Discover below some use cases to see how we can help you turn weather data into an advantage for your business
Case 1: Determine what’s the best period to sell your product according to weather conditions
Increase our sales by anticipating the most favorable periods for the application of our products in order to best advise our customers.
Two weather indicators: plant cooling requirement, to allow a better understanding of the needs of the plant and the climatic changes to adjust the thresholds if necessary; and degree days, to help act at the right time and at the right place.
This solution allows the sales team to predict the key periods to apply their products based on geographic location. There is better anticipation of demand, so the right product can be delivered at the right time and in the right quantity. The perceived value of the products increases with the distributors due to the optimized amount of inventory.
Case 2: Obtain customized weather information to better manage crop activities
To have customized weather information to help local farmers better manage their farming activities throughout the season
The goal is to have access to localized weather indicators to better anticipate what actions to take. The application presents the day’s weather and forecasts up to D+7, but also a focus on rainfall with different indicators such as the risk of a dry period, rain accumulation since the beginning of the season or a comparison of the current season with the last season. Finally, the user can also visualize a risk of pest outbreak and have advice on the treatment to be applied.
This solution is a real management tool for agricultural advisors who will be able to distribute relevant advice to farmers. The latter then have the right information to act at the right time and will be able to reduce their operating costs as well as the risk of damage.
Case 3: Improve the sales kit of your product
Analyze a disease risk indicator to identify high potential areas for our product.
Historical disease indicator. This is a combination of a weather risk with a pedestrian risk over 40 years of history. The disease algorithm provided by the client and soil data are integrated into the model. The objective is to understand the spatio-temporal development of this disease.
The solution allows to visualize at a glance the areas where the risk is present in order to deploy strategic marketing actions.