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Simulating Data Generation

Generating vast amounts of synthetic data can be done rapidly by computers, allowing for the creation of millions of contract variations in a fraction of the time it would take a human. However, when it comes to training autonomous systems, such as retail environments, a more complex approach is needed. By utilizing 3D simulations, it becomes possible to model diverse scenarios and interactions, effectively mimicking real-world conditions for better AI training.