Ana Hana Flower cut 70% of its manual reporting work

A florist's inventory doesn't forgive a bad forecast

Ana Hana Flower is a Singapore-based direct-to-consumer florist known for custom arrangements — the kind of catalog where the same stems go into many different bouquets and nothing sits on a shelf waiting to be corrected later. Cut flowers are perishable and custom work is made to order, so a forecast that's a little off doesn't just miss a target; the inventory it was wrong about is already wilting by the time anyone notices. That combination — perishable stock, made-to-order demand, and a catalog that recombines rather than repeats — makes forecasting harder than it is for a retailer selling the same fixed SKU week after week. Getting those calls right mattered more than most retailers' do, and the team was making them without a comprehensive reporting setup to lean on.

What "no reporting tools" actually costs you

A reporting gap rarely shows up as one missing feature — it shows up as a habit. Someone exports a CSV, pastes it into a spreadsheet, and rebuilds the same pivot table they built the week before. The file works, right up until that person is out for the day, hands the role to someone else, or the business changes shape enough that the formulas no longer quite cover it. Numbers go stale between refreshes, and because the spreadsheet lives on one laptop, everyone else either waits for an update or works from memory instead of from the actual numbers. Teams in that position aren't short on the ability to read their own business — the tooling just turned every report into a single person's manual project instead of something anyone on the team could open and trust on their own.

Dashboards the whole team can read

Assisty's answer starts with customizable dashboards and reports. Reports are built from the store's live data and live in one place, so a view of what's selling or what's running low looks the same no matter who opens it — nobody is waiting on an export from one laptop. For the questions that don't fit a saved dashboard, the AI Report Builder turns the request straight into the report: type what you want to know and Atlas builds a live table from the store's own data — no measure picker or filter tree to configure first — then adjusts that same report as you refine it by talking, instead of sending you back to a blank page every time the question changes. Ready-made templates and a running list of recently asked questions mean nobody has to start from a blank page either, whatever the question is about. That's the difference between one person maintaining a file and a team pulling up a report and trusting what's in it.

Reporting that runs itself

The other half of the habit worth breaking is the pulling itself — someone having to remember to run the report at all. Scheduled Reports let any report run on a daily, weekly, or monthly cadence and land where the team already works: email with a CSV, Excel, or PDF attached, or a Google Sheet kept current — and, through a Shopify Flow trigger, an alert routed into Slack or Teams. Once a report is scheduled, nobody has to remember to pull the Monday numbers by hand; they're simply there when the week starts, on the same cadence every time. Every run is kept in a history too, with the file it sent, so a report from an earlier run is just as easy to open again as this morning's.

70% less manual work

For Ana Hana Flower, dashboards and reporting the whole team could open cut manual reporting work by 70%.

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