WUD Homes designs and retails premium wood furniture — dining tables, bed frames, bookshelves, and storage — crafted to last. Beautiful products. The store, however, was doing them a disservice. Furniture has a high-consideration purchase cycle: customers need to visualise scale, understand materials, verify dimensions, and feel confident about delivery before clicking buy. The default Shopify product page addresses none of this. We built the components that do.
Images showed beautiful furniture in styled rooms, but there was no way for customers to understand actual dimensions relative to their space. No measurements overlay, no room size guide, no scale reference in photos.
Products available in multiple wood finishes and fabric options showed variants as text dropdowns. Customers had no context about what "Sheesham Natural vs Walnut Finish" actually looked like or felt like.
No visible delivery timeline, no information about assembly, no clarity on whether they would deliver to the customer's floor. For a 40,000 purchase, these unanswered questions were sending people away.
The support team was handling 60+ chats per day — almost entirely basic questions: "What are the exact dimensions?", "Do you deliver to my area?", "Is assembly included?". The product page should answer these.
Built a custom dimensions display with a room-fit guide — customers input their room size and the component shows whether the product fits comfortably, fits tight, or is too large. Reduces purchase anxiety dramatically for large items.
Replaced dropdown selectors with visual material tiles — large swatches with names, close-up texture photos, and material descriptions (grain pattern, hardness, care requirements). Customers now make material decisions confidently.
Built a dynamic delivery estimator (pincode-based delivery date), an assembly service selector (self-assembly vs professional installation), and an explicit delivery scope declaration (white-glove or kerbside). Support queries dropped 31%.
For the top 20 SKUs, built a configurator that lets customers choose finish, fabric, and size while seeing the price update live. Selected configuration generates a cart line item with the custom variant encoded.
Integrated a lightweight AR-lite room visualiser — customers upload a photo of their room and see the product overlaid at correct scale. Works in-browser, no app download required.
Installed and customised Judge.me with photo review incentives. Product pages now show room photos from real customers — the most powerful trust signal for furniture. Average review count per product went from 0 to 8 in 90 days.
The sequence of work, week by week.
We only publish case studies where we can show real, verifiable metrics tied to Shopify data — but every brand's starting point is different. WUD Homes's results reflect what was possible given their specific gaps; your results will depend on where your store, tracking, and funnel currently stand.
Timelines vary by scope, but most engagements follow the same pattern: a diagnostic phase in week one, then delivery in two-week sprints. See the sequence above for how this specific engagement was paced.
We won't promise a specific number without seeing your data first. What we can promise: a diagnostic that tells you honestly whether the same class of fix applies to your store.
The underlying levers — tracking accuracy, checkout friction, funnel structure — are largely industry-agnostic. See our industry pages for category-specific context.
Tell us about your store — we'll tell you exactly where the revenue opportunity is and what it would take to capture it.
