IFB

1. Finding the Right Balance in Human-Like Conversations

One of the major challenges we faced was ensuring that the AI sales bot communicated with a natural, human-like tone. Although producing responses was straightforward for the AI, ensuring those replies consistently matched the intended tone and delivered a natural, engaging customer experience required deliberate fine-tuning and careful prompt adjustments.

2. Handling Customer Data Securely Across Multiple Touchpoints

With the AI chatbot interacting with customers over various digital channels, safeguarding sensitive user data posed a major challenge. Any gaps in securing these interactions could have compromised customer trust and regulatory compliance.

3. Enabling Multi-Modal Interactions Without Compromising Performance

IFB wanted users to interact with the AI sales bot not just through text but also via images and voice messages. Furthermore, enabling multi-modal interactions while making sure the chatbot is accurate and responsive was a complex task, to say the least. 

4. Ensuring Seamless Integration Across CRM, Web, and Mobile Platforms

Integrating the AI sales bot across different platforms—whether it was the CRM, web application, or mobile app—presented a significant challenge. Each system had its own architecture and data requirements, and ensuring that the AI chatbot could interact seamlessly across all these environments demanded precise data formatting, flexible integration methods, and consistent communication protocols.