Predictive Maintenance · Real-time Analytics
Dallas Fort Worth International Airport needed to absorb a historic expansion and rising passenger volumes while delivering over 20% efficiency in operations and maintenance, improving customer experience, and shifting airport management from reactive response to proactive control.
Reported impact
Within just over a year, DFW used the platforms to reduce peak congestion by roughly 24%, cut reaction times from tens of minutes to seconds, raise maintenance efficiency by more than 20%, and increase maintenance completion from around 80% to over 90%, while transferring ownership of the platforms to DFW teams.
Dallas Fort Worth International Airport worked with BCG to embed AI directly into frontline operations as it expanded the airport by about 20% and prepared for more than 100 million passengers a year. After a workshop with operations, public safety, maintenance, engineering, and technology teams, the program focused on two production platforms. AWARE (Advanced Warning and Response Exchange) fuses more than 10 real-time data streams and generates over 120,000 predictions a day across 26 key roadways so operations, police, and ground transport can act on congestion before it escalates. In parallel, the Resource Scheduling Optimizer combines workforce availability, maintenance demand, work-order history, sensor data, and condition data on an asset-health foundation, then serves technicians a digital work application, optimized schedules, and an asset-manager cockpit. BCG initially led delivery and then transferred ownership so DFW could operate and extend the platforms itself.
More than 10 real-time data streams feed AWARE, which produces roadway and curbside predictions for operations, police, and ground transport teams. Separately, work-order history, sensor data, and condition information feed the asset-health foundation, which powers the Resource Scheduling Optimizer and asset-manager cockpit to dispatch technicians and guide asset decisions.
"AWARE (Advanced Warning and Response Exchange), is DFW's airport flow management platform"
"AWARE fuses more than 10 real-time data streams and generates over 120,000 predictions a day across DFW's 26 key roadways"
"DFW deployed a set of AI-enabled platforms to support frontline teams in making faster, better decisions"
"The Resource Scheduling Optimizer gives maintenance teams an AI-powered way to plan and dispatch work"
"is estimated to have reduced or abated peak congestion by roughly 24% and compressed reaction times from tens of minutes to seconds"
"lifting maintenance efficiency by more than 20%; from reactive, time-based work to proactive, preventative maintenance, with completion climbing from around 80% to over 90%"
"the platforms are now owned and operated by DFW"
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
NVIDIA Sample May 13, 2026 SNCF Gares&Connexions SNCF Gares&Connexions needed to understand and optimize safety, passenger flow, energy use, and maintenance across large rail stations, but manual monitoring and disconnected building systems could not simulate or… 100% of preventative maintenance completed on time Akila digital twin platform · NVIDIA Metropolis · NVIDIA Omniverse 
Snowflake Sample Modified · Sep 4, 2026 Eutelsat Group GEO and LEO satellite operations generated petabyte-scale telemetry that needed unified storage, cross-domain access, and AI-driven outage prediction without adding major platform-management overhead. $2M savings in just six months Apache Iceberg · Cortex AI · Cortex Analyst NVIDIA Sample Aug 25, 2026 Siemens Siemens needed to help industrial teams overcome fragmented engineering tools, labor shortages, and slow design and maintenance workflows so they could design, simulate, and operate complex products and factories faster… 10%–15% reductions in capital expenditure NVIDIA CUDA · NVIDIA DGX B200 · NVIDIA DGX H200 
