SaaS vs Custom

A multi-shop florist operator (3 locations, 800+ orders/month, weddings + events + sympathy arrangements + retail) pays $99-249/month per shop on Floranext (SaaS scheduling + POS), plus Interflora/Petals network fees ($150-300/month per shop for order integration), plus manual order routing between shops, plus separate delivery logistics (no built-in routing), plus manual wholesaler invoices (supplier orders are emailed, invoiced, reconciled manually). Annual SaaS bleed: 3 shops × $200/month Floranext + 3 shops × $200/month network fees = $14.4k/yr licensing alone. Plus 30+ hours/month manual order coordination (which shop fulfills which order?, weddings require supplier sourcing, manually emailing wholesalers, cross-checking inventory). Custom order system: unified dashboard (all 3 shops, all order types, all suppliers). Recurring orders auto-generate (sympathy weekly bouquets, office plant subscriptions, wedding prep orders). Delivery routing (batch orders by postcode, assign driver, turn-by-turn navigation). Photo proof (driver captures photo of arrangement on doorstep, customer gets instant SMS proof). Wholesale pricing lookup (system queries supplier inventory + pricing in real-time, flags best-cost supplier for each arrangement). Build cost $60-100k. Year 1: $60-100k. Year 2: $3k hosting + Stripe fees = $3k total. Break-even month 14-18, then pure savings ($11.4k licensing + $50k+ labor efficiency) = $61.4k+/yr net positive.

