Every grower has questions their reports don’t answer: which customers bought less than last spring, what’s still on the bench two weeks past its ready date, what we credited out last month and why. If you run store programs, which stores are under sixty percent sell-through. The answers are all sitting in the data, and getting them out has meant an afternoon in Excel or a call to your software vendor.
Flora removes that step. Ask the question the way you would ask a colleague, and get the answer from your live data — with an Excel export one click away.
It knows your operation, not a generic one
Flora reads your actual data structure, enriched with a maintained dictionary of what things mean in your business. So it understands your products, your locations, your customers and your terminology rather than guessing from a template built for some other industry. Conversations carry context, so you can refine a question — "now just the Georgia stores" — instead of starting again.
The part people keep using: reports that outlive the question
A conversation answers a question once. What you usually need is the same answer every Monday morning. So when Flora produces something useful, you keep it — the question becomes a named report that sits in Report Builder alongside everything else, ready to run.
Here is the part worth understanding, because it is what makes this trustworthy rather than merely clever: a saved report runs without the AI. Flora writes the query once. From then on it executes directly — same numbers every time, instantly, with no model in the loop to interpret anything differently on a Tuesday.
You get natural language as the way you build a report, and ordinary deterministic reporting as the thing you end up with. That is the right way round.
From there it behaves like any other report in the system: parameterized by date range or location so one definition covers a whole season, and scoped to the roles you have configured. A regional manager opening the same report sees their own locations. Someone who has never written a formula can build a reporting layer for an entire organization by describing what they want.
Why it is safe to point at your live data
The reasonable objection to AI touching a production system is: what can it break? The answer here is structural rather than reassuring.
Flora connects with a read-only account. Writing is impossible, not merely disallowed — there is no permission to change anything, so no prompt, mistake or misunderstanding can. And it only ever sees what you see: queries are scoped to the companies and locations your own login covers.
Where Flora is heading
Flora reads, reports and forecasts today, and we are investing heavily in assistance that does more than answer questions.