GermanyTravel and aviation2023 – ongoingFlix
Machine-learning demand forecasts and AI seat pricing
Flix reported repricing more than 44 million seats daily with its AI system
Problem
Flix needed to match transport capacity to changing demand. Empty vehicles increased operating costs for its bus partners.
Approach
Flix used machine-learning forecasts to adjust capacity to expected demand. Its technology team also operated an AI system that managed seat inventory and repeatedly recalculated prices.
Results
Takeaway
The reported figures describe forecasting and pricing activity. They do not quantify the resulting reduction in empty vehicles.
Categories
- Industry
- Travel and aviation
- Business function
- Production and qualityMarketing and sales
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Flix described machine learning for matching capacity to demand. It reported daily AI inventory management covering over 495 million seats and average daily repricing exceeding 44 million seats.
Full details are in the original sources.
