Every spring, the same scenario happens: exceptional weather, a local event... and visitor numbers explode. Saturated parking lots, queues, and a degraded visitor experience.
The new "Prediction" function directly integrated into Eco-Visio is a game-changer: instead of reacting, tourism teams and site managers can anticipate peaks and act before saturation occurs.
In a nutshell: Eco-Visio now offers hourly visitor forecasts over 4 rolling days, enriched by weather, local calendar and seasonality, based on your site's actual history (up to 1 year of hourly history).
For tourism teams (offices, destinations, local authorities), the challenge is not just to "measure" visitor numbers, but to coordinate:
Without reliable forecasts, managers sometimes communicate too late and the consequences are well known:
The Prediction feature integrated in Eco-Visio provides a forecast for each counting site (as part of the EXPERT offer):
Tourist periods often come down to a few details: a weather report, a bridge, a market, a race, a festival...
With 4 days' visibility, you can :
Prediction is not just an internal tool: it enables you to communicate earlier and more clearly.
Depending on your strategy, predictive visitor numbers can be relayed :
Objective: provide guidance before the site exceeds its capacity. It's a concrete lever for more sustainable tourism: distribute flows, protect sensitive areas and preserve visitor quality.
(For more details on this point, see how the managers of the Tabular Mountains park in Poland have managed to better distribute visitor numbers over time and space on this natural tourist site).
For a destination, anticipation is a governance tool:
We also know that peak periods don't just affect natural sites. In cities, too, crowds can be concentrated around particular events (heatwaves, public holidays, etc.): riverbanks, parks, historic centers, cycling routes, events.
Prediction enables us to anticipate :
| What you get | Why it's useful |
|---|---|
| 4-day time forecasts | Plan reception, teams and operational arrangements |
| Low/high limits + central value | Decide with transparency on the reliability of the prediction |
| Model trained on your local history | Forecasts adapted to your site's actual behavior |
| Automated updating | Updated forecasts with no additional operational burden |
Contact us to find out more about the robust scientific methodology behind this feature, or request a feature demo!