Mobile Auto Repair AI Scheduler
The Mobile Auto Repair AI Scheduler is a template powered by Momen AI 2.0. It enables your AI agent to assist customers in identifying car issues and seamlessly scheduling repair appointments.
Last updated
The Mobile Auto Repair AI Scheduler is a template powered by Momen AI 2.0. It enables your AI agent to assist customers in identifying car issues and seamlessly scheduling repair appointments.
Last updated
This template follows a simple process. When a customer starts a conversation, the assistant AI helps identify the car issue and provides a cost estimate. After that, the scheduler AI books the repair appointment in the vendor’s calendar.
Only staff members can access and log in to the dashboard. You’ll need to assign the necessary permissions in your project settings. Details are provided below.
Below is the basic data model setting in this template.
The relation between car maker and car model is 1:N, because one brand could have multiple car models. The relation between repair category and repair item is 1:N because one category could have different issues. Based on the car model and repair issues, a cost estimate is generated.
Here’s the business logic behind the template, which you can also view as its workflow. This template includes two AI agents: a customer service agent to record user car issues and a scheduling assistant to book appointments in the vendor's calendar.
Customer Service
This is the logic of the customer service AI. It primarily operates during the conversation. As the conversation progresses, the data table updates in real-time. Car models and locations are recorded as the user selects them, while the AI assesses and updates the car’s issues.
Scheduling Assistant
This agent operates after an order is created, handling the task of scheduling the event in the vendor's calendar.
The following is the explanation of different work order statuses. You can customize the names when using this template:
Pending – Conversation starts, gathering information.
Chat to Issue – User inputs the information, and the AI assesses the issue.
To Be Confirmed – The issue has been confirmed, waiting for staff to confirm the appointment.
Confirmed – Appointment scheduled successfully.
This section explains how to configure the AI.
Customer Service AI
Purpose:
Gathers detailed descriptions of car issues from the user, organizes information for the mechanic, and estimates repair time and cost.
Tools:
Find repair items based on user input.
Retrieve quotes using car model and repair item details.
Modify and query user work orders.
Input:
User messages, car_model_id, work_order_id.
Steps:
Set up tools for the AI:
Search repair items.
Retrieve quotes based on car model and repair items.
Query and update work orders.
Configure a knowledge base for car repair categories and specific issues for the AI to query.
Adjust the AI prompts as needed.
Scheduler AI
Purpose: Schedules appointments for mechanics.
Data: Google Calendar token.
Tools:
Time zone conversion.
Calculate distances between locations.
Query and create Google Calendar events.
Input: Location, preferences, date, time zone, duration.
Steps:
Set up tools for the AI:
Retrieve Google Calendar info.
Calculate distances and travel time.
Create calendar events.
Adjust the prompts as needed.
Create a new project.
Enable the Google Calendar API.
Download the credentials JSON file to get your client_id and client_secret.
Add your Google account as a test user.
Get the refresh token:
Set up the client_id and client_secret.
Click "Authorize APIs" and log in with your Google account.
Obtain the refresh_token.
In Momen’s API module, set the client_id, refresh_token, and client_secret as default values.
Enable the Distance Matrix API in Google Cloud Console.
Follow the instructions to get your API key.
Add the API key to the AI's description in Momen.
Register a new account.
Edit account permissions in the editor.
4. Google Auth Refresh Token Setup
The refresh token expires every 24 hours. You'll need to set up an automated process to renew it.
Log in to Google Cloud Console:
Create credentials (redirect URI: ).
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