Webinar: Forecasting with AI
Learn about how to forecast with machine learning – how it works, how to inspect accuracy and how to use forecasts in your operation alongside plans and goals.
With Dexibit, our machine learning models automatically train on your historic and actual performance, what’s on in and around your location, other data feeds such as weather and our unique, unified view of the visitor attractions industry. We provide fast, accurate and granular forecasts with the best prediction on any given day.
How is forecasting using machine learning used in visitor attractions?
- Strategic horizons: 1 year+
Recommended granularity monthly / weekly
Setting of annual budget, plan and goals, including with third parties and their targets. Alignment of high level program, such as major campaigns or special exhibitions.
- Planning horizons: ~3 months
Recommended granularity weekly / daily
Trajectory checks of plan or goal against actual and predicted. Hiring of seasonal staff and volunteer intakes. Scheduling of tours and groups. Alignment of detailed program, such as events. Initial advance pass ticket allocation release.
- Operational horizons: ~2 – 3 weeks
Recommended granularity daily / hourly
Rostering of front line staff including visitor attendants, guides, security, store, cafe, etc. Planning of operational services, such as cleaning. Perishable inventory purchase, such as food. Last minute advance pass release.
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