CockatooAutomation & AI agents
AI and automation for tyre retailers and fitters: start with a defined workflow, clear permissions and human review where it matters.
Automation & AI agents
A tyre shop fields a steady stream of price-and-availability calls — does it have my size, how much, can it fit me in today — while the team is on the tools. An AI phone or chat assistant can answer those instantly, check the size against your stock, quote a fitted price and book the bay, capturing customers who would otherwise ring the next shop or buy online. It can handle after-hours enquiries so a booking is locked in before you open.
Automation also drives repeat business and tightens cash flow — sending rotation, alignment and tyre-age reminders, following up on quotes that went quiet, and chasing fleet invoices on terms. It can request reviews after a fit and keep account customers updated, so your bays stay full and your best customers keep coming back.
Choosing a starting point
A starting workflow for tyre retailers and fitters could be collecting vehicle details, arranging a booking and sending service reminders. Map the current steps and time spent, then test one handoff before connecting the whole process. Keep specialist decisions and commitments with a person unless explicitly approved.
A predictable trigger and next action, such as routing an enquiry or creating a follow-up task.
Check before committing: Connected systems, required fields, duplicate protection and failed-run alerts.
Repeated questions about approved services, locations and how to contact your team.
Check before committing: Accurate source information, unanswered-question handling and human handoff.
A defined overflow or after-hours call flow with a reliable callback or transfer route.
Check before committing: AI disclosure, interruption handling, consent settings and transfer failures.
A narrow task that needs approved tool use or a choice between permitted steps.
Check before committing: Tool permissions, action logs, approval gates and a pause control.
Ask for setup, integration, usage and support costs separately, including limits for busy periods. Confirm data access, retention, monitoring and who maintains the service. A proposal should identify pilot milestones and the conditions for expanding or stopping.
Further reading: OAIC guidance on privacy when using commercial AI products.
Availability, pricing and timing depend on the project and provider. Agree the work in writing before committing; these guides do not promise a ranking, lead volume or saving.
Common questions
An AI phone or chat assistant can answer price-and-availability questions instantly, quote a fitted price and book the bay, even after hours. That captures customers who would otherwise ring around or buy a tyre online while your team is busy fitting.
Yes. It can send rotation, alignment and tyre-age reminders, follow up on quotes, request reviews after a fit and chase fleet invoices on terms. That turns one-off customers into repeat business and keeps your cash flow moving.
Use rules when the input and next action are predictable. Consider AI for interpreting text or choosing between approved steps, with a way to check its work. Compare the maintenance and error handling of each approach before buying a platform.
Define which information is necessary, who can access it and where it is retained. Review the provider’s data handling and any use of inputs for model training. Start with approved public information or test data, and use a suitable secure process for sensitive records.
Record a baseline and test the agreed task, exceptions and human handoff. Review correctly completed work, mistakes, usage costs and supervision time. Expansion should depend on those results, with permission limits and a pause control retained.
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Email a brief describing the task and existing systems. Confirm availability and scope before committing; do not send passwords or confidential customer records.