Best shopping malls Palembang (ID)

Popular shopping days & hours in Palembang Indonesia : Avoid the 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.

Map
Palembang Square (Shopping center)
Jl. Angkatan 45
4.5

Palembang Square is most popular around 5 PM on Sundays. It's most quiet on Wednesdays.

Google Maps

Gaya Baru Departemen Store (Shopping center)
JL Rustam Effendy 38, 14 Ilir, Ilir Timur I, Palembang, 30124
4.4

Gaya Baru Departemen Store is most popular around 1 PM on Wednesdays. It's most quiet on Thursdays.

Google Maps

IP International Plaza Palembang (Shopping center)
Internasional Plaza
4.5

IP International Plaza Palembang is most popular around 3 PM on Sundays. It's most quiet on Wednesdays.

Google Maps

Palembang Indah Mall (Shopping center)
Jl. Letkol Iskandar No.18
4.6

Palembang Indah Mall is most popular around 5 PM on Sundays. It's most quiet on Tuesdays.

Palembang Indah Mall is one of the biggest mall in Palembang with International & National Brand. Strategically located in the heart of Palembang City. Palembang Indah Mall provides Fashion, Food, Automotive, and Supermarket tenants.

Google Maps

PASAR KEBON SEMAI (Market)
Jl. Bay Salim No.5770 Sekip Jaya Kemuning Palembang City, South Sumatra 30114, Indonesia
4.5

PASAR KEBON SEMAI is most popular around 9 AM on Sundays. Visitors usually stay 15 min here. It's most quiet on Wednesdays.

Google Maps

PASAR SEKANAK (Market)
2Q44+FPJ 28 Ilir Ilir Barat II Palembang City, South Sumatra 30113, Indonesia
4.3

PASAR SEKANAK is most popular around 12 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Sundays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Palembang, 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.