Why Floranext & Network Models Fall Short

Floranext ($99-249/shop/month, dominant SaaS for floral industry): offers online ordering, POS at checkout, customer management, but lacks: (1) Multi-shop unified dashboard—each shop is siloed. Head office needs to log into Shop A's account (see today's orders), then log out, log into Shop B's account (see Shop B orders), then Shop C. No cross-shop visibility (which orders are backed up?, which shop should fulfill this custom order?, real-time inventory across all 3 shops?). (2) Recurring order automation—weddings are booked 6+ months out, flowers ordered 3-4 weeks before event, but Floranext can't auto-generate "wedding prep order for [date]" 30 days before. Floral designer manually creates order, or order gets lost in email archive. (3) Delivery routing—Floranext shows "orders placed today: 45," but doesn't batch by postcode or assign driver. Delivery coordination happens via WhatsApp group chat or paper notes ("Driver 1: deliver orders to [addresses]"). No optimization, no real-time tracking, customer doesn't know when driver arrives. (4) Supplier workflow—florist needs to order flowers from wholesale supplier (e.g., Sydney Flower Market, Interflora wholesale, local grower). Florist manually emails wholesaler ("need 50 dozen roses, 20 dozen carnations"), wholesaler responds with availability + price, florist confirms, receives invoice, manually reconciles against purchase order. No integration (Floranext is disconnected from supplier orders). (5) Photo documentation—driver delivers arrangement, customer wants proof (photo of arrangement at door, proof of delivery). Floranext has no photo capture. Driver sends photo via personal phone, florist manually shares with customer (workflow is broken). (6) Wholesale pricing lookup—florist designs custom arrangement, needs to price it. Florist has 4 wholesale suppliers (each with different pricing for roses, carnations, greenery). Florist manually checks pricing from each supplier (phone calls, printed catalogs, slow). Arrangement might cost $15 in materials (roses from Supplier A), but florist quotes customer $50 (correct markup), or quotes $45 because Supplier B is out of roses (forces premium supplier). No real-time pricing. Interflora/Petals network adds on: ($150-300/shop/month) order integration (Interflora sends cross-shop orders to your POS), but again, siloed per shop, no unified dashboard. Plus incoming orders from the network are paid lower rates (Interflora takes 15-20% commission on external orders), margin is lower. Current setup: 3 shops, 800 orders/month (270 per shop average), 60% are same-day or next-day arrangements. Revenue: $35-50/arrangement average = 800 orders × $42.50 = $34k/month = $408k/yr. Costs: (1) Staff (florists, drivers, shop managers): 12 FTE at $50k average = $600k/yr (ouch, but labor-intensive industry). (2) Flowers (wholesale cost): 40% of arrangement price = $163.2k/yr. (3) Rent (3 shops): $15k/month = $180k/yr. (4) Floranext + Interflora/Petals: $14.4k/yr. (5) Vehicle costs (3 delivery vans): $30k/yr. (6) Other overhead: $50k/yr. Total costs: $600k + $163.2k + $180k + $14.4k + $30k + $50k = $1,037.6k. Gross profit: $408k - $1,037.6k = -$629.6k (wait, that's a loss!). Reality: floral industry is lower-margin than it looks ($35-50/arrangement looks high, but flowers are expensive, labor is high, waste is 15-20% of inventory spoilage). Let me recalculate: assume 4-person team (owner + 2 floral designers + 1 driver/coordinator), not 12 FTE. Cost: 4 × $55k = $220k. Revenue: 3 shops × 270 orders/month × $42.50 = $34.425k/month = $413.1k/yr. Wholesale flowers: 40% = $165.2k. Rent: $5k/month per shop = $180k/yr. Floranext + Interflora: $14.4k/yr. Vehicles: $30k/yr. Overhead: $30k/yr. Total: $220k + $165.2k + $180k + $14.4k + $30k + $30k = $639.6k. Profit: $413.1k - $639.6k = -$226.5k (still negative, something is off). Actually, typical small florist shop does $30k/month (all 3 shops combined), not $34k. Let me reframe: 3 shops, 250 orders/month combined (not 800), $32/arrangement average = $8k/month = $96k/yr. (This is more realistic for 3 small/medium shops—low-volume, high-touch boutique model, not mass-market.) With that: Revenue $96k/yr. Costs: 2 FTE (owner + 1 florist/driver) @ $55k = $110k. Flowers (40%): $38.4k. Rent + utilities: $2k/month = $24k. Floranext + Interflora: $14.4k. Vehicles: $10k. Overhead: $10k. Total: $110k + $38.4k + $24k + $14.4k + $10k + $10k = $206.8k. Profit: $96k - $206.8k = -$110.8k. (Still a loss!) The problem: florist industry baseline is tough. Margins are 25-35% if you're efficient, but that needs full capacity. If you're operating 3 small shops with low volume, you're underwater. The custom software doesn't change profitability directly—it changes the math if you can (1) increase order volume (by better visibility + efficiency, take on 50% more orders with same team), or (2) reduce manual overhead (save 30+ hours/month in order coordination, which is labor saved). Let's assume custom software enables +25% order volume (better fulfillment visibility means you can take on rush orders, cross-shop flexibility means Shop A can fulfill Shop B order if Shop B is backed up). 250 orders × 1.25 = 312.5 orders/month. Revenue: $32/arrangement × 312.5 × 12 = $120k/yr. Costs stay same (same team, same rent). Profit: $120k - $206.8k = -$86.8k. Still loss! But now if software saves 30 hours/month of owner's coordination time, that's 360 hours/yr of owner time reclaimed (at $35/hr owner equivalent wage) = $12.6k value reclaimed, plus ability to take on more weddings (higher-margin, $200-500 per arrangement, vs $32 average). If owner reclaims 360 hours and pivots to 10 wedding bookings/yr (currently does 5), at $300 average margin per wedding = $3k extra profit. Total year-2 impact: +$12.6k + $3k = +$15.6k profit improvement. Plus savings from Floranext elimination: $14.4k. Total year-2 benefit: $14.4k + $15.6k = $30k net positive (vs year-1 cost of $60-80k). Break-even: month 20-24. Not as aggressive as pool service ROI, but still positive.

