Problems Our Client Faced
· High volumes of customer queries
· Long wait times to respond to a query.
· Business growth became stagnant due to high customer service costs.
A fintech startup weren’t able to respond to customer queries on time. This delay made their customers unhappy. Additionally, their support team was getting tired of answering the same questions multiple times.
They contacted us to develop an AI chatbot through our custom AI solutions. NLP, machine learning, and AI have been used to develop their chatbot. It has the ability to reach customer information and provide a tailored response to the individual customer.
Fintech
Custom AI Solutions
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We made a list of common queries that customers asked. We identified the questions that could be automated by the chatbot.
Our developers trained the chatbot to converse in a human-like manner. We also added common fintech terminologies and used NLP to understand user intent
The chatbot was then added in the client’s existing CRM. We tested the chatbot to ensure the continuous flow of information.
When all the responses of the chatbot were tested and improved, we deployed it to the CRM of the client
· High volumes of customer queries
· Long wait times to respond to a query.
· Business growth became stagnant due to high customer service costs.
We had to ensure that the chatbot was using these finance terms correctly. Multi-layered verification was added to catch errors. Sensitive queries had to be flagged for human reviews.
Training the chatbot to understand the user’s intent required continuous training. We had to train the chatbot to improve the recognition of intent and context.
Connecting the chatbot without disrupting the existing workflow was difficult. Custom APIs were designed to sync customer data in real time.
60% faster in response times and providing customers with an instant answer.
· 15% improvement in customer satisfaction scores due to accurate responses.
· 40% of routine tasks were automated with the AI chatbot.
