RepairShopr

Integrate RepairShopr with 2800+ apps and services

Supercharge your RepairShopr support workflows with Ayudo's AI-powered agents by connecting with Zendesk, Slack, and Intercom. Resolve tickets faster, automate customer conversations, and deliver instant responses with seamless integration.

Explore Triggers and Actions

New Customer
Trigger new event when a new customer is created.
New Invoice
Trigger new event when a new invoice is created.
New Ticket
Trigger new event when a new ticket is created.
Create Customer
Create a new customer. [See the docs here](https://api-docs.repairshopr.com/#/Customer/post_customers)
List Customers
List Customers. [See the docs here](https://api-docs.repairshopr.com/#/Customer/get_customers)
Create Ticket
Create a new ticket. [See the docs here](https://api-docs.repairshopr.com/#/Ticket/post_tickets)
Create Lead
Create a new lead. [See the docs here](https://api-docs.repairshopr.com/#/Lead/post_leads)

How it works

Add your support channel as a trigger
Start with any customer-facing channel — WhatsApp, Email, Web Chat, or even Phone. When a new ticket, message, or call comes in, the workflow kicks off.
Connect your apps
Set conditions like agent persona, customer type, query intent, or urgency. Then let your AI agent auto-respond, triage, summarize, or even escalate — just using natural language.
Connect it to your tools
Sync with your CRM, Helpdesk, or internal systems. Automatically log tickets, update statuses, notify agents, send surveys or send summaries — your workflow, your way.

Popular App Usecases

We’re adding more usecases, triggers and actions - check back soon!

About RepairShopr

RepairShopr empowers support teams with efficient job tracking and communication, crucial for enhancing customer service and operational efficiency.

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RepairShopr

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We’re adding more usecases, triggers and actions - check back soon!

Frequently asked questions

How can I set up RepairShopr integration in Ayudo?

To use RepairShopr integration in Ayudo, add the RepairShopr node to your workflow. Authentication is done via API key, which you can find in your RepairShopr account settings. You can create support tickets from RepairShopr events, sync customer data, send automated responses, and trigger AI agent conversations. Once connected, your AI agents can automatically handle RepairShopr data in support conversations.

Do I need any special permissions or API keys to integrate RepairShopr with Ayudo?

You need an API key from RepairShopr, which you can find under the API section in your account settings. Ensure your API key has permissions for ticket management, customer data access, and communication features. Admin access is required to retrieve the API key. Ensure your credentials have access to job tracking and communication resources for full support automation capabilities.

Can I combine RepairShopr with other apps in Ayudo workflows?

Yes! RepairShopr works seamlessly with Zendesk, Intercom, Slack, Gmail, and Freshdesk. For example, when a high-value RepairShopr event occurs, create a Zendesk ticket, notify the team via Slack, and have an AI agent reach out proactively. These workflows enhance support efficiency and customer satisfaction.

What are some common use cases for RepairShopr integrations with Ayudo?

Common use cases include auto-creating support tickets from RepairShopr events, syncing customer data between RepairShopr and support tools, triggering AI agent responses based on RepairShopr activities, sending proactive support messages via voice/text agents, and updating RepairShopr records after support conversations.

How does Ayudo's pricing model benefit me when integrating RepairShopr?

Ayudo uses per-seat pricing ($119-$179/seat/month) which is ideal for support teams. You pay per support agent seat, not per automation or ticket volume. Unlike per-ticket or per-conversation pricing, you get unlimited AI agent interactions. Your support team can handle more conversations with AI agents without additional costs, making RepairShopr automation cost-effective as your support volume scales.

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