Urban Science today announced the release of its End of Month Forecasting module, which delivers daily visibility into projected vehicle sales performance to automakers doing business in the U.S.  This offering identifies shifts in market conditions before month-end results are finalized, empowering users to act on emerging opportunities and risks sooner than traditional sales reporting allows.

Projected sales outcomes are available as early as day one and can be filtered by geography, brand, segment, model and powertrain. As new sales results arrive, forecasted values are continuously enriched with actuals, increasing confidence in the forecast over time.

The End of Month Forecasting module is available in Urban Science’s MarketView, Market Flash Mobile and MarketGrowth solutions, through which OEM teams can analyze projected outcomes within the same environments they use for daily sales decision-making.

Key Benefits for Automotive OEMs 

  • Deeper forecasting visibility: Track forecasts at a detailed geographic level with insights powered by 24,000 AI-infused machine learning models optimized monthly. This enables teams to identify distinct seasonal patterns, trends, cycles and calendar effects across geographies, brands and segments.
  • More time to influence outcomes: Daily, in-month visibility helps teams spot underperformance early, enabling adjustments to incentives, marketing focus areas or sales execution while results are still influenceable.
  • Greater confidence in decision-making: Users can validate or challenge internal forecasts with independent, market‑wide signals. This creates a more reliable view of where the month is headed.
  • Better protection of spend and margin: Earlier insights reduce the risk of late overcorrection, wasted incentive dollars and reactive decisions that can pressure profitability. 

The Urban Science Difference 

Historically, most sales forecasts have been industrywide, or only project vehicle sales outcomes near the month-end. That delay leaves OEMs with little time to react to sales trends and other fast-changing market dynamics, resulting in missed opportunities to drive efficiency and profitability across users’ retail sales networks.

Urban Science’s unrivaled industry sales data, updated daily, historical performance patterns and calendar modeling create a continuously updated month-end sales forecast that delivers early visibility into emerging performance trends, giving OEMs more time to plan and adjust as market conditions evolve.

The module’s bottom‑up modeling approach builds forecasts using detailed geography, brand, segment, model and powertrain data, helping preserve accuracy at granular levels where other forecasting methods lose precision. End of Month Forecasting is one example of the analytical engine supporting SciAI, the company’s intelligence framework that unifies its AI capabilities across its core capabilities and solutions.

Those interested in demoing or learning more about End of Month Forecasting can click here or reach out to their Urban Science representative.