AI 商品推薦
零售顧客瀏覽或購買商品時，AI 代理即時分析行為模式、歷史偏好和庫存狀態，產出個人化商品推薦清單。
agenthumandb
為什麼需要 OSOP
個人化推薦直接影響轉換率和客單價。OSOP 定義從資料收集、特徵工程到推薦產出的完整流水線，記錄每次推薦的依據，方便 A/B 測試和模型調校。
Workflow Steps (5)
1
Collect Customer Data
db2
Analyze Preferences
agent3
Generate Recommendations
system4
Merchandiser Review
human5
Push to Storefront
apiConnections (5)
Collect Customer Data→Analyze Preferencessequential
Analyze Preferences→Generate Recommendationssequential
Generate Recommendations→Merchandiser Reviewsequential
Merchandiser Review→Push to Storefrontconditionalreview.approved == true
Merchandiser Review→Analyze PreferencesfallbackAdjust recommendation criteria
5
Steps
5
Connections
5
Node Types