Events that suit this venue
Based on events our team has actually worked here.
- Weddings16
We have served 16 wedding events here, up to about 85 tables.
On the site visit, walk the couple’s entrance route and time the walk from the bridal room.
wedding venues in New Taipei - Year-end & spring parties2
We have served 2 year-end party events here, up to about 85 tables.
Check stage size and the route winners take to the stage; book peak dates early.
year-end party venues in New Taipei - Awards & recognition2
We have served 2 awards ceremony events here, up to about 85 tables.
Check stage depth and front lighting; seat winners close to the stage.
awards ceremony venues in New Taipei
Reviews
See all reviews「寬和宴展館」的評論中，場地環境獲得普遍好評，特別是中式氛圍和燈光設計，適合慶祝場合。餐點方面，多數評論認為品質不錯，但有些菜品如炒麵和剁椒臭豆腐的口味則被批評為較重或調味不足。服務人員的態度也受到讚揚，整體用餐體驗良好，但仍有部分菜品未達到驚艷的水準。
Show 5 original reviews
- 愛蜜粒Amily．10 個月前
前陣子節日來吃四季寬和粵菜餐廳，多道餐點不錯，裡面炒麵配料比較少，口味比較重吃了比較膩口
- Chanel聽說是大明地標香奈兒老師．7 個月前
年夜飯訂桌於此 熱鬧非凡 大鼓舞獅財神爺 更添年節氣氛 團圓飯料理中規中矩
- YUZHEN JAN．2 個月前
雖然絲襪奶茶沒有絲襪味 但點心都很好吃 香片味道也很不錯 很推薦家庭聚餐
- Ellie．2 個月前
這裡的港式飲茶在轉角 裝潢很美 環境很乾淨 重點是港式小點都好好吃 很推推捏
- 洪淑娟．11 個月前
這次受邀參加朋友的慶生宴，地點選在汐止知名的「宴和餐廳」。初入店內，便能感受到典雅穩重的中式氛圍，柔和的燈光映照在整齊的桌席與細緻的擺盤上，低調卻不失隆重，是款待親友與慶祝場合的理想選擇。 開場的冷盤與前菜設計精巧，而其中最令人驚艷的莫過於「刺身拼盤」。生魚片切工俐落，厚薄適中，鮭魚、鮪魚、旗魚等品項皆新鮮度極高，油脂在口中化開時帶出微甜鮮香，搭配現磨山葵與醬油，更襯出食材本身的鮮度。擺盤上以花飾與冰塊襯底，視覺層次豐富，展現了主廚的
Summary generated by AI from the sources below. Ratings and reviews are provided by Google Maps. We do not edit review content.
Halls．3 halls
- 茉莉廳
- 凱寓廳
- 海芋全廳
Services provided here
- Mobile photo booth / instant print20 events
- Photo mosaic6 events
- Photo booth3 events
Counted from completed on-site events recorded by this directory; enquiries and unconverted leads are excluded.
Going with 寬和宴展館? Three things next
Once the venue is booked it is the run sheet, the equipment check and the floor plan. We have all three ready.
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Photos：StoryWed幸福故事館婚禮顧問／Google 地圖、Wei Li (Li Wei 李玮)／Google 地圖、Booker.L／Google 地圖、藍天／Google 地圖、CandyBoy Huang／Google 地圖、洪淑娟／Google 地圖
Compiled from public sources and on-site records. Corrections are welcome.
Where does this data come from? Read the methodology