AI reports for the owner: asking questions of your CRM data

You want to know how many quotations are older than a month, and the only way to find out is to ask a clerk for a report and wait for it. Tools now let you type that question into the CRM in plain words and get an answer in moments. That is useful for counting, grouping and comparing records that were filled in properly. It is dangerous for anything the records never captured, because the answer arrives looking just as confident. So build one habit: ask, then check.

What happened to a Guntur chilli dealer's first five questions?

Imagine, as an invented example, a dried chilli and spice dealer in Guntur with three salespeople and a CRM bought two years ago. The owner typed five questions on a Sunday. Here is each answer, and what checking it showed.

"How many open quotations are older than 30 days?" Answer: 41. The owner asked for the rows and opened ten. Seven were real, three were test entries from the day the CRM was set up. A good result, with a stain: the true figure was closer to 38. A count needs a status and a date, and both were filled, so it was safe, once the tests were deleted.

"Enquiries by source." Answer: a trade portal listing far ahead of everything else. The owner nearly renewed the bigger plan, ₹60,000 for the year. In the rows, many had a blank source. The CRM had filled the blanks with its default, set years earlier when that portal was the only source anyone tracked. The owner changed the default to "not recorded" and asked again. A large unknown slice appeared, with dealer referrals and walk-ins well ahead of the portal. That mistake would have moved real money.

"Orders by salesperson this quarter." Answer: one salesperson had half the orders. The rows showed that one salesperson entered every order, while the other two entered only about half of theirs. The tool had measured who types, not who sells.

"Why did we lose the Nellore deals?" Answer: a fluent paragraph about price pressure. The reasons lived in free-text notes, and the tool had paraphrased three of them into a theme. Nobody had said price. The owner did not use it.

"What will we sell next month?" Answer: a figure. The owner ignored it. Chilli prices and the arrival of the crop can move the month more than any pattern in the CRM.

Which kinds of question are safe?

Counting and grouping are the safe ones, where the fields are filled with fixed choices: open quotations older than a given age, enquiries by city, orders by month. Comparing is mostly safe, provided everyone uses the same stage names. Totals need a hard look, because duplicates and tests inflate them. Causes and predictions are not safe, because the records do not hold them.

A good rule: if the answer depends on a field that a salesperson can skip, treat it as a suggestion, not a fact.

What three checks do I run before believing an answer?

Run them in order and stop when one fails.

1. Ask for the rows. Request the list behind the number. If it says forty stalled quotations, open ten. In a minute you will see whether they are stalled quotations or test records.
2. Count the blanks. Ask how many records have no value in the field you grouped by. If a third have no source, the chart describes only the other two-thirds.
3. Compare with something you know. Ask for a number you can verify, such as last month's orders. If the tool disagrees with what you remember, distrust the figures you cannot verify.

Note the result beside the answer. After a few weeks you will know which questions your data supports.

How should the data be set up first?

Before you ask anything, fix four things.

Make the fields behind your questions compulsory: source, stage, value, owner and date. A field that can be skipped will be.

Use fixed choices for source and stage, not free text. "Walk in", "walk-in" and "Walkin" count as three sources.

Remove duplicates and tests. Our guide to cleaning and organising CRM data gives a safe order.

Name one person who owns the field definitions. If "qualified" means two things, every answer about qualified leads is wrong for someone.

What should I say in the next review?

Say how you got the number. "The tool says forty stalled quotations; I opened ten and nine were real" is a sentence the team can learn from. "The AI says" ends the conversation and teaches the team to stop looking at the rows.

Ask the owner of a lead to explain the row the tool pulled out, and let them correct it on the spot. A report that gets argued with is a report that improves the data.

When is it not worth doing?

When you have a few dozen records and a filter takes ten seconds. When your team keeps deals in WhatsApp and the CRM is nearly empty, because the tool then reports on a business the CRM does not hold. And for any figure that goes to a bank, an auditor or a customer. Those come from your accounts, not from a question box.

The seven-number dashboard is a better first step if you do not yet know which numbers to watch.

Start with the one question you ask most

Pick the question you put to your team every week, ask it of the CRM, open ten rows, and count the blanks. What fails tells you which field to fix first. AI-powered reporting and insights is the service for the reports themselves, the marketing hub links the wider reporting posts, and if you want help deciding where to begin, tell us what you need.