Inspiration
Observing the drawbacks in the present relationship between customers and customer care executives. Customer care centres usually lack setting up of priority for follow up of customers which results to customer dissatisfaction.
What it does
Feedzap converts the customer's feedback on call to text and then performs sentimental analysis on it dividing it into various subcategories like happy, sad, angry etc. It thus helps in prioritizing which customer to follow up first thus leading to customer satisfaction.It also helps to keep a track of the customer care executives' performances.
How we built it
Challenges we ran into
Training the model, Finding appropriate dataset, improving the accuracy
Accomplishments that we're proud of
Providing elaborate analysis which can be accessed by anyone through android applicaton.
What we learned
Designing a good pipeline and working with wide range of technologies and their interconnection
What's next for FeedZap
Trying to improve the accuracy of the product.
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