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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

Altexsoft

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), Read our dedicated article to learn more about demand forecasting methods. geolocation, profiles, and feedback.

Travel 52
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Machine Learning Metrics: How to Measure the Performance of a Machine Learning Model

Altexsoft

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? So, how would you measure the success of a machine learning model?

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B2B Travel Platform For Corporate Travel Management

Altexsoft

With airlines such as United and American shifting content away from legacy Global Distribution System (GDS) channels towards their own platforms and NDC-enabled channels, businesses relying on traditional GDS systems face a challenge. Corporate travel management comes with its unique set of needs and challenges. Legacy GDS limitations.

Travel 52
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OTA Rates and Building ?ommission Engine: Best Practices and Lessons Learnt

Altexsoft

They help hotels, airlines, car rental services, and other suppliers sell inventory to end customers — and charge fees for this mediation. It unfolds as follows: A supplier (for example, an airline or hotel) sets the final prices (gross rates) and passes them to an OTA. A particular hotel chain or airline may also matter.

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Schedule Optimization: Technological Approaches and Use Cases

Altexsoft

So, numerous techniques, including mathematical optimization, constraint programming, and machine learning (ML), are used to address this issue. Metrics or KPIs are the measurements that show the effectiveness of your schedule and can be compared to support decision-making. Machine learning in scheduling.

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Dynamic Pricing Explained: Use in Revenue Management and Pricing Optimization

Altexsoft

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

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Business Analytics tools & use cases

Apiumhub

Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. Data Mining: data mining for business analytics sorts through large datasets using databases, statistics, and machine learning to identify trends and establish relationships.