摘要
本新型揭露一種品牌行銷系統，包括：數據收集模組、分析引擎、個性化推薦模塊、以及消費者互動界面。其中，該系統中的數據收集模組負責從多個來源收集消費者的購買和瀏覽行為數據，包括網站訪問記錄、交易數據和社交媒體活動，該數據通過通訊協議傳輸到系統的儲存庫中進行存儲和管理；其中，分析引擎部分使用先進的機器學習和人工智能算法對收集的消費者數據進行深入分析，以識別消費者的喜好、行為模式和購買趨勢；其中，分析結果為系統提供了消費者群體的分段信息，並提供了預測分析結果，用於制定個性化行銷策略；其中，基於分析引擎的結果，個性化推薦模塊利用消費者分段和購買偏好信息生成定制化的產品或服務推薦；其中，消費者互動界面部分通過渠道和社交媒體，提供給消費者與品牌互動的平台。
並列摘要
The present invention provides a brand marketing system, comprising: a data collection module; an analysis engine; a personalized recommendation module; and a consumer interaction interface. In the system, the data collection module is responsible for collecting consumer purchasing and browsing behavior data from multiple sources, including website visit records, transaction data, and social media activities. This data is transmitted to the system's storage repository for storage and management via communication protocols. The analysis engine utilizes advanced machine learning and artificial intelligence algorithms to conduct in-depth analysis of the collected consumer data to identify consumer preferences, behavior patterns, and purchasing trends. The analysis results provide the system with segmented information about consumer groups and offer predictive analysis results for formulating personalized marketing strategies. Based on the results from the analysis engine, the personalized recommendation module generates customized product or service recommendations using consumer segmentation and purchase preference information. The consumer interaction interface provides a platform for consumers to interact with the brand through channels and social media.