What is an AI report?

An automatically generated summary of the business's data in plain language: what was sold, where the pipeline stands, which leads went cold, which agreements are expiring. It replaces manual exports and spreadsheets and is delivered on a fixed cadence to management and sales.

Which numbers should a dealer report on weekly?

Cars sold, conversion rate per lead source, lead response time, service-agreement attach rate, and the number of agreements expiring in the next 90 days. Those five cover sales, aftersales and risk, and all of them can be acted on in the same week.

Can you trust an AI-generated report?

The report is only as good as the data. If leads are not recorded with a source, or deals are not moved between stages, the report cannot see it. That is why data clean-up is step one, and every number must be clickable down to the underlying records.

How often should the report be sent?

Two cadences work best: daily to salespeople with their own leads and tasks, weekly to management with trend and deviations. The monthly report then becomes a summary rather than the only moment anyone looks at the numbers.

Does it replace our DMS reports?

No. The DMS is strong on finance, workshop and inventory. An AI report covers the commercial layer: leads, conversion, follow-up, service agreements and expiries. The two should be read together.

What is the biggest pitfall?

Too many numbers. A report with forty KPIs does not get read, and none of the numbers get an owner. Start with five, give each an owner, and only expand once those five are actually used.

Guide · AI reports

AI reports for car dealers: management numbers in minutes

Most dealers have the numbers but spend four hours a month collecting them from the DMS, spreadsheets, portal statistics and accounting. By the time the report is ready it is a week old and read by one person. This guide shows how to get automatic reports that answer what changed, what is critical this week, and who needs to act.

Last updated: 2026-08-19

Short answer (TL;DR)

An AI report is an automatic summary of your own data in plain language: cars sold, pipeline, cold leads, expiring agreements and deviations. Define five fixed numbers, set a fixed cadence (weekly for management, daily for sales), and require every point to have an owner and an action. The report is only as good as the data: if leads are not recorded, the report cannot see them.

Why reporting usually stalls

The numbers live in four systems and have to be merged manually in a spreadsheet
The report is ready a week after month end, when the decision has already been made
Revenue is measured instead of conversion, response time and attach rate
Salespeople never see the report, so it changes no behaviour
Nobody can explain why a number moved, only that it did
Every report is built slightly differently, so periods cannot be compared

How to set up automatic reporting

1. Pick five numbers, not forty

Cars sold, conversion rate per lead source, lead response time, service-agreement attach rate, and agreements expiring in the next 90 days. Five actionable numbers beat a dashboard with forty.

2. Define the numbers in writing

What is a lead, when is a deal won, what counts as response time. Without fixed definitions you compare periods that cannot be compared.

3. Clean the data first

Leads without a source, deals without a stage and agreements without an expiry date become holes in the report. One week of clean-up beats three months of reporting.

4. Use two cadences, not one

Daily for sales (my leads, my tasks, my response time) and weekly for management (trend, deviations, risk). The monthly report becomes a summary, not the working tool.

5. Require a deviation explanation

The report must highlight what changed more than usual, not just list numbers. A drop in conversion on one channel matters more than total revenue.

6. Give every point an owner

A number without a name and a next action moves nothing. Critical points must become tasks for a person, not bullets in an email.

7. Read the report in the same place every week

Fixed time, same format, five minutes. The change comes from the routine, not from the report.

What automatic reporting gives you

Numbers that are current

The report reads the platform's own data instead of a manual export.

Five actionable numbers

Conversion, response time, attach rate, pipeline and expiries instead of revenue alone.

Deviations highlighted

You see what changed, not only what the status is.

Ownership on every point

Critical points become tasks for a person with a date.

Same definitions every time

Periods can be compared because the numbers are calculated identically.

One data foundation

Sales, leads, service agreements and lease contracts measured in the same system.

Manual reporting vs. automatic reports

Area	Manual spreadsheet	Automatic report
Time spent	Hours per month	None after setup
Freshness	1-4 weeks behind	Current
Recipients	Usually one person	Management weekly plus sales daily
Focus	Revenue	Conversion, response time, attach rate, expiries
Deviations	Found if someone looks	Highlighted automatically
Comparability	Varies with who builds it	Same definitions every time

The table describes typical workflow at small and mid-sized dealers, not a guaranteed result.

Frequently asked questions about AI reports

Keep reading

See a report built on your own numbers

30-minute demo. We show how the report pulls together sales, pipeline, leads and expiring agreements, and how deviations become tasks for the owner.