Home & Furniture (Lifestyle, Décor, Appliances)

Smart Décor Bundles for Every Room

goal

Challenge Faced

Customers often buy single items without knowing what matches, reducing cart value and slowing decision-making.

solution

Our Solution

We built an AI recommendation engine that suggests décor bundles (sofa + cushions + coffee table) or matching sets (curtains + rugs + lighting) based on design themes and past preferences.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Analyze product browsing and purchase history.

Step 2

Identify design themes (modern, rustic, minimal).

Step 3

Recommend complementary products in real-time.

Step 4

Present as “Styled Looks” or “Frequently Bought Together” bundles.

Quantifiable Benefits

Increase in average order value
%
Higher cross-sell revenue
0 %
Faster decision-making by customers
%
Stronger brand differentiation with curated shopping
0 %

Who’s Using This

Wayfair, West Elm, Urban Ladder

Innovation 1

D2C home decor startups

Innovation-2

Furniture eCommerce marketplaces

Private Surgical Training Institutes

Why It Matters

AI bundles not only boost revenue but also inspire customers, making shopping for an entire look as easy as buying one item.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

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