OPIS Fuelstradamus uses data science and machine learning to predict gas price movements 24 hours in advance in local markets. This service helps users determine whether pump prices will increase, stay steady, or decrease, enabling them to make informed decisions about fuel purchases. By applying advanced data analysis to wholesale prices from refineries and liquid terminals, OPIS creates an accurate predictive algorithm for price moves. With an average financial accuracy approaching 90%, customers can rely on these predictions to achieve real cost savings. Fuelstradamus is delivered through an API for U.S. gasoline prices, making it accessible for integration into various platforms.

Features:

• FLEETS: Time fill-ups when gas prices change to minimize fuel expenses.

• AUTOMAKERS/OEMs: Incorporate into connected car technology as a cost-saving tool for drivers. Increase brand loyalty. Drive sales on the showroom floor.

• TRAVEL WEBSITES/APPs: Provide predictions to drivers to increase value of your service.

• Fleet companies can help drivers determine the best time to fill up company vehicles, adding significant savings to the organization’s bottom line.

• Auto manufacturers can add this intelligence into connected car technology helping drivers save on fuel purchases. Consumer sentiment around fuel spending is negative, so positioning your car brand as a cost-savings tool to consumers will drive brand loyalty and help dealerships sell vehicles on the show room floor.

• Fuel predictions are made at a county level 4x/day, updating based on the latest available data.

• An API provides data output in two ways: (1) Return the county for the user based on their location information (latitude/longitude) and (2) Calling our predictions for all counties at once and storing it internally 4x/day and in turn pushing the predictions to users via existing data dissemination channels.