OAG Data Boosts Coboticsais Aviation Forecasting

Cobotics-AI, in collaboration with OAG, leverages OAG's flight schedules and real-time status data to build the Touchstone platform. This platform provides customers with insights into global market capacity and load factors, enabling them to optimize routes, mitigate risks, and improve decision-making efficiency. Ultimately, this leads to significant cost savings and enhanced profitability.
OAG Data Boosts Coboticsais Aviation Forecasting

In the fast-paced world of global logistics, the ability to anticipate disruptions before they occur has become a game-changing advantage. One company is turning this vision into reality through artificial intelligence, offering what might be considered a "crystal ball" for the aviation logistics sector.

Cobotics-AI: The Cognitive Decision Engine

Cobotics-AI has emerged as a leader in cognitive decision-support solutions, specializing in helping logistics enterprises harness AI to predict operational challenges and optimize supply chains. Their technology enables companies to adjust routes, manage inventory, and avoid costly delays caused by flight cancellations or schedule changes.

The company operates through three core service pillars:

  • Exploratory Data Analysis: Mining complex datasets to uncover hidden patterns and operational insights
  • Predictive Modeling: Developing AI-driven forecasts for market demand, capacity fluctuations, and logistical bottlenecks
  • AI/ML-as-a-Service: Providing turnkey machine learning solutions without requiring clients to build complex in-house platforms

Their flagship platform, Touchstone, has demonstrated particular success in the logistics sector. By analyzing historical market data through advanced machine learning algorithms, the system predicts how economic and industry trends will impact transportation networks.

The Data Challenge in Aviation Logistics

Traditional logistics operations face significant hurdles in data management. Many companies still manually compile flight schedule information from disparate sources, leading to:

  • Time-consuming data aggregation processes
  • Delayed responses to market changes
  • Inconsistent data formats and quality
  • Limited capacity for deep analytical insights

"Our clients needed unified access to both passenger and cargo capacity metrics, along with real-time charter flight information," explained a Cobotics-AI representative. "The industry required a solution that could integrate these datasets while providing actionable intelligence."

The OAG Partnership: Enabling Precision Forecasting

Cobotics-AI addressed these challenges through a strategic alliance with OAG, a global leader in aviation data. By integrating OAG's Flight Info API into their systems, Cobotics-AI gained access to:

  • 20+ years of historical flight data
  • Two-year forward-looking schedule projections
  • Real-time status updates across commercial and charter operations
  • Configurable data views by airline and geographic region

The RESTful JSON-based API provides comprehensive flight details including schedules, departure/arrival specifics, service types (cargo vs. passenger), and airport codes. This data foundation enables Touchstone to generate what the company describes as "near-real-time" operational insights.

Tangible Business Impact

The integration has produced measurable results for logistics operators:

  • One client achieved $1.9 million in annual savings
  • Another reduced costs by $100,000 weekly
  • Improved SLA compliance through predictive risk assessment
  • Enhanced ability to identify alternative routes during disruptions
"OAG's data gave us complete visibility across logistics networks. Our adaptive learning applications, powered by this intelligence, allow clients to spot opportunities, mitigate risks, and make informed decisions with confidence," said Mamta R. Kumar, Founder and CEO of Cobotics-AI.

The solution has proven particularly valuable for capacity planning and load factor optimization, helping maintain uninterrupted cargo flows even during market volatility.

The Future of AI in Logistics

This case study illustrates the transformative potential of AI in transportation logistics. As predictive analytics mature, applications may expand to areas like:

  • Automated warehouse management
  • Intelligent routing systems
  • Dynamic pricing engines
  • Self-optimizing supply chains

However, the implementation also surfaces important considerations around data security, algorithmic bias, and workforce adaptation—challenges the industry must address as these technologies become more pervasive.

The Cobotics-AI and OAG collaboration demonstrates how strategic data partnerships can unlock AI's potential to create more resilient, efficient logistics networks in an increasingly complex global marketplace.