A Second Brain for Your Flower Shop's Wedding Quotes

Every flower shop has a wedding book. Sometimes it's a binder. More often it's scattered: recipe sheets in a design-room drawer, old proposals buried in email, a spreadsheet of stem costs three price lists out of date, and a lot of it living only in the owner's head. That last part is the problem. When a couple emails at 10 p.m. asking what a 12-table reception with garden roses and eucalyptus might run, the honest answer from anyone but the owner is "let me check and get back to you."

Florists are already talking about this

This isn't a fringe idea anymore. In January, the Society of American Florists launched Aster, an AI assistant for its members. SAF built it only on its own material, including Floral Management articles, industry news and its education courses, and not on the open internet. It's useful for general questions about pricing or staffing. But it doesn't know your shop.

That gap was the subject of a session at SAF's August convention on Amelia Island called "Build Your Shop's AI Brain." The session's starter sheet, credited to people from Norton's Florist in Birmingham, Alabama, and SAF staff, gives refreshingly unglamorous advice. Pick one small, specific problem. Teach the AI your business the way you'd brief a new hire. Build small and check the results. One question they used to get knowledge out of people's heads: what would a manager need to know to run the shop for two weeks without you?

For most shops, wedding and event quoting is the right small problem to start with. It's high-dollar, it's repetitive, and it depends on knowledge only one or two people have.

What a wedding second brain actually does

A Second Brain is a private knowledge system that reads your shop's own documents and answers questions from them, showing where each answer came from. For a florist, the build has three parts.

First, a short spec: which questions it should answer, who gets to ask, and what it should refuse to guess at. Second, an ingestion pipeline that pulls in the raw material:

• Past wedding and event proposals, paired with the final invoices so it knows what was actually delivered
• Your recipe sheets: stems per centerpiece, per bridal bouquet, per boutonniere
• Current wholesaler price lists and your markup rules
• Contract terms, deposit policy, delivery and setup fees, and your notes on venues you've worked

Third, grounded chat. Staff ask in plain English, and the answers come only from those documents.

So when that 10 p.m. inquiry gets opened at 8 the next morning, your newest employee can ask: "What did we do for recent receptions around 120 guests with low centerpieces, and what would that recipe cost at this week's prices?" The answer comes back citing the past jobs it used and the price list it priced from. The couple gets a solid ballpark before lunch, and you didn't have to step away from the design table to make it happen.

The word "grounded" is doing real work there. A general chatbot will happily make up a price. A second brain built properly says "I don't have a recipe for that" when it doesn't, which is exactly what you want from anything quoting on your behalf.

Why this matters more in 2026

Costs haven't held still. Tariffs on imported flowers pushed prices up this year. In February, a San Antonio florist told KSAT that Valentine's prices were up 10 to 25 percent and sales had dropped. When costs move like that, old proposals start costing you money. Copy a quote from two years ago onto a 200-stem job and you can quietly give away your margin.

A second brain that pairs your recipes with your current price sheet catches that. Swap in the new wholesaler list when it changes, and every answer after that uses it. Your design knowledge stays the same. The math stays current.

If you want to start on your own, take SAF's advice and start small. This week, gather your last 20 wedding proposals and their final invoices into one folder. That folder is the hard part, and it's worth doing either way. If you'd rather have the system built, organized and tested against your real past jobs before your team relies on it, that's the work Paglow does for shops around Lima and Allen County.