We’ve had a lot of interest already — from breweries, restaurants, hotels, and venues who want to better understand how weather impacts their foot traffic and sales.
Here are some of the most common questions:
This tool is built for hospitality operators who want to plan better and waste less. If you're managing:
A restaurant and wondering how weather affects reservations
A brewery taproom with big swings in weekend walk-ins
An event venue trying to avoid last-minute staffing chaos
A hotel juggling food and beverage staffing
A café or coffee shop adjusting prep for sunny vs rainy days
...this is for you.
It varies depending on your specifics, but more than you think.
We’ve seen swings of 10–30% in foot traffic driven by weather conditions alone. At the most extreme we had a large event that had great weather one year, and poor the next, which the model estimated a 50% impact on foot traffic as a result.
It’s not just sunny vs rainy — it’s the combination of temp, seasonality, time of week, and what came before that drives behavior. That’s where our model comes in.
Yes. That’s one of the top use cases.
If you're deciding between 3 or 5 people on the floor, whether to staff the patio, or when to bring in extra kitchen help - this model gives you a better sense of what demand might look like. It may also help decide whether to cover someone sick or not.
Obviously we can't guarantee anything, but our model gives you important visbility!
Absolutely.
Waste happens when you over-prepare. Lost sales happen when you under-prepare. If our model estimates traffic will drop 20% due to weather, you can reduce prep. If it’s up 15%, you can prep harder.
Weather apps tell you the weather.
We estimate the impact of that weather on your business.
Our model turns raw data into business insight - something you can act on when planning schedules, ordering inventory, or running events.
Yes — we’re actively looking for businesses excited to onboard now.
Join the waitlist and we’ll reach out as we expand to new cities and build out personalized models using your own data.
Absolutely! This was a major reason we built the model to start with.
How do you know how to forecast for next year, without really knowing the drivers for the current years results? If a busy weekend in 2024 was driven by a 30% bump due to amazing weather, should you forecast it 30% down for the next year? Hard to bring yourself to do, without having raw data from a model.
Additionally, we use this model at Reuben's Brews as part of our dashboard. We look at taproom visitors by day in the context of the model - so we know if it was our event, or the weather, that really drove visitors.
Custom users get access to:
Weekly weighted weather impact tailored to your venue
Historical analysis (e.g. “What happened last July 4th?”)
Event impact overlays (if you provide your calendar)
Private dashboards with forecasts just for your business
All built from your actual sales data — no guesswork.