Best open shops & malls Bali - Seminyak (ID) near you

Popular open shops and malls in Bali - Seminyak Indonesia : Avoid busy hours by visiting shopping malls during the quiet days as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated shops.

Smells Like Wine & Spirits (Shopping)
Jl. Mertanadi No.53 Seminyak Kuta Utara Badung Regency, Bali 80351, Indonesia
4.9

It's most quiet on Sundays.

Google Maps

Volcom Seminyak (Apparel)
Jalan Kayu Aya No. 104, Kuta Utara Seminyak Kuta Badung Regency, Bali 80361, Indonesia
4.4

It's most quiet on Sundays.

Retailer of surf-, skate- & snowboard-inspired apparel, accessories & footwear.

For more info visit the website or checkout Google Maps.

Havaianas Flagship Kayu Aya (Shopping)
Jl. Kayu Aya No.69 Seminyak Kuta Utara Badung Regency, Bali 80361, Indonesia
4.4

Havaianas Flagship Kayu Aya is most popular around 6 PM on Tuesdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Bottle Avenue Bidadari (Shopping)
Seminyak Kuta Badung Regency, Bali 80361 Indonesia
4.6

Bottle Avenue Bidadari is most popular around 12 PM on Thursdays. It's most quiet on Fridays.

Beer, Wine, Soju, Whisky, Vodka, etc #SemuaAdaDiBottleAvenue

Google Maps

Hurley Seminyak (Apparel)
Jl. Kayu Aya No.88 Seminyak Kec. Kuta Utara Kabupaten Badung, Bali 80361, Indonesia
4.3

Hurley Seminyak is most popular around 5 PM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Housewives on fire (Shopping)
Jl. Mertanadi No.22
4.1

Housewives on fire is most popular around 2 PM on Fridays. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Bali - Seminyak, Indonesia. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.