PAI - Personalization AI System
Our Personalized AI (PAI) system offers a solution grounded in optimization and privacy. Drawing on deep revenue-management expertise, it balances personalization depth with responsible data design through a framework built on multidimensional microsegments.​
Microsegments : Contextual Personalization without intrusion
"A Microsegment integrates both customer features and airline economics, making segmented personalization easier to optimize"
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A key principle of the PAI system is that personalization does not require knowing every traveler individually. Instead, it organizes passengers into microsegments—groups of travelers with similar behavioral and contextual attributes—while anonymizing identities. Each microsegment integrates both customer features (purpose of travel, purchase behavior, seasonality) and airline economics (route yield, cost structures, competition).
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​At the computational level, each microsegment is powered by tensor-based AI models, enabling rapid processing of large datasets while preserving privacy. The system continuously learns from new data, adjusting forecasts and recommendations without referencing personal identifiers. This design delivers contextual accuracy—“personalization with privacy.”​
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TensorQ Dynamic Pricing
Tensor Q Dynamic Pricing is a futuristic solution for solving the issue of dynamic pricing. Today this problem exists due to legacy architectures and mathematics. We put the combination of modern AI, Math and Bayesian Statistics to deliver an economically optimal pricing recommendation
It is based on Microsegments. The structure which combines demand and supply in small customer, and company contexts. It is further aided by the fact that each mcirosegment has the property of simultaneously being self sufficient and fully connected to the global signals flowing within many other microsegments. This one principle dramatically reduces the complex and unsolvable problem faced by Operations Researched based pricing engines.