Розробка рекомендаційних функцій системи електронної комерції автомобільними запчастинами

Abstract

This report examines the design and development stages of an e-commerce system for automotive spare parts, implementing recommendation functions based on an ontology related to various repair types. The system helps customers quickly find the right auto parts for their needs and provides administrators with optimized spare part procurement options based on demand analysis. This enables precise assortment planning, reducing the risk of overstocking or understocking, while simultaneously improving the user experience, sales, and optimizing marketing strategies in line with modern e-commerce trends.