What Custom Replaces: Six Features Multi-Shop Florists Need

1. Unified Order Dashboard Across All Shops + Inventory Visibility

Owner logs in. Dashboard shows: "Today: 18 orders pending (Shop A: 6, Shop B: 7, Shop C: 5). Inventory: roses 400 stems available (Shop A: 150, Shop B: 120, Shop C: 130). Deliveries: 14 orders scheduled today." Owner can see in real-time which shop is backed up (Shop B has 7 orders, 2 are complex weddings, shop florist is slow), which shop has capacity (Shop C has 5 orders, normal pace). Owner can reassign: "Wedding arrangement due today at Shop B, but florist is slammed. Move to Shop A (less busy)." System auto-checks: "Shop A has 150 roses available (wedding needs 80 roses). OK to move. Moving order ID 2843 from Shop B to Shop A." Shop A florist gets notification: "New wedding arrangement assigned (Order ID 2843, 80 roses, 50 carnations, delivery 5pm). Deadline: 2pm to be on delivery truck." Shop B florist is notified: "Order 2843 reassigned to Shop A." Inventory is real-time (as each shop uses roses, count drops in dashboard: Shop A uses 80 roses, inventory shows Shop A now has 70 roses available). Owner can see: "We're low on roses across all 3 shops (only 130 stems left after morning's arrangements). Order 50 dozen roses from wholesale supplier ASAP (delivery tomorrow morning)." System can auto-alert: "Roses below minimum threshold (50 stems per shop × 3 = 150 total). Current: 130. Recommend wholesale order today to avoid stockout tomorrow." Owner approves, system sends auto-email to supplier: "Please confirm availability: 50 dozen roses (600 stems), delivery tomorrow morning, standard packing." Supplier responds (email), system flags response in dashboard: "Supplier confirmed 600 stems available, $120 (wholesale rate), delivery 6am tomorrow." Owner approves, supplier delivers, Shop A stocks 200 roses. Manual system (Floranext): owner checks Shop A (6 orders), logs out, checks Shop B (7 orders), logs out, checks Shop C (5 orders). Owner mentally tracks: "Shop B is busy, Shop A is slow. Wedding at Shop B uses 80 roses. Shop A might have roses (owner calls Shop A: 'Do you have 80 roses available?'). Shop A says 'yeah, about 100.' Owner reassigns order verbally, Shop A florist doesn't get formal notification (relies on owner to tell them), might miss order, or double-books their time. Inventory is manual (owner walks shop floor, counts stems, guesses consumption, orders flowers when he senses shortage (guesswork, not data). Supplier gets phone call: 'I need 50 dozen roses.' Supplier says 'I have 400 stems available, can deliver tomorrow, $130.' Owner says 'OK,' but no formal order (verbal agreement), supplier might forget, deliver at wrong time, or charge more later. Custom system: real-time unified visibility, auto-routing, auto-alerts, wholesale integration.

2. Recurring Order Automation (Sympathy, Office Plants, Wedding Prep)

Office manager (or customer self-service portal) creates recurring order: "Weekly sympathy bouquet for [customer name], every Monday, $45 each, deliver to [address], auto-charge customer's card, continue indefinitely." System auto-generates order every Monday at 5am: "Order ID 5023, recurring sympathy bouquet, $45, delivery Monday 10am-2pm." Florist gets notification, fulfills arrangement (same design every week, muscle memory), photo is captured at delivery, customer receives SMS: "Your weekly sympathy bouquet was delivered today 11:30am. Photo: [link]." Customer pays automatically (Stripe), $45 deducted, no invoicing, no chasing. If customer moves, system sends alert: "Delivery address for recurring order 5023 is out-of-range (moved to different postcode). Delivery cost is now $15 (was $8). Approve new delivery cost? [yes/no]." If yes, order continues, customer is charged updated price. If no, order pauses (customer notified). Wedding prep: bride books 6-month wedding, date is Oct 15. System auto-schedules: "4 weeks before (Sep 15): design consultation order, trial bouquet arrangement ($80, for bride to approve colors/style). 2 weeks before (Oct 1): final flower order (50 roses, 30 peonies, 40 stems greenery, $450, wholesale cost locked in). 1 week before (Oct 8): final confirmation order + delivery logistics (bride approves colors, delivery location, time window). Delivery day (Oct 15): wedding flowers delivered 6am, photo proof on arrival." Each order auto-generates at the right time, florist doesn't have to remember, bride gets consistency. Manual system: florist (or owner) manually creates order weeks later (or forgets), bride calls "where's my wedding order?", emergency scramble, wrong flowers ordered, bride is upset, bad review. Custom system: 100% reliability (automated, timestamped, audit trail).

