission:AI productivity tools " What specific technology applications are included in Omnichat's Customer Behavior Analytics feature?
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