A
system for monitoring and optimizing the performance of an e-commerce platform, which includes the following: a) a data collection and integration module configured to retrieve real-
time data from e-commerce platforms, marketing channels, inventory systems and user interactions using APIs, tracking scripts and
server-to-
server communication; b) a data preprocessing and filtering module for cleaning and structuring the collected data by removing inconsistencies, normalizing formats and detecting outliers; c) a
machine learning and
predictive analytics machine that uses
deep learning, regression models and clustering algorithms to analyze historical and real-
time data to predict sales trends, customer behavior and demand fluctuations; d) a
performance monitoring dashboard configured to visualize key performance indicators, sales trends and marketing effectiveness, and to provide custom reports and real-time alerts; e) an automated module for optimizing marketing campaigns, which dynamically adjusts advertising strategies, budget allocations, target audience approach and creative elements based on real-
time data insights; f) an automated decision and
control system configured to execute AI-driven optimization strategies, including bid adjustments, price changes and inventory reallocations without manual intervention; (g) a fraud detection and
compliance monitoring module that uses
anomaly detection algorithms to identify fraudulent transactions, fake reviews and advertising fraud while ensuring compliance with legal regulations; the
system continuously monitoring, analyzing and optimizing the performance of the e-commerce platform through
automated data-driven decision-making.