


Discussion on technical solutions for real-time complaint handling by docking with DingTalk interface
Discussion on technical solutions for real-time complaint handling by docking with DingTalk interface
Overview
DingTalk, as an enterprise-level application platform, has rich interfaces and development capabilities, which can help enterprises achieve various Customized needs. This article will explore how to use the DingTalk interface to implement real-time complaint handling functions, and provide corresponding technical solutions and code examples.
Background
In modern society, all types of enterprises are faced with an increasing number of customer complaints. In order to better handle customer complaints and solve problems in a timely manner, many companies use application platforms such as DingTalk to build complaint handling systems. By docking with the DingTalk interface, real-time reporting, distribution, processing and feedback of customer complaints can be achieved, improving the company's service quality and customer satisfaction.
Technical Solution
- Create a complaint handling group: Create a group specifically for complaint handling through the DingTalk interface, and add relevant personnel to the group.
import requests def create_group(name, users): url = "https://oapi.dingtalk.com/group/create" data = { "name": name, "useridlist": users } response = requests.post(url, json=data) if response.status_code == 200: return response.json()['chatid'] else: return None
- Real-time complaint reporting: Customers can report their complaints to the complaint handling group in real time through the robot in the DingTalk group.
import requests def send_complaint(chat_id, content): url = "https://oapi.dingtalk.com/robot/send" data = { "chatid": chat_id, "msgtype": "text", "text": { "content": content } } response = requests.post(url, json=data) if response.status_code == 200: return True else: return False
- Complaint handling assignment: In the complaint handling group, administrators can assign complaint issues to the corresponding handlers.
import requests def assign_complaint(chat_id, user): url = "https://oapi.dingtalk.com/robot/send" data = { "chatid": chat_id, "msgtype": "text", "text": { "content": f"请{user}处理该投诉问题。" } } response = requests.post(url, json=data) if response.status_code == 200: return True else: return False
- Real-time complaint handling: Handlers can handle complaints in real time through robots in the DingTalk group and feed back the results to customers.
import requests def handle_complaint(chat_id, content): url = "https://oapi.dingtalk.com/robot/send" data = { "chatid": chat_id, "msgtype": "text", "text": { "content": content } } response = requests.post(url, json=data) if response.status_code == 200: return True else: return False
- Feedback processing results: After the processing is completed, the processing staff can feedback the processing results to the customer and close the complaint.
import requests def feedback_result(chat_id, result): url = "https://oapi.dingtalk.com/robot/send" data = { "chatid": chat_id, "msgtype": "text", "text": { "content": result } } response = requests.post(url, json=data) if response.status_code == 200: return True else: return False
Summary
By docking with the DingTalk interface, real-time complaint handling functions can be realized and the company's service quality and customer satisfaction can be improved. This article provides a set of technical solutions and corresponding code examples based on the DingTalk interface. Developers can customize development according to actual needs. At the same time, DingTalk also provides other rich interfaces and development capabilities, and you can choose the appropriate interface according to the actual situation to meet the customized needs of the enterprise.
The above is the detailed content of Discussion on technical solutions for real-time complaint handling by docking with DingTalk interface. For more information, please follow other related articles on the PHP Chinese website!

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