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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. Such a pricing strategy can lead to bad reviews, complaints, or worse.

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Occupancy Rate Prediction: Building an ML Module to Analyze One of the Main Hospitality KPIs

Altexsoft

The occupancy rate is a key indicator of the historical, current, and looking-forward performance of a hotel or vacation rental business. The occupancy rate in hospitality is the share of occupied hotel rooms or vacation rental units at a given time. Overall, average hotel occupancy rates range between 65 and 80 percent.

Hotels 52
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ChatGPT Implementation in Travel: Unleashing the Potential of GPT Models in Real-World Projects

Altexsoft

Large language models and transformers in a nutshell Language models , types of machine learning models, are trained to anticipate the likelihood of a word sequence. They predict the next appropriate word based on text context, essentially learning how humans use language. Attention and self-attention mechanisms.

ChatGPT 52
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Omnichannel Strategy: How to Create an Integrated Customer Experience

Altexsoft

Data integration – omnichannel relies on a seamlessly integrated backend system to share data across all sales and marketing platforms. This is possible due to complete system integration (CRM, inventory management software , retail tools, etc.) ERP, eCommerce platform, order management systems , CRM, etc.),

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101 Mobile App Ideas for startups in 2021

Openxcell

In 2020, the mobile app development industry has transformed to take on newer challenges like augmented reality, virtual reality, machine learning, and artificial intelligence. Sports Learning App 26. Movie Review App 46. Food Review App 71. Movie Review App. Productivity App 18. Auto Answer App 21.

Mobile 93
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Artificial Intelligence and Data Science Advances in 2018 and Trends for 2019

Altexsoft

Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. So, it’s not the state-of-the-art that motivates businesses to use data science more but the standardized approach to machine learning model building. ”.

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After a record year for Israeli startups, 16 investors tell us what’s next

TechCrunch

A great amount of talent is cultivated in the military, which has spawned innovative cyber, AI and machine-learning companies. Any area that is exposed to mass physical engagement (pockets in travel, food, sports, etc.) Travel and proptech are more exposed due to COVID-19. are at risk. Not particularly.