Can Chatref integrate with my tire shop's POS system?

Your POS holds live data - appointment slots, service history, tire inventory, and customer balances. Chatref's custom-actions feature calls your POS API directly from the chat widget. When a customer asks "What time is my mounting appointment?" or "Are my BFGoodrich tires in stock?", the AI agent fires a custom action, pulls the answer from your system, and replies instantly. No manual lookups, no toggling between tools.

This works with most modern POS systems that expose a REST API. You define the endpoints and payloads inside Chatref, and the agent calls them when needed. The integration is secure - requests stay server-side, so API keys never reach the browser.

To connect your tire shop POS, you'll define one or more custom actions in your Chatref agent settings. Each action maps a customer intent (like "check appointment" or "order status") to an API call.

• Appointment lookups - match a phone number or email to upcoming service slots.
• Order tracking - pull status on wheel and tire orders, alignments, or seasonal changeovers.
• Inventory checks - confirm availability of a specific tire model or size before the customer drives in.
• Loyalty or credit - surface account balances, unused credits, or warranty coverage.

The agent decides which action to call based on what the customer typed. If the API returns structured data, the response is woven into the agent's reply in a friendly, on-brand voice.

Beyond live POS data, Chatref's knowledge-base holds everything your team already knows: tire brand comparisons, mounting and balancing prices, seasonal recommendations, warranty policies, and directions to your shop. The ai-agents capability means the same agent that checks inventory can also answer "What tire pressure monitoring system (TPMS) service do you offer?" or "How much is a four-wheel alignment?" from your own docs - no hallucinations, no generic web guesses.

Common tire shop uses:

• Explain differences between all-season, winter, and performance tires
• Quote mount-and-balance costs by wheel size
• Provide DOT date code guidance and tread life expectations
• Share alignment service durations and what's included
• Direct customers to your online scheduling page

All answers stay grounded in the information you uploaded, keeping your team consistent and saving hours of repeat typing.

Not every customer request is a one-click lookup. If someone needs a complex return, a price match, or a special order from a distributor, the shared-inbox brings your team in with full context. The AI agent hands off the entire chat thread, so your staff sees what the customer already asked and the data the agent pulled. No starting over, no lost context.

Your team can also watch conversations live and jump in at any point, handling exceptions while the AI agent continues to resolve the routine stuff - like answering store hours or tire availability.

Connecting Chatref to your tire shop POS follows a straightforward sequence:

1. Identify the POS endpoints you need - appointment lookup, order status, inventory check. Your POS provider's API documentation lists these.
2. Create custom actions in your Chatref agent settings, defining the HTTP method, URL, headers, and payload template for each endpoint.
3. Test in the playground - Chatref's live preview lets you simulate customer questions and confirm the agent calls the right action and displays accurate data.
4. Embed the widget on your website using the provided snippet. The agent goes live immediately on your shop's pages.
5. Train your team on the shared inbox so everyone knows how to monitor and step in for complex cases.

Because Chatref is pay-as-you-go with no per-bot fees, you can create separate agents for different shop locations or services without multiplying cost. Every account includes unlimited agents and custom actions.

Integrating customer support with POS systems

Integrating your customer support tool with your POS breaks down data silos. Instead of separating "front desk" queries from "back office" records, your support widget can answer appointment and order questions directly from the live system. This reduces repetitive manual lookups, speeds up customer answers, and lets your staff focus on in-shop service. Chatref's custom actions make this possible by letting the AI agent call your POS API in real time.

How to connect Chatref with your tire shop software

Connection happens through custom actions, not a pre-built plugin. Inside your Chatref agent, you add actions with the API details of your POS (endpoint URLs, authentication headers, request bodies). The agent then recognizes when a customer question matches that action - like "track my order" - and fetches the data. For the shared inbox, no additional configuration is needed; human takeover works automatically with full chat context. If your POS doesn't have a public API, our team can help you explore middleware options or suggest alternative data synchronization approaches.

Benefits of integrating support tools with POS

• Faster customer self-service - customers get real-time appointment and order info without calling.
• Reduced staff workload - your team stops fielding routine "when is my appointment" or "is my tire in" questions.
• Consistent answers - the AI agent pulls from your POS and your own knowledge base, not the internet.
• Contextual handoffs - if a customer needs a human, your team already sees the POS data the agent retrieved.
• Pay-per-use cost - with Chatref's PAYG model, you pay only when the agent answers a query, no fixed monthly fees.

Steps to integrate Chatref with your existing systems

1. Sign up for a Chatref account and claim your $50 free credit.
2. Upload your tire shop's documents (pricing sheets, service menus, policies) to build the knowledge base.
3. In the agent builder, add custom actions pointing to your POS API endpoints for appointment lookup, order status, or other live data.
4. Test the agent in the playground to verify that actions fire correctly and responses are accurate.
5. Embed the widget on your site with one code snippet.
6. Invite team members to the shared inbox so they can monitor and take over conversations when needed.
7. Review conversation insights to see what customers ask most, then refine your knowledge base and actions over time.