Personalized Service with Time Context

Personalizing customer service is increasingly valued. The ChatGPT, with its flexibility and intelligence, allows you to create personalized interactions based on the time the chatbot is accessed. This feature makes it possible to tailor messages and behaviors to improve the user experience, especially on platforms like Sprinthub. Let's explore how this functionality works and what its benefits are.

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Why consider the service time?

The service time directly influences the user's expectations. During business hours, people expect an objective and quick response. Outside business hours, it is possible to convey messages in a more relaxed or informative way, indicating future availability.

This approach not only improves the customer experience but also helps manage demands more efficiently.

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How is the time captured in ChatGPT?

When starting ChatGPT, the system can automatically capture the user's or server's local time. Based on this data, the chatbot adjusts its tone, message, and behavior.

Implementation example in Sprinthub:

1. Time identification: At the start of the interaction, the chatbot checks the current time based on an API or the system configuration.

2. Context definition: The time is used to define pre-configured responses for different periods of the day:

   • Within business hours (8am-6pm): "Hello, good morning/afternoon! We are ready to help you. How can I assist you now?"

   • Outside business hours (after 6pm): "Hello! At the moment, we are outside business hours, but don't worry. Leave your message and we will get back to you as soon as possible."

   • Night hours (10pm-6am): "Hi! I noticed it's quite late. If your message is urgent, indicate it here and we will contact you at the start of the next business period."

3. Contextual messages: Besides responding according to the time, the chatbot can suggest different actions, such as:

   • Scheduling service at the next available time.

   • Sending useful information for self-reference.

   • Redirecting to relevant materials or FAQs.

An example of contextualization:

Morning (6am to 12pm):
"Good morning! Great to have you here so early. We are ready to help with whatever you need. How can I assist you today?"

Afternoon (12pm to 6pm):
"Good afternoon! I hope your day is going well. Tell me how I can help you now to ensure everything goes as smoothly as possible."

Evening (6pm to 10pm):
"Good evening! We are available to help you. Even at the end of the day, we want to ensure you have the support you need."

Late night (10pm to 6am):
"Hello! I noticed it's quite late. At the moment we are outside business hours, but you can leave your message and we will ensure it is addressed as soon as business hours resume."

Result:

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Advantages of time-based personalization

1. Smoother experience for the customer: The user feels well attended to even outside business hours, knowing that their message will be handled at the appropriate time.

2. Efficient demand management: Companies avoid unrealistic expectations of immediate responses during times of lower availability.

3. Greater engagement: Contextualized messages make the support more human and approachable, creating a better connection with the customer.

4. Automation and organization: With predefined messages, teams can organize tasks and prioritize requests received outside business hours.

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Conclusion

Integrating time capture into ChatGPT is a simple and effective strategy to offer more human and efficient support. On Sprinthub, this functionality can transform the user experience, automatically adjusting to the needs and expectations of each time of day.

If you want to implement this feature on your platform, explore the settings available in Sprinthub and start offering personalized interactions now. 🚀