March 29, 2025
Client Case Study

Case Study: We Can We Will Foundation: Achieving 70% agent workload reduction through Smatbot’s WhatsApp chatbot.

  • March 24, 2025
  • 3 min read
Case Study: We Can We Will Foundation: Achieving 70% agent workload reduction through Smatbot’s WhatsApp chatbot.

About We Can We Will Foundation

We Can We Will Foundation is a non-profit organisation with a group of passionate individuals. The organisation works to improve the lives of underprivileged children through education and social welfare initiatives. Their mission is to reduce illiteracy, fight hunger and create equal opportunities for children in need. With the help of dedicated educators and volunteers they aim to give every child hope for a better future by providing quality education.

However, they faced a major challenge of resolving user queries by phone calls.  Therefore, to streamline and automate their inquiry process, the organisation integrated Smatbot’s chatbot solution which enables faster and more efficient communication.

Hence, in this case study, we will explore how We Can We Will Foundation implemented SmatBot into their operations, discuss their key use cases, the challenges they faced and the outcomes they achieved.

Challenges Before Implementing Chatbot

Before implementing our chatbot solution, the foundation faced several challenges:

 

  • The organisation had to handle every inquiry via phone calls which made the process difficult.

  • Handling repetitive common queries consumed their valuable time and resources.

Solution Implemented

We Can We Will Foundation integrated Smatbot’s chatbot solution to streamline their customer interactions. Our chatbot provides 24*7 instant support, allowing users to resolve their inquiries without requiring human involvement.

Key Criteria While Evaluating SmatBot 

  • Smooth and responsive interface for an easy user experience across devices.
  • 24*7 accessibility to ensure support availability anytime.
  • Simplified navigation so users can quickly find relevant information.

Outcomes of the Solution

After integrating Smatbot, it significantly improved the efficiency of customer interactions and operational workflow.  Below are the results achieved after implementing our chatbot solution:

 

  • 25% Increase in Volunteer Engagement – Our chatbot’s quick responses encouraged more people to connect with the organisation.

  • 70% Reduction in Agent Workload – Employees can now focus on complex queries while the chatbot manages routine inquiries.

  • Remote Accessibility – Our chatbot enables the client’s team members to handle inquiries from virtually anywhere which significantly improves flexibility and accessibility for employees. Additionally with chatbot implementation, the client’s support team can easily monitor and respond to queries remotely, ensuring seamless and uninterrupted communication.

  • 24*7 Availability – SmatBot helped them maintain consistent customer service quality,
    even during off-hours.

Client Testimonial

“By implementing the chatbot, we have optimised customer support operations, providing both customers and employees with an efficient, accessible, and reliable system for managing inquiries. The chatbot has become a key asset for our business, and improved customer satisfaction, and overall growth in client engagement.”

 

  • Suyash Pawar, Senior Coordinator, We Can We Will Foundation

Final Words

SmatBot’s implementation at the We Can We Will Foundation has proven to be a game changer for them. The organisation experienced better customer experience and improved user relationships when they leveraged automated chatbot solutions. SmatBot has efficiently optimised their customer support operations, freeing their support team for complex tasks. AI chatbots are the future of customer support services.

So what are you waiting for? Try SmatBot now.

About Author

Namita Shrivastava

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