The document discusses a case study of a chatbot implemented in the banking industry in India to alleviate customer service pressures from simple queries. The chatbot features multi-language support, voice command capability, and operates on various platforms, effectively reducing staff workload and enhancing productivity. The methodology involves understanding business requirements, designing the solution, and deploying it within the existing system.

1. Chatbot
Case Study

2. Chatbot
Customer Detail
Problem Statement
Challenges
Industry - Banking
Location - India
The team was having issues with customers flooding
their helpline for simple queries and wanted to
improve the customer experience.
1) Lack of viable data.
2) Understanding the regional customers
queries.

3. Technology
MySQL Google Assistant NLP

4. Solution
Business Impact
● The developed chatbot could answer simple FAQ’s.
● It has multi-language support.
● It can predict what customers are looking for according
to keywords.
● It is simple to operate and has a user-friendly UI.
● The system has voice command control and can
understand voice commands.
● Multi platform deployment on Google Assistant,
Whatsapp, Website, Messenger, and Slack.
The chatbot solution helps to reduce workload on the bank staff as
it performed simple tasks on itself and saved time to improve
productivity.

5. Our Methodology
Understanding
Requirements
Designing Solutions
Deployment
We understand your
business goals, and get
acquainted with all the
necessary details.
Our team of experts,
starts building solutions
to deliver your business goals.
Once complete
solutions is ready
then we deploy at
your core system.
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2
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6. Thank You
Chirag Tank
Co-Founder & CEO
Jitendra Purohit
Co-Founder & COO
+91 9820080751
+91 7021980537
chirag.tank@datenwissen.com
jitendra.purohit@datenwissen.com