Applications

Harness the Power of Decision Dominance for...

The BigBear.ai Advantage

We bring four key advantages to our commercial customers

1

State-of-the-art tensor completion algorithm fills gaps and corrects dirty data - for example standardizing manually input qualitative metrics

2

1.8 billion places of interest tracked using multiple sources, including 28m restaurants, to help provide competitive and contextual insights

3

Computer vision and text exploitation at scale to derive custom insights, like measuring brand sentiment, signage quality, or store conditions

4

White-glove integration services ensure successful implementations that fully realize the anticipated value of our solutions

Commercial Use Cases

Space
  • “Decision Dominance” to support efforts with International and US government activities inclusive of, but not limited to, supporting real-time intelligence gathering, monitoring, control visualization, analysis and reporting of mobile assets in the field, as well as mobile force management applications to connect the deployed forces with remote assets and IoT sensors.
  • Multi-Int fusion of data from the Customer Space Solutions constellation and other multi-domain data sources (e.g., buoys, capacity from other IoT/EO constellations, human-int, etc.) utilizing the unique BigBear.ai skills that include Conflation, Spatial Analysis, Targetable Computer Vision, Tensor completion tools, et al.
  • Development and delivery of applications for mobile and fixed asset monitoring, search, object identification and analysis, pattern recognition/change detection, ground material analysis, land mapping, and climate monitoring for US Government and International Defense capabilities.
Transportation
  • Tracking and comparing the performance of different vehicles, staff, routes, regions, and markets, including identification of anomalies and recommending actions for shaping performance towards desired outcomes.
  • Modeling vehicle behaviors within complex operating environments to identify safety risks and the specific indicators which drive risk by locality.
  • Improving data mining of capture data from asset sensors, possibly creating to market opportunities (for example, business activity level, construction rate, or infrastructure condition reporting).
  • Detecting and forecasting trends in markets and providing advice on revenue generating opportunities.
  • Evaluating inorganic growth opportunities.
  • Providing competitive intelligence.
  • Forecasting congestion, demand, prices, and availability of vessels/vehicles and commodities/products/services.
  • Identify course of action which optimize pricing, routing, staffing, and investments to achieve desired targets like revenue, market share, operations costs, morale, and more.
Retail
  • Explore mechanisms to improve the standardization, consistency, accuracy, and timeliness of operational metrics relevant for modeling, like various point of sale, stock level, and fulfillment inputs.
    • Automation of franchise metric generation, like “visibility of signage” or “store cleanliness,” to remove qualitative variance.
  • Identifying prescriptive steps to optimize revenue from under-performing franchises.
    • Creating recommenders for order routing, pricing, promotions, or other opportunity targets to optimize towards changeable goals.
    • Tracking and comparing the performance of different restaurants, owners, customer segments, and markets, including identification of anomalies. Recommend actions for shaping performance towards desired outcomes.
  • Improving forecasts of demand, supply, and other metrics leveraging contextual reasoning across multiple domains.
  • Discovering and evaluating sites for new stores.
    • Forecasting long-term revenue growth opportunities and hidden cost drivers for locations under consideration during the site-selection process.
  • Providing competitive intelligence.
    • Surfacing hidden revenue opportunities for existing franchises by identifying and exploiting competitor weaknesses.
  • Automating business systems reconciliation and integration, replacing tedious and repetitive manual processes with bots.
  • Detecting and forecasting trends in markets and providing advice on revenue generating opportunities.
  • Improving brand awareness in the information environment and planning marketing campaigns to achieve the biggest return on investment and desired effect.
  • Evaluating inorganic growth opportunities.