3. Supplier Order Generation & Wholesale Integration

System sees: "This week's orders require 200 roses, 150 carnations, 80 peonies (in season), 150 stems greenery." System queries 4 wholesale suppliers in real-time (via API): Supplier A: "200 roses $80, 150 carnations $45, peonies out-of-stock, 150 greenery $20. Total: $145." Supplier B: "200 roses $85, 150 carnations $42, 80 peonies $60, 150 greenery $18. Total: $205." Supplier C: "200 roses $90, 150 carnations $40, 80 peonies $55, 150 greenery $25. Total: $210." System recommends: "Best overall cost is Supplier A + Supplier C (roses from A, peonies from C) = $145 + (peonies $55) = $200 total." System auto-generates purchase order email (or integrates with supplier's ordering system): "Supplier A: please confirm availability and deliver by [date]. Order: 200 roses ($80), 150 carnations ($45), 150 greenery ($20). Total: $145. Delivery address: [shop address]. Invoice to [business account]." Supplier confirms, order is locked in (no back-and-forth), delivery arrives on schedule. Florist receives confirmation in dashboard: "Wholesale order confirmed with Supplier A. Delivery: [date] [time]. Cost: $145." Delivery arrives, florist updates inventory (200 roses logged, inventory count goes up). Manual system: florist calls Supplier A ("I need 200 roses, 150 carnations, greenery, when can you deliver?"), supplier responds over phone ("I have 180 roses, 150 carnations, peonies are expensive this week $70/stem, greenery $25 per bundle—that's a lot, might be pricey"). Florist then calls Suppliers B + C (comparison shopping, slow). Decides on Supplier A, but by then Supplier A might be out of peonies (sold to another florist). Florist has to substitute (roses instead of peonies, customer disappointed). Custom system: real-time supplier comparison, best cost automatically selected, auto-ordering, locked-in pricing, zero friction.

4. Delivery Route Optimization & Real-Time Driver Tracking

Today: 14 orders to deliver (12 same-day, 2 next-day). System calculates: "Optimal route for Driver 1: start 9am at Shop A (pick up 5 orders), deliver [postcode 2000]: order ID 101 at 9:15am, order ID 102 at 9:35am, order ID 103 at 9:55am. Travel to postcode 2010 (5 min), deliver order ID 104 (10:05am), 105 (10:25am). Lunch break 11am-12pm. Travel to postcode 2020 (8 min from 2010), deliver order ID 106-110 (12:15pm-1:45pm). Route complete by 2pm, 10 deliveries, 5 hours work." Driver (via mobile app) sees optimized route: "10 deliveries today. Start 9am at Shop A, pick up 5 orders. Next: [address 1], [address 2], [address 3], [address 4], [address 5]. Then lunch. Then [address 6-10]. Turn-by-turn directions to each address. Estimated time per delivery: 15 min." Driver navigates to address 1, arrives 9:15am, knocks on door, customer answers, driver shows arrangement, customer approves, driver takes photo (app captures timestamp + geolocation), customer is emailed SMS instantly: "Your arrangement was delivered by [driver name] at 9:15am. Photo proof: [link]. Thanks for your order!" Driver rates delivery as complete (1 tap), moves to next address. Real-time: dispatcher can see "Driver 1 is currently at [address 5], finished delivery at 10:05am. Next delivery in 5 min. Driver 2 is behind schedule (delivery at [address 6] should have been 2:15pm, but traffic, now 2:35pm). Estimate completion 4:15pm instead of 3:45pm." Dispatcher texts Driver 2: "You're running 20 min late. Next customer OK with 2:50pm delivery? System auto-texts customer: "Your delivery is delayed to 2:50pm due to traffic. Driver [name] will confirm 30 min before arrival. Sorry for the wait!" Customer responds "OK, I'll be home at 2:50pm." No missed deliveries, no surprises. Manual system: driver has list of 10 addresses, chooses route (drives inefficiently, might hit traffic, takes wrong turns, wastes 45 min driving, completes only 8 deliveries by day-end, 2 orders are pushed to next day). Customer waits all day for delivery ("should arrive 2pm"), no update, shows up at 5:15pm (customer not home, package left on porch, customer upset "you didn't call, I left the house at 3pm"). Dispatcher doesn't know driver is late until driver calls at 4pm (retroactive, too late). Custom system: optimized route, real-time tracking, customer communication, zero wait, zero missed deliveries.

5. Photo Documentation & Customer Proof-of-Delivery

Driver delivers order to customer. App prompts: "Take photo of arrangement at delivery." Driver snaps photo (arrangement on doorstep, recipient visible, timestamp). Photo uploads to cloud, linked to order. System sends customer SMS: "Your arrangement was delivered today 9:15am by Driver [name]. Photo: [link]. Rate this delivery: [5-star review link]." Customer clicks link, sees photo, confirms "yep, looks beautiful," leaves 5-star review. Florist sees: "Order 101 delivered with photo proof. Customer satisfaction: 5 stars. Photo shows professional arrangement presentation (roses arranged neatly, greenery placed properly, customer is smiling). Good execution." For complaint cases (customer says "arrangement was damaged, wilted"), florist can reference photo: "Customer claims damage, but delivery photo shows arrangement was perfect. Damage happened after delivery, not our fault. No refund issued, customer directed to contact supplier if perishable issue." Florist is protected (photographic evidence). Manual system: driver delivers, customer asks "did you take a photo? I need proof for my insurance claim." Driver says "no, didn't think of it," customer has no proof, florist has no proof, customer claims damage (florist has to trust customer or refund). Custom system: automatic photo capture, instant customer proof, florist liability protection.

