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| **1. Which departments or teams will primarily interact with or benefit from the chatbot implementation?** | |
| Our customer service team and IT department will primarily interact with and benefit from the chatbot. | |
| **2. What specific key performance indicators (KPIs) will you use to measure the success of the chatbot project?** | |
| Reduction in average response time, decrease in live agent workload by 30%, and an increase in customer satisfaction scores by 20%. | |
| **3. Can you provide examples of the most common customer inquiries that the chatbot should handle effectively?** | |
| Order status updates, commonly asked questions (how to refund, menu information), store locations, operating hours, and basic complaint redirection (guiding customers to the appropriate channels). | |
| **4. What platforms or tools need to integrate with the new chatbot solution (e.g., CRM, ERP, etc.)?** | |
| Our CRM system, existing ZUS app, third-party delivery app APIs (Grab, ShopeeFood, FoodPanda), and Zendesk ticketing system need to integrate with the chatbot. | |
| **5. What data security or compliance requirements must the chatbot solution adhere to?** | |
| The chatbot must comply with the Personal Data Protection Act (PDPA) of Malaysia and ensure all customer data is encrypted during transmission and storage. | |
| **6. What is your allocated budget range for the chatbot project?** | |
| We have allocated between MYR 50,000 to MYR 150,000 for the development and implementation of the chatbot. | |
| **7. Are there any preferred vendors or technologies you wish to use or avoid for this project?** | |
| We prefer using AI solutions compatible with our existing CRM and Zendesk, and aim to avoid proprietary platforms that do not integrate easily with our systems. | |
| **8. How is your customer service team currently structured, and how will their roles change with the implementation of the chatbot?** | |
| We have 50 customer service agents handling inquiries; post-chatbot implementation, they will focus more on complex issues and in-store support. | |
| **9. What timeline are you envisioning for the chatbot project from initiation to full deployment?** | |
| We aim to have the chatbot fully deployed within six months from the project start date. | |
| **10. How do you currently handle customer complaints that cannot be resolved by your support system, and how should the chatbot manage such cases?** | |
| Currently, unresolved complaints are escalated to senior staff via Zendesk; the chatbot should seamlessly transfer these cases to live agents within Zendesk with all relevant information. |