Dynamic pricing : Adjust prices based on customer preferences or location

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Personalised offers in your basket : Suggestions for complementary products during checkout.
Chat interactions : Tailored support based on user activity on the site.
Real-time personalization requires advanced technological infrastructure that allows processing large amounts of data in a short time. However, its effectiveness is undeniable - users who experience dynamic content adjustment are more likely to buy and recommend the store to others.

Technologies supporting personalization in e-commerce
The development of technology has played a key role in transforming botim phone number data personalization in e-commerce from simple product recommendations to complex, dynamic systems that adapt content and offers to each user. Modern technologies such as artificial intelligence, machine learning and advanced analytical tools allow online stores to offer shopping experiences that are more intuitive and effective.

Artificial Intelligence and Machine Learning – Role in Data Analysis and Personalization
Artificial intelligence (AI) and machine learning (ML) are the foundations of advanced personalization in e-commerce. AI allows online stores to analyze huge amounts of data in real time, identify patterns in user behavior and predict their future needs. Machine learning enables continuous improvement of personalization algorithms based on collected data.