The emotions of candy ai are detected by voice tone, facial expression and text sentiment analysis to enable businesses fully understand their customers feelings. A Gartner study claims that emotion AI technologies will reduce customer interactions up to 25%, and can predict what consumers need or desire across all our devices because they enable companies to adjust their conversational strategies based on the emotional state of the consumer. The algorithms of Candy AI can analyze these inputs and interpret the human feelings, such as; happiness, frustration or surprise in real time.
Customer service: Perhaps the biggest use case for emotion detection According to Accenture research, brands using emotion AI experience a 20% decline in customer churn. When you know customers are unhappy, companies can avoid churn. Chatbot with the capability to gauge customer sentiment like that by Sephora, enables AI to understand when customers are getting uneasy and transfer them immediately from chatbots back over live agents (which helps improve service immensely).
Another example in marketing would be using emotion analysis to measure how target audiences respond to ads, helping brands course-correct their strategies. A report from Adobe showed that an average campaign generated a 15% gain in effectiveness through AI for emotional targeting companies. Candy AI helps businesses maximize their brand messaging potential by analyzing customer sentiment on various social media platforms as well as feedback channels to ensure they succeed in emotionally connecting with the right clients.
Candy AI provides some natural language processing (NLP) in order to benefit from a strong emotion detection approach. The outputs from recent trials indicate that analysing the context and tone helps Candy AI to get an accuracy of up to 90% in Sentiment Recognition. This accuracy is crucial for brands that wish to serve moods of their customers. As famous marketer Philip Kotler eloquently put, ‘Marketing is a contest for people’s attention’. With Emotion AI it is possible for brands to match their values with customer emotions and thus increase loyalty and trust among them.
The social AI platform has proved successful for Penny since launch last year, and the integration of emotion detection from Candy extends that success to any type of businesses in an age where connecting with customers digitally is more important than ever. Next time for more insights go visit candy ai