Meet Your Flower Buddies: Tech, Tools & Gummy Bears with Paul & Tony Guerrie
Vonda and Lori first crossed paths with Paul and Tony Guerrie, the brother co-founders of FlowerBuddy, Inc., on the trade-show circuit — Lori at SAF NextGen in Dallas (where the booth's now-famous gummy bears, Tony's wife's idea, stole the show), Vonda at AIFD Symposium in Orlando. What impressed Lori most at NextGen wasn't the candy, though: watching the brothers on a panel, she saw two incredibly smart people deliberately teaching at their audience's level instead of showing off. Tony says that's the whole company philosophy in a sentence — make things intuitive, not academic.
Born from a florist's spreadsheets
Tony got pulled into flowers through his wife, Megan, an event-based studio florist now in Colorado who started her business in Houston. She'd worked in a flower shop in high school, went into corporate marketing, then pivoted after their first child was born — and her word-of-mouth wedding business took off fast. What the family learned just as fast: running any flower business profitably is genuinely hard. Megan was juggling a million tools, and Tony — then working in technology commercialization for a Fortune 500 company — kept building her ever-more-complex Google Sheets. Meanwhile he was noticing how much of the wider industry still ran on pen and paper: one wholesaler's workflow involved emailing an order to a rep, who wrote it down on paper, which someone else typed into a spreadsheet for the buyer. The final star to align was his brother Paul — previously the AI lead at a Google-backed AI company — bringing what Tony calls top-tier tech talent to an industry that hasn't had much of it.
Plan, price, order, and build — profitably
FlowerBuddy's core promise is helping florists stay profitable through tools and digestible information. It starts with recipes: you build products against real flower data (community-sourced average pricing today, with live wholesaler pricing on the roadmap), so you instantly see cost and margin. At NextGen the brothers debuted their AI recipe generator — designed as an assistant, not a replacement. Prompt it with what you're imagining, let it get you roughly 85% of the way there, tweak it, and because it's tied to data you know the price and profitability immediately. From there, recipes flow into aggregated flower ordering — you can load in your own wholesalers' prices (bulk spreadsheet upload or quick in-app entry), split one order across multiple suppliers, and see where every stem is being used so you can trim waste.
The build side is where retail shops perk up. Recipes become digital build instructions — printable if you like paper floating around the shop, or viewable on any tablet or phone with no account needed. Designers mark progress and snap photos as they finish, so an owner on vacation can literally watch an event being built, arrangement by arrangement, and phone in a correction before it goes out the door. Vonda immediately saw the training angle: notes like "start with foliage, roses are the next insertion, 15 minutes start to finish" let arrangers — not just seasoned designers — execute consistently. Though FlowerBuddy started closest to its first customer (Tony's event-florist wife), retail shops are already using it creatively for Valentine's Day, Mother's Day, and even weekly orders.
Labor is time, not a guess
Tony's sharpest observation is about the common shortcut of charging a flat 20% for labor. Ask that florist how much money they actually make on labor and there's no answer — they don't know if they came out ahead until after the event, if they check at all. FlowerBuddy reframes labor as time: this piece should take 15 minutes, so five of them should take about an hour and a half. If it takes two and a half, that's not a reason to hold anyone to a stopwatch — it's a feedback loop, a coaching moment, or a sign the recipe's effort was misjudged. Vonda adds the flip side: real productivity data lets you reward the people pulling their weight.
No shame, more creating
Asked what they want florists to know, Tony names the thing Lori sees constantly in her conversations with shop owners: shame. Owners go quiet when they admit they don't know their numbers. His answer is that the business has two halves — the design talent that listeners have already cracked, and the operational efficiency to earn a sustainable margin, which is a completely different skill set and genuinely hard. That's why FlowerBuddy exists, priced to be accessible: the same tools that would serve a $5 million shop are available to a $50,000 studio on a pay-as-you-go plan that costs nothing until clients are booked. The company's two-person, product-people-not-salespeople support ethos ("nothing hurts our feelings") means user complaints and ideas become shipped features — often followed by a flood of thank-you emails. What's next: live wholesaler pricing flowing into the app, recipe sharing among users, in-app team communication tied to the actual product or event, and more invisible AI, like the image system that already auto-titles, describes, and tags every photo you upload.
Curious? The brothers do their own demos — 15 minutes of screen-sharing, no sales pitch, plus a library of bite-sized how-to videos built for visual learners. Find them at flowerbuddy.co. Their catchphrase says it all: more creating, less calculating.
Key takeaways
- Recipe tools tied to real flower data show cost and profit margin the moment you build a design — before you quote the client.
- Think of labor as time, not a flat 20%: time budgets per arrangement give you a feedback loop for training and pricing.
- Digital build instructions with progress photos let you monitor production from anywhere — and help newer designers execute consistently.
- Being great at design and being great at operations are two different skill sets; there's no shame in using tools (or people) for the half that isn't your gift.
- AI works best as an assistant that gets you 85% of the way there — you stay the designer.