Is オリーブの丘 ～ イタリア食堂 ～ Legit & Safe?
With 4.1 stars across 1,310 ratings, オリーブの丘 ～ イタリア食堂 ～ is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with ZENSHO CO.,LTD..
What users complain about in オリーブの丘 ～ イタリア食堂 ～
Users frequently complain about poor customer service, including rushed cleaning, unresponsive staff, and rude behavior. Many report issues with the app, such as bugs in the receipt scanning feature and limited functionality for queue management. Food quality inconsistencies, missing menu items, and hygiene problems like dirty tables and utensils are also common complaints.
Summarized from 127 recent 1-3 star reviews.
オリーブの丘 ～ イタリア食堂 ～: frequently asked questions
Is オリーブの丘 ～ イタリア食堂 ～ legit?
オリーブの丘 ～ イタリア食堂 ～ is a legitimate app listed on the App Store with a 4.1 star rating from 1,310 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is オリーブの丘 ～ イタリア食堂 ～ safe to download?
オリーブの丘 ～ イタリア食堂 ～ is distributed through the official App Store, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is オリーブの丘 ～ イタリア食堂 ～ a scam?
オリーブの丘 ～ イタリア食堂 ～ is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does オリーブの丘 ～ イタリア食堂 ～ have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download オリーブの丘 ～ イタリア食堂 ～?
For most users, オリーブの丘 ～ イタリア食堂 ～ is a safe choice given its 4.1 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.