'The Trainline' Predicts When Train Ticket Prices Will Increase
References: itunes.apple & engadget
When properly analyzed, big data can reveal a wealth of valuable information, and 'The Trainline' app has a new feature that helps people to make sense of the noise for part of their everyday lives. The app analyzes patterns in travel to predict when the prices of train tickets will rise and fall, helping commuters and travelers to save money on the rails.
The Trainline's new Price Prediction tool uses data collected from the app to give users a broad idea of when prices will rise. Data scientists working for The Trainline have been able to train algorithms to make those predictions by combing through billions of customer journeys carried out through the app. With 10 million users across the UK, The Trainline certainly has enough raw data to dig from.
The Trainline's new Price Prediction tool uses data collected from the app to give users a broad idea of when prices will rise. Data scientists working for The Trainline have been able to train algorithms to make those predictions by combing through billions of customer journeys carried out through the app. With 10 million users across the UK, The Trainline certainly has enough raw data to dig from.
Trend Themes
1. Big Data Insights - Analyzing travel patterns and collecting data can lead to predictive models that can be applied in a variety of industries.
2. Price Prediction Tools - Predictive analytics can help to forecast price changes in various products and services, allowing companies to offer competitive pricing strategies.
3. Personalized Marketing - Customized recommendations based on users' behaviors and preferences can improve marketing campaigns across various industries.
Industry Implications
1. Transportation - Predictive pricing tools can help commuters and travelers to save on transportations costs across different countries.
2. E-commerce - Price prediction tools can help online retailers offer competitive pricing strategies and personalized discounts to their customers.
3. Tourism - Personalized recommendations and predictive pricing models can help travel agencies offer tailored travel packages and promotional discounts.
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