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Retail

Store Digital Twin & Simulation

A digital twin of the store (DataVerse™ + Mirra™ on NVIDIA Omniverse) to simulate layouts and customer flow, plan camera/AI coverage, generate synthetic training data, and validate AI before rollout.

Customer challenges

1

Testing layout changes or new AI on a live store is disruptive and risky; it's hard to plan coverage or train models for rare events using real data alone.

Customer benefits

De-risked, faster rollout; optimized layouts and coverage; models trained on synthetic edge cases; changes tested virtually before the floor.

Key features

Virtual store replica

A virtual replica of the store.

Layout & planogram simulation

Simulates layout and planogram changes before rollout.

Customer-flow simulation

Simulates customer flow through the store.

Camera & AI coverage planning

Plans camera placement and AI coverage before deployment.

Synthetic data generation

Generates synthetic training data from simulated scenes.

Sim-to-Real validation

Validates models in simulation before applying them to live feeds.

Before & after

Before Trial-and-error layout and camera placement on the live floor; rare events under-represented in training data. After — with Linker AI Nexa Layouts, coverage, and AI validated in simulation first, with synthetic data filling the gaps.