The Background
The client wanted a digital channel that could understand customers at different stages of the sales cycle and guide them toward the right service without requiring every interaction to start with a human support agent.
Case Study
Fintech Chatbot
Fintech chatbot case study covering lead generation, KYC onboarding, customer support, virtual assistance, deep learning, NLP, and customer engagement outcomes.
The client was a microfinance services company that needed an automated solution to handle customer interaction online.
The system needed to support different stages of the customer journey: prospective leads, new customers, enrolled customers, and support users.
MAQ Approach
MAQ proposed and developed a chatbot for lead generation, customer onboarding, customer support, and virtual assistance. The bot can collect prospect details, explain products and services, support account and transaction questions, and transfer control to a human agent when escalation is needed.
Lead Generation and Onboarding
For lead generation, the bot gathers details such as email, contact number, and first name while sharing product and service information. For onboarding, it automates parts of KYC by extracting ID card content and cross-matching facial information with the image on the card.
Technology
The chatbot solution used Python, a custom framework, deep learning, and NLP algorithms to understand customer requests and support automated service workflows.
Results
The chatbot increased customer interaction, produced more leads, improved the rate of new customer registration, increased customer satisfaction, and helped generate new business from existing customers.
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