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Ask in plain English. Get the answer, and the spreadsheet.

Flora — Your AI Data Assistant

Ask Flora a question about your operation and get a real answer from your live data — then keep it as a report that runs itself every week.

At a glance

  • Ask questions in plain English, get answers and an Excel export
  • Knows your products, locations and terminology — not a generic template
  • Turn any answer into a named, re-runnable report
  • Saved reports run without the AI — same numbers, every time
  • Read-only by architecture, scoped to what your login can see

Every grower has questions their reporting cannot answer. Which stores are under sixty percent sell-through this week. Which products moved at one chain and died at another. What we credited out last month and why. The answers are all sitting in the data, and getting them out has historically meant asking someone who writes SQL.

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, scheduled and emailed so it lands before anyone asks for it, 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 organisation 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 and reports today, and we are investing heavily in assistance that does more than answer questions.

See where we’re taking the platform

See It in Action

Want to see Flora — Your AI Data Assistant on your own data?

We’ll walk through it with your products, your locations and your workflow — not a canned demo dataset.