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SAG

Case Study: SAG Web App – AI-Driven Chatbot for Dealer Support

Overview

The client approached us to design a seamless and user-friendly web application that would enable SAG dealers to efficiently resolve customer issues using an AI-driven chatbot. The chatbot aimed to provide step-by-step troubleshooting guidance, minimize unnecessary escalations to John Deere, reduce operational costs, and improve overall service efficiency.

Challenges

  • Designing a chatbot experience that could effectively guide dealers through troubleshooting steps.
  • Ensuring the chatbot’s AI responses were clear, accurate, and actionable.
  • Reducing dealer dependency on John Deere’s support team.
  • Creating an intuitive and efficient UI for dealers with varying levels of tech familiarity.
  • Coordinating with the US-based client to align the UX with their vision and expectations.

Our Approach

1. UX Research & Understanding the Problem

  • Conducted interviews with SAG dealers to understand their pain points and service challenges.
  • Researched AI-driven support systems to ensure industry best practices were followed.
  • Analyzed the existing support process to identify gaps and inefficiencies.

2. Information Architecture & User Flow

  • Designed a structured user flow to guide dealers from problem identification to resolution.
  • Created a clear Information Architecture, ensuring that the chatbot provided logical, step-by-step solutions.
  • Integrated an escalation path only when necessary, reducing unnecessary support requests.

3. Wireframing & Prototyping

  • Developed low-fidelity wireframes to establish the chatbot’s flow and interactions.
  • Created a high-fidelity prototype for usability testing and client approvals.
  • Iterated on design based on dealer feedback and client inputs.

4. UI/UX Design Implementation

  • Designed an intuitive and clean UI, ensuring easy navigation for dealers.
  • Integrated interactive elements like quick reply buttons, troubleshooting checklists, and real-time assistance.
  • Ensured a consistent brand identity in alignment with SAG and John Deere’s guidelines.

5. Development & Testing

  • Worked closely with developers to ensure smooth chatbot integration.
  • Conducted multiple rounds of testing with SAG dealers to refine chatbot responses.
  • Ensured the web app was device-friendly and responsive for easy access across platforms.

6. US Client Coordination & UX/UI Presentation

  • Maintained regular communication with the US client for feedback and alignment.
  • Conducted UX/UI walkthroughs to explain design decisions and validate the approach.
  • Addressed concerns and made refinements based on client expectations.

Outcome & Impact

✅ Efficient Issue Resolution – Dealers could now resolve customer issues quickly without escalating to John Deere.
✅ Reduced Support Costs – Minimized unnecessary escalations, saving time and resources.
✅ User-Friendly Interface – Dealers found the chatbot easy to use, improving adoption rates.
✅ Faster Service Process – The structured troubleshooting steps led to quicker resolutions.
✅ Positive Client Feedback – The US-based client appreciated the clear UX/UI approach and seamless implementation.

Conclusion

By leveraging UX best practices and coordinating closely with the US client, we delivered a highly functional AI-driven chatbot within the SAG Web App. This solution not only streamlined dealer support operations but also enhanced service efficiency, making it a scalable model for future improvements.