Data Management
Datasets (1) Generate Import Logs
Generate Synthetic Data

Uses eo generate events to create synthetic history from your catalog. Ticket sales follow a built-in demand model — overpriced events fill less, marketing lifts attendance with diminishing returns, weekends/holidays/summer boost demand, big venues are harder to fill, and catering & quality spend build a venue's reputation, lifting attendance at its next event. 1000+ events recommended — the reputation signal needs many repeat events per venue to be learnable. Generation runs in the background.

Generating into an existing dataset appends to it — useful for growing a training set. Use a new name to keep experiments separate.

Advanced — demand model tuning

Models cannot predict beyond their training data — outside it, predictions plateau. Make sure the generated data covers the ranges you plan to optimize over (especially ticket price: widen the spread or raise the cap if you want the optimizer to explore higher prices).