Home & Furniture (Lifestyle, Décor, Appliances)

AI That Predicts Home Décor Trends

goal

Challenge Faced

Furniture & décor trends shift quickly, leading to stockouts of popular items or overstocks of outdated designs. Manual forecasting is too slow.

solution

Our Solution

We deployed AI-driven demand forecasting to predict fast-moving décor trends and optimize inventory planning.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Collect sales + seasonal demand data.

Step 2

Incorporate external signals (search trends, Pinterest boards, market data).

Step 3

Forecast demand at SKU + region level.

Step 4

Automate replenishment and stock transfers.

Quantifiable Benefits

Reduction in stockouts
%
Lower inventory holding costs
0 %
Improved forecast accuracy
%
Faster response to viral product trends
0 %

Who’s Using This

IKEA, Target, Ashley HomeStore

Innovation 1

Online furniture retailers

Innovation-2

Supply-chain heavy home décor brands

Private Surgical Training Institutes

Why It Matters

Smart inventory management reduces capital lock-up, ensures availability of trending products, and keeps customers loyal.

case studies

Real Results. Real Impact.

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