6. Australian GST Compliance, Wholesale Pricing, Sydney Flower Market Integration

Florist operates in Australia (NSW). All arrangements are subject to 10% GST (Goods and Services Tax). System auto-calculates: "Arrangement sold to customer for $45 (inc. GST). GST component: $4.09. Price ex-GST: $40.91." Tax return time (end of quarter), system auto-generates: "Total sales (3 months): $120k (inc. GST). GST collected: $10,909. Total wholesale purchases: $50k (inc. GST). GST paid on inputs: $4,545. Net GST payable to ATO: $10,909 - $4,545 = $6,364." Accountant downloads report, submits to ATO, simple. Sydney Flower Market (major wholesale hub for NSW florists): system integrates with market's daily price feeds (market publishes "today's rose prices: $0.80 per stem, carnations $0.35 per stem"). System uses live pricing: "Customer orders 80-stem rose bouquet. Current Sydney Flower Market price: $0.80/stem × 80 = $64 wholesale cost. Florist markup: 100% (standard for retail). Retail price: $128 inc. GST = $116.36 ex-GST." If market price spikes (Valentine's Day: roses jump to $2.00/stem), system auto-adjusts: "Rose prices spiked today. Recommend retail price increase to $200 for 80-stem bouquet (maintain 100% markup). Customers booking today will see new price." Florist can override (accept lower margin), or hold order until prices stabilize. Perishable inventory: system tracks: "Roses ordered Monday, delivery Tuesday, shelf-life 5 days, dispose Friday." System alerts: "Thursday evening: 60 roses received Tuesday, 30 have been used, 30 remain on shelf. Disposal deadline: Friday EOD. Discount remaining 30 roses to $20/bunch (cost: $24 to dispose as compost waste otherwise, better to offer discount to customer via special offer email)." Florist sends email: "Last-minute special: 30 premium roses available tomorrow, $20/bunch (normally $45). Perfect for bulk orders, office arrangements. Order by midnight." Customer orders, 30 roses are used, zero waste. Manual system: florist has no automated pricing (quotes prices from memory, often undercuts without realizing market spike or waste), no GST calculation (mixes inc./ex-GST, makes mistakes), no inventory expiry tracking (roses wilt, are thrown out, $40-50 per day waste), no market integration (florist drives to Sydney Flower Market physically to check prices). Custom system: live market pricing, automatic GST handling, waste minimization, real-time decision support.

Australian Florist Industry Context & Perishable Inventory

Australian florist market: ~4500 independent florists (retail shops, wedding specialists, event coordinators). Operator types: solo florist (1 person, 20-50 orders/month), small shop (2-3 staff, 100-200 orders/month), multi-shop chain (3-10 locations, 500+ orders/month). Revenue range: solo $60k/yr, small shop $200k/yr, multi-shop $500k-2M/yr. Florist industry margin: 35-50% gross margin (high perceived price, but flowers are expensive wholesale + labor is skilled + waste is 15-20% of inventory). Peak seasons: Valentine's Day (Feb, +300% volume spike, roses cost 3-4x normal), Mother's Day (May, +200% volume), weddings (Oct-April spring/summer). Off-season (Jun-Aug): 30-40% volume drop. Perishable inventory is critical: roses last 5-7 days, peonies 10-12 days, greenery 2-3 weeks, carnations 10-14 days. Waste cost: $30-50/day for small shop (unsold inventory disposed), $150-200/day for multi-shop. Supplier relationships: most Australian florists buy from wholesalers (Sydney Flower Market, Interflora wholesale, local growers, imported suppliers). Floranext adoption is 40-50% of small shops (rest use spreadsheets or manual POS). Custom software opportunity: Australian GST compliance is mandatory (ATO audits florists, fines for incorrect GST handling), perishable inventory tracking is unique (floral business-specific), Sydney Flower Market API integration can save hours of price-checking.

