Food and restaurants
Serve the Right Food 
at the Right Time
Anticipate weather-driven demand shifts and customer footfall to reduce waste, improve availability, and run food operations more efficiently.
Plan your business better with weather and location data
To ensure that the weather doesn’t get in your way, we create demand and sales forecasts, taking into account key factors such as weather, season, calendar and location. This allows you to optimize your processes from supply to personnel. With our Footfall- and Location Insights, we also provide you with well-founded key figures and insights about your customers.
OUR OFFER
Possible Use Cases
Offer optimization with weather-driven forecasts
We uncover relevant weather effects for you so that you can adjust your offer accordingly and reduce food waste. Using machine learning and predictive analytics, we can adjust your forecast for weather effects or create your forecasts from scratch.
Location analyses & frequency measurement
With our location-based analyses and reports we provide you with important key figures about your guests and compare your location with your competitors.
Weather-optimized sales and personnel planning
We analyze how many customers can be expected in certain weather conditions and show you what this means both for your personnel planning and the expected turnover.
Weather targeting & campaign optimization
We "weather-optimize" your campaigns for different channels (Google Ads, Social Media, onsite ...), increase your conversation rate by up to 80% and make sure that your campaigns for your food-products are turned off automatically when the weather predicts much less demand.
Questions we can answer
What weather conditions are good for my business? How much of my turnover is due to the weather?
How I can ensure to not run out of stock for certain food-products?
How can I reduce food waste through considering weather?
What effects do actions and promotions have?
Where do my guests come from?
On which days can I expect the most sales? How do I best plan my staff?
What other factors does the success of my location depend on? (other hotspots in the area, advantage of occasional customers, ...)
