Economy
The Role of AI in Personalized Pricing Strategies
Matichon Online reports on how artificial intelligence is increasingly used to tailor product pricing to individual consumer profiles.
A recent report from Matichon Online highlights a shift in retail pricing strategies, driven by the integration of artificial intelligence. In the past, consumers relied on traditional methods to secure the best deals, but modern algorithms now analyze individual shopping behaviors to set prices that are highly personalized.
This technological evolution means that two different customers may see varying prices for the same product based on data points such as browsing history, purchase frequency, and perceived willingness to pay. For residents and travelers in Thailand, this suggests that online shopping experiences are becoming increasingly unique. While this can lead to tailored discounts, it also introduces a level of price opacity that makes it difficult for consumers to determine if they are receiving the market-standard rate.
It remains to be confirmed how widespread these dynamic pricing models are across different sectors of the Thai retail market and what regulatory frameworks, if any, will be implemented to ensure transparency for consumers. As AI continues to refine its ability to predict consumer behavior, shoppers are encouraged to remain vigilant and compare prices across multiple platforms before finalizing purchases. The report underscores that the 'best price' is no longer a fixed figure but a variable determined by complex digital profiling.