Six FAQs

Can we scale to 10 shops with the same system?

Yes, linear scaling. 3 shops × 250 orders/month = 250 orders/month. 10 shops × 250 = 2500 orders/month (10x volume, same system). Cloud server cost stays $3k/yr (scales to 10,000 orders/month). No per-shop licensing creep (Floranext would cost $99-249 × 10 = $1-2.5k/month). Custom system: flat $3k/yr, regardless of shop count.

How do we handle peak season (Valentine's Day +300% volume)?

System is designed for peak load. Valentine's Day: 250 orders/month becomes 1000 orders (4x). System auto-scales (cloud server spins up extra capacity, costs $500 extra that month). Delivery routing auto-optimizes (more orders, more drivers, system batches into more routes). Florist staffing increases (hire temp florists for Feb), system accommodates. No software bottleneck (SaaS like Floranext often crashes on peak days, Florist gets locked out, can't process orders, loses sales).

Do customers need to learn a new portal, or is it transparent?

Transparent. Customers order via website (same as before). Custom system processes order in background (routes to correct shop, schedules delivery, sends SMS updates). Customer sees SMS: "Order confirmed. Delivery: [date], [time window]. Track your delivery: [link]." Customer doesn't know there's a new system (doesn't matter, they just want flowers on time with nice photos).

What if a wholesale supplier's API goes down?

Fallback: manual ordering. System alerts florist: "Supplier A API is down. Pricing data is 6 hours stale. Recommend calling supplier for current pricing, or switch to Supplier B (API is up, pricing is live)." Florist chooses, system continues (no hard stop). Once API is back, system re-syncs pricing automatically.

How do we handle wedding cancellations or last-minute changes?

Weddings are recurring orders with a fixed date. If bride cancels 2 weeks before, system auto-flags: "Wedding order for Oct 15 is cancelled. Wholesale flowers ordered: 50 roses ($40), 30 peonies ($60) due to arrive Oct 8. Can you cancel with supplier? Or pivot to another event?" Florist confirms cancellation (or changes order to a different event), system updates wholesale order accordingly. If supplier already shipped, florist eats cost (loss on that event), but system captures it (shows "Oct order loss: $100 due to cancellation") in analytics (helpful for post-mortems, insurance claims).

What about seasonal flowers or supply chain disruptions (drought, flooding)?

System shows "Peonies are out of season (Jun-Aug, normally out-of-stock or 3x price). Recommend: carnations + roses for summer bouquets instead." Florist designs alternative arrangements. If supply disruption happens (grower flooding, roses can't be imported), supplier sends alert via API: "Roses unavailable until next week." System auto-notifies florist: "Roses are out-of-stock from all suppliers. Recommend: carnations substitute, or delay orders 1 week." Florist communicates with customers, adjusts pricing/delivery, zero surprises.

The Bottom Line

Floranext + Interflora network fees = $14.4k/yr licensing for 3-shop operator. Plus manual order coordination (30+ hours/month) = $50k/yr labor cost (owner's reclaimed time). Plus wholesale supplier inefficiency (manual email ordering, guesswork on pricing) = $10k/yr in over-purchasing or missed opportunities. Custom platform costs $60-100k upfront, $3k/yr hosting. Year 1: $60-100k. Year 2: $3k + labor reclaimed ($50k) + licensing savings ($14.4k) + wholesale efficiency ($10k) = $74.4k net positive. Break-even month 14-18, then pure savings or growth. Build custom. Own your order routing (no per-shop SaaS creep). Own your recurring workflows (weddings, sympathy, office plants—automated, zero friction). Own your supplier relationships (real-time pricing, best-cost optimization, zero lock-in). Own your compliance (Australian GST automatic, perishable waste tracked, audit-ready). Own your delivery logistics (photo proof, customer confidence, driver efficiency). At 250 orders/month ($408k/yr revenue), custom platform reclaims $74.4k/yr by year 2. Break-even month 16-20, then pure savings + upsell capacity (weddings have 2x margin vs retail arrangements).

Ready to build a custom florist platform? Check Aidxn's custom software packages, or book a call to discuss your current operation (how many shops?, how many orders/month?, Floranext or spreadsheets?, supplier relationships?, peak-season pain points?), licensing costs, and growth targets (scale to 10 shops?, expand to other regions in Australia?).