15,097 AI visualisations in one garden season
Tuinmeubelshop.nl runs 16 XXL showrooms in the Netherlands and still added Zieny AI to its product pages. In the last three months shoppers clicked the AI button 21,505 times and generated 15,097 renders of high-value garden sets in their own garden.
- Category
- Garden furniture & lounge sets
- Showrooms
- 16 XXL stores in the Netherlands
- Order value
- High-end sets, often above EUR 1,500
- Markets
- NL / BE
15,097
AI renders in 3 months
21,505
AI button clicks
2h
From feed to live
The challenge
Why Tuinmeubelshop.nl came to us
A garden set is one of the biggest purchases of the season. Shoppers want to know whether a 150 cm round table with six chairs actually fits their terrace before they spend well over a thousand euros.
Studio photography on a white background answers none of that. It shows the product, not the space, so people postpone the decision or drive to a showroom first.
Tuinmeubelshop.nl has 16 XXL showrooms, but a showroom shows the furniture in someone else's setting. The question that really matters, how it looks at home, can only be answered in the customer's own garden.
What we built
The Zieny setup at Tuinmeubelshop.nl
View in your garden, on the product page
A green "View in your garden" tile sits in the product gallery next to the photos. Shoppers notice it exactly where the doubt appears, without leaving the page.
Four guided steps in Dutch
Welcome, upload a photo, tap the spot, and see the result. The flow is fully localised, so nobody has to translate an interface while deciding on a purchase.
Photoreal render of the real set
Zieny AI matches the perspective of the terrace, scales the table and chairs correctly, and matches daylight and shadow. The result is downloadable in 20 to 40 seconds.
Feed-driven across the catalogue
The product feed keeps every lounge set, dining set and parasol in sync, so new season collections get the visualiser automatically.
Live on product pages within 2 hours
The shopper flow
What a Tuinmeubelshop.nl customer actually sees
Click any step to see it full size.
1. The entry point
A "View in your garden" tile in the product gallery, right beside the studio photos of the Santika dining set.
2. Welcome
Three short lines explain what happens, plus a tip about lighting so the first render already looks right.
3. Upload a garden photo
Upload or shoot on the spot. Photos are used only for the render and are deleted automatically after 24 hours.
4. Place the set
One tap on the terrace marks the spot. The shopper stays in control of the composition.
5. Processing
A progress ring with an honest 20 to 40 second estimate keeps shoppers on the page instead of bouncing.
6. The result
The full seven-piece set appears at true scale on the customer's own brick terrace, ready to download or share.
Real photo, real render
Their room, their product
The customer's own garden photo on the left, the Zieny AI render on the right. Same terrace, same overcast daylight, with the Santika dining set placed at true scale and its own soft shadows.
The outcome
What changed
- 15,097 renders in three months, on exactly the high-value sets where hesitation costs the most.
- Shoppers answer the fit question at home, so fewer people postpone the decision until a showroom visit.
- The visualiser runs inside the existing product gallery, so the launch needed no redesign or developer sprint.
"Zieny takes Tuinmeubelshop.nl to the next level. With Zieny AI, customers can instantly see how furniture fits in their own garden. Fast, user-friendly and convincing. It makes shopping more fun and increases trust and sales."
Gerrit van der Garde
Founder, Tuinmeubelshop.nl
More client stories
Lighting & furniture
Straluma
Straluma added Zieny AI to its product pages. Engaged shoppers who used the visualiser converted at 3.12% against 1.91% without it: roughly 39 extra orders in the measured period.
Home furnishings
Home67
Home67 turns Zieny AI renders into social content for a younger audience. The visualiser brings new visitors to the store without paid ads, and shopper demand pushed usage more than 20% past the plan, so Home67 upgraded on purpose.