This is a process to manage inquiries from receipt of (Outlook) emails to the response.
When an inquiry is received, the AI filters out spam and paraphrases the email text to an easily digestible summary.
The contact person assigns an appropriate responder based on the summary.
This process manages the progress of inquiries from receipt to response.
After receiving an inquiry, the AI (Microsoft Azure OpenAI Service = AOAI) automatically creates and sends a primary response email.
The person in charge will then create and send the response to the inquiry.
This is the business process of accepting and responding to inquiries. The AI determines the priority (high, medium, or low) in consideration of urgency and importance. The contact person can decide the order of response based on the priority level.
This process manages the progress of inquiries from receipt to response.
After receiving an inquiry via a web form, a summary of the inquiry is automatically generated by AI (ChatGPT).
The person in charge reads the content of the inquiry with reference to the summary and prepares a response.
This is a process to manage the progress from the receipt of a mail (Gmail) inquiry to its response. When an inquiry is received, AI classifies the purpose of the inquiry. In case of spam email, the inquiry response will be terminated without a response.
This process centrally manages the handling of enquiries from web forms and telephone calls.
Web forms are accepted via Microsoft Forms / Google Forms. After acceptance, the operation starts automatically.
The contact leader can decide who will handle the enquiry.
This process centrally manages everything from receiving enquiries to sending responses.
The work process starts automatically as soon as an enquiry is received via an open web form.
The enquiry leader can check the content and decide who will respond to the enquiry.
This process manages everything from receiving enquiries to answering them. Based on the content of the enquiry, the AI decides which department will advise on the response, which is then automatically requested. The contact person responds based on the advice.
This process manages the inquiry form from reception to response. The enquiry text in English is automatically translated into Japanese and sent to the enquiry desk. The person in charge prepares a draft response in Japanese and uses the AI’s English translation as a reference.
This is a process that centrally manages everything from receiving inquiries to sending responses. After receiving the web form, AI will check the received content. If the call is determined to be a sales call rather than an inquiry, the caller will be assigned a different task from normal response.
This process manages the progress of an inquiry from receipt to response.
The response person is automatically allocated according to the product inquired about.
The assignment is based on a master table in Excel Online.
This process manages the progress of an enquiry from receipt to response.
When an enquiry is received on a specific Slack channel, the workflow is automatically initiated.
When the person in charge creates a response, the response is automatically posted to the Slack channel where the query was received.
This process centrally manages the process from receipt of queries via web form to response.
After drafting a response, the person in charge can request an improvement review from ChatGPT if necessary.
The response is completed based on the review results, and is then sent back to the enquirer.
This is a workflow in which several interactions are recorded in one place until the query is closed. The correspondence and attachments are stored in chronological order. Attachment names are recorded with the date and time appended at the beginning.
This is a centrally managed process for handling inquiries from web forms and phone calls.
The system accepts queries from Microsoft Forms / Google Forms.
After the response is complete, the data is automatically uploaded to SharePoint Online lists (Microsoft Lists) via Power Automate.
This is the process for reporting work problems for field engineers. The problem report will be submitted in a public form. The accepted engineer ID is used to determine whether the engineer is legitimate or not. At the same time, attributes such as email address and phone number are obtained.
This is a process to centrally manage responses to inquiries via web forms and phone calls.
After receiving an inquiry, a draft of the inquiry response is automatically requested to the AI chat (ChatGPT).
The person in charge uses the draft to create a response text.
Accepts an information request via the webform and registers customer information after sending the catalogue. After checking the contents of the web form entry at the [Confirmation / Judgement] Step, a Cover Sheet PDF is automatically generated. Also, the customer information is registered in the database (kintone) after the catalogue is shipped. If it is necessary for a sales representative to respond promptly, it proceeds to the [3. Undertake / Recording of result] Step.
Accepts questions and designates personnel to create the answer. After receiving a question via a web form or email, the person responsible for preparing the answer will be appointed at the Step [2. Jurisdiction to answer]. Answers are drafted by AI, and person responsible completes it. At the [5. Reviewing terminology and legal] Step the content of the answer is checked, and if approved it will proceed to the following Step.
Extracts one user from the members of Qorg randomly and sets that user in the Quser data. It is also possible to exclude specific users from the extraction target. If there are no candidates in the population, an error will occur.
Extracts one user from the members of Qorg in order using a round robin method and sets that user in the Quser data. It is also possible to exclude specific users from the extraction target. If there are no candidates in the population, an error will occur.