A Cloud Native Framework for Real-time Pricing in e-Commerce
نویسندگان
چکیده
Real-time pricing is a form of 'dynamic pricing,' and it enables online sellers to adjust prices in real-time response variations demand competition achieve higher revenue or improve customer satisfaction. As modern e-commerce implementations become more cloud-based, this paper proposes cloud-native framework for system. We take requirement driven approach come up with modular architecture set reusable components pricing. Following DSRM methodology, during the design phase, we identify develop theoretical foundations key parts system, such as models, watchers, other analytics that fulfill functional requirements At stage implementation, describe how each these entire cloud application will be configured using an AWS native implementation. framework, work can support variety demonstrating multiple models have been discussed. Other low-latency, described provide ability react quickly changes competition. also price-cache decouples model calculation from end-user price requests keeps query latency minimum. For where stands most desired NFR, validate system price-request (found single digit milliseconds) market reaction (less than second). Overall, our proposed provides comprehensive solution pricing, which adapted different business needs help optimize their strategies.
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2023
ISSN: ['2158-107X', '2156-5570']
DOI: https://doi.org/10.14569/ijacsa.2023.0140457