AI-Driven Content Recommendations: Enhancing Customer Journeys in AEM

The best caching mechanisms are keys to the success of e-commerce sites that have large traffic, and the Adobe Experience Manager (AEM) Dispatcher is a critical component on which the optimization of content delivery is based. This research paper provides an extensive discussion of AEM Dispatcher caching optimization techniques that are especially optimized to meet the high-order demands of the mega-e-commerce applications. According to systematic analysis of caching architecture, invalidation techniques and techniques of performance optimization, the techniques of dynamic content management are established and decided to be effective in guaranteeing efficiency of the caches. It is a multi-method design, which entails the synthesis of literature analysis, analysis of performance benchmarking, and architectural evaluation and is applied to the research to achieve the cache hit ratios, optimization of the response time, and scalability during peak load conditions. The investigation outcomes bear the evidence that sophisticated cache invalidation, smart TTL parameters, and hybrid caching structures have enormous positive effects on the performance metrics of e-commerce websites that have a high number of simultaneous users. Optimized Dispatcher settings have been demonstrated to reduce response time of servers by 40-60 percent when there is a traffic spike and still have the ability to maintain content fresh when there are dynamic parts, like pricing and inventory. Also, the idea of syncretism of machine learning techniques in predictive cache optimization has positive results to adaptive caching under dynamic e-commerce practices. The paper provides a formalized design to implement tiered caching systems, greater purging capabilities and security optimized cache policies to provide the best performance and business balance. The conclusions give practical recommendations to the e-commerce designers and AEM administrators who are eager to enhance the performance of their sites, their conversion rates and display consistency in the high season such as flash sales and the peak season.