Retail Guru tells you what needs attention — and exactly why.
Retail Guru is a set of fixed rules over your own workspace data. It is not AI. There's no model, no score you can't inspect, and no "Narlo thinks this account might be interested." Every insight states the specific field and threshold that triggered it.
What it actually checks
- Accounts marked active or prospect with no logged contact in the last 14 days
- Active accounts with no logged activity at all in the last 30 days
- Prospects with no next action set
- Overdue next actions, on both accounts and open opportunities
- Active accounts with no potential products identified — no range opportunity flagged yet
- Active accounts ranging fewer than two current products
- Quotes not updated in 10 days
- Open opportunities worth $2,000 or more that haven't been touched in 14 days
An example
A real Retail Guru message reads like this:
Not: "Narlo thinks this account may need attention." The difference matters — you can check the underlying data yourself, every time, and trust it without having to trust a model's reasoning.
Why no AI
AI exists in Narlo's codebase but is off by default and not part of how the product works today. Retail Guru is deliberately built without it — a small, fixed set of rules over data you already have is easier to trust, easier to explain to a teammate, and doesn't depend on a model behaving consistently. If Narlo ever uses AI for this kind of insight in the future, the commitment is the same: it will only ever use data your workspace already has permission to see, and the reasoning will remain inspectable, not a black box.
Where it lives
Retail Guru reads from the same shared business records every other part of Narlo uses — organisations, opportunities, quotes, product links — nothing separate to set up, and nothing from anyone's private mailbox.