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Email triage for garages and car dealerships

A garage’s inbox mixes booking requests, assessment reports, parts order confirmations, customer follow-ups and supplier advertising. A handful of these messages condition a same-day handover; they wait in the queue like the rest.

In your day-to-day

A typical scenario

A dealership’s after-sales inbox swallows 120 messages a day: booking requests, assessment reports, parts confirmations, manufacturer leads, newsletters.

  1. 01

    7:55 AM: the after-sales leads the manufacturer sent overnight are already on the call list, vehicle history pulled from the DMS.

  2. 02

    “Here are the photos you asked for”, no reference, no plate in the subject line: the agent reads the plate off the photo and attaches the item to the right repair order.

  3. 03

    A complaint lands through the manufacturer form: filed priority, passed to the director with the repair order and history — the reply leaves before the survey score settles in.

What changes

After-sales opens on an ordered queue. Blocking parts, cooling leads and irritated customers no longer spend the night unanswered.

Order of magnitude

Working assumptions

  • 1.5 hours of sorting morning and evening by the service advisor
  • a dozen messages a day condition a handover or a lead to call back

About 3 hours a day given back to reception, and critical messages entering the workflow in minutes instead of half a day.

Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.

What eats your days

How it works

  1. 1

    Measure before sorting

    We start by measuring the real flow: who writes, about what, what actually needs action. Sorting rules are built on that data — not on impressions.

  2. 2

    Sort, extract, route

    The agent classifies each message, extracts the useful data (references, amounts, deadlines) into your tools, and routes to the right person. Urgent items are flagged within minutes.

  3. 3

    Answer the recurring

    Acknowledgements, document requests, standard questions: the agent replies on its own within the approved fence. The rest lands pre-qualified in your team’s queue.

Typical results

95%

of messages classified and routed with no human involved

4 min

between an urgent message arriving and being flagged

0

client requests lost in the pile

Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.

Frequently asked questions

Does the agent recognise emails from assessors and insurers?+

Yes: senders, report formats and claim references are learned on your real flow during calibration. An incoming approval is attached to its file and flagged within minutes, not discovered the next day.

Customers have written to the same address forever — must it change?+

No — the agent works inside the existing mailbox. Your customers see no difference except response speed.

Is this the problem eating your team’s time?

Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.

Get my free diagnostic

Free resource

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Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.