diff --git a/config.py b/config.py
index 1ca8aa8..c4f703d 100644
--- a/config.py
+++ b/config.py
@@ -320,7 +320,7 @@ YOUTUBE_API_KEY = os.getenv('YOUTUBE_API_KEY', '')
 # ==========================================
 # 系統版本與路徑
 # ==========================================
-SYSTEM_VERSION = "V10.277"
+SYSTEM_VERSION = "V10.278"
 LOG_FILE_PATH = os.path.join(BASE_DIR, 'logs/system.log')
 public_url = PUBLIC_URL  # 用於模板顯示
 
diff --git a/docs/AI_INTELLIGENCE_MODULE_SOT.md b/docs/AI_INTELLIGENCE_MODULE_SOT.md
index bf7037a..d119af4 100644
--- a/docs/AI_INTELLIGENCE_MODULE_SOT.md
+++ b/docs/AI_INTELLIGENCE_MODULE_SOT.md
@@ -2,7 +2,7 @@
 
 > **最後更新**: 2026-05-19 (台北時間)
 > **狀態**: 🟢 四 AI Agent 自動化閉環已落地；LLM 路由紅線升級為 Ollama-first 三主機級聯，Gemini 僅備援 / 鎖定場景
-> **適用版本**: V10.277
+> **適用版本**: V10.278
 
 ---
 
@@ -52,7 +52,7 @@ SQL漏斗(~300筆)
 - 配對來源仍以 PChome crawler 真實搜尋結果為準；無競品資料時不生成挑品。
 - 比對覆蓋率補強入口：`POST /api/ai/pchome-match/backfill`，優先補抓仍無有效 PChome 配對的高價 ACTIVE 商品，完成後自動重算 AI 挑品清單。
 - 排程閉環：`run_pchome_match_backfill_task` 每日 10:30 執行，補抓 PChome 待比對商品、寫入歷史價格，再重算 `strategy='product_pick'` 清單。
-- PChome / MOMO 競價摘要出口 `services/competitor_intel_repository.py` 使用 5 分鐘共享快取（`COMPETITOR_INTEL_CACHE_TTL_SECONDS` 可調），避免 `/growth_analysis`、`/daily_sales`、PPT/AI 報表每次請求重跑昂貴覆蓋率與價差趨勢查詢；快取只包摘要輸出，不改 matcher 的高信心門檻與 identity_v2 準確性規則。
+- PChome / MOMO 競價摘要出口 `services/competitor_intel_repository.py` 使用 30 分鐘共享快取（`COMPETITOR_INTEL_CACHE_TTL_SECONDS` 可調），避免 `/growth_analysis`、`/daily_sales`、PPT/AI 報表每次請求重跑昂貴覆蓋率與價差趨勢查詢；`run_competitor_price_feeder_task` 與 PChome backfill 完成後會主動清除快取。快取只包摘要輸出，不改 matcher 的高信心門檻與 identity_v2 準確性規則。
 - 商品看板第一屏：`/` 的 V2 看板直接以 `products`、`price_records`、`competitor_prices`、`ai_price_recommendations` 顯示比對覆蓋率、PChome 優勢、MOMO 威脅、AI 挑品與待比對優先清單；`filter=ai_picks` 可查看 50 品 AI 挑品列表，並在列表上方顯示平均信心、平均價差、最大價差與估算總價差空間，列表列內顯示 AI 排名與建議理由，且可透過 `/api/export/excel/ai-picks` 匯出 50 品 Excel 操作清單。商品看板深度快取同時寫入 `data/dashboard_full_cache.pkl`，供多個 Gunicorn worker 共用，避免部署後各 worker 重複重建 7,000+ 商品統計造成開頁變慢；所有資料異動與 AI 挑品重算都透過 `clear_dashboard_cache()` 同步清除記憶體與共享快取，手動重算 API 會立即預熱商品看板快取，避免第一位使用者承擔重建成本。
 
 | 角色 | 模型 | 主機 | 成本 | 每日限額 |
diff --git a/routes/ai_routes.py b/routes/ai_routes.py
index 7bbc55e..2060943 100644
--- a/routes/ai_routes.py
+++ b/routes/ai_routes.py
@@ -1719,6 +1719,7 @@ def api_pchome_match_backfill():
             from config import DATABASE_PATH
             from sqlalchemy import create_engine
             from services.ai_product_pick_agent import generate_product_pick_list
+            from services.competitor_intel_repository import clear_competitor_intel_cache
             from services.competitor_price_feeder import CompetitorPriceFeeder
 
             engine = create_engine(DATABASE_PATH)
@@ -1726,6 +1727,7 @@ def api_pchome_match_backfill():
             pick_result = generate_product_pick_list(engine, limit=50)
             from services.cache_manager import clear_dashboard_cache
             clear_dashboard_cache()
+            clear_competitor_intel_cache()
             logger.info(
                 "[PChomeBackfill] done total=%s matched=%s no=%s low=%s errors=%s history=%s duration=%ss pick_written=%s",
                 result.total_skus,
diff --git a/scheduler.py b/scheduler.py
index 7fc5235..7ef2983 100644
--- a/scheduler.py
+++ b/scheduler.py
@@ -2131,6 +2131,7 @@ def run_competitor_price_feeder_task():
     try:
         from config import DATABASE_PATH
         from sqlalchemy import create_engine
+        from services.competitor_intel_repository import clear_competitor_intel_cache
         from services.competitor_price_feeder import CompetitorPriceFeeder
 
         now_str = datetime.now(TAIPEI_TZ).strftime('%Y-%m-%d %H:%M')
@@ -2159,6 +2160,7 @@ def run_competitor_price_feeder_task():
             f"errors={result.errors} "
             f"耗時={result.duration_sec}s"
         )
+        clear_competitor_intel_cache()
         _save_stats('competitor_price_feeder', stats)
 
     except Exception as e:
@@ -2191,6 +2193,7 @@ def run_pchome_match_backfill_task():
         from sqlalchemy import create_engine
         from services.ai_product_pick_agent import generate_product_pick_list
         from services.cache_manager import clear_dashboard_cache
+        from services.competitor_intel_repository import clear_competitor_intel_cache
         from services.competitor_price_feeder import CompetitorPriceFeeder
 
         now_str = datetime.now(TAIPEI_TZ).strftime('%Y-%m-%d %H:%M')
@@ -2200,6 +2203,7 @@ def run_pchome_match_backfill_task():
         feeder_result = CompetitorPriceFeeder(engine=engine).run_unmatched_priority(limit=120)
         pick_result = generate_product_pick_list(engine, limit=50)
         clear_dashboard_cache()
+        clear_competitor_intel_cache()
 
         stats = {
             "total_skus":        feeder_result.total_skus,
diff --git a/services/competitor_intel_repository.py b/services/competitor_intel_repository.py
index d59e363..da4a966 100644
--- a/services/competitor_intel_repository.py
+++ b/services/competitor_intel_repository.py
@@ -22,7 +22,7 @@ from sqlalchemy import inspect, text
 
 
 PCHOME_MATCH_SCORE_FLOOR = 0.76
-COMPETITOR_INTEL_CACHE_TTL_SECONDS = int(os.getenv("COMPETITOR_INTEL_CACHE_TTL_SECONDS", "300"))
+COMPETITOR_INTEL_CACHE_TTL_SECONDS = int(os.getenv("COMPETITOR_INTEL_CACHE_TTL_SECONDS", "1800"))
 _BASE_DIR = Path(__file__).resolve().parents[1]
 _CACHE_FILE = _BASE_DIR / "data" / "competitor_intel_cache.pkl"
 _CACHE_LOCK = Lock()