GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 5 leading Fashion Retail brands in Malaysia. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.
GapMaps Point of Interest Data for Malaysia - Fashion Retail
Short Description:
GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 5 leading Fashion Retail brands in Malaysia. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.
Long Description:
GapMaps Point of Interest Data for Malaysia includes the most up-to-date view of business location data for 5 leading Fashion Retail brands. Some of the detailed attributes provided for each brand location includes:
Category
Business Name
Postal code
Latitude and longitude
Street address, city, and state
Location Status (open or closed)
Example Fields
Column Name | Description | Type | Example
----|-----|-----
Category | Sector | String | Fast Food & QSR
Business Name | Name of Business | String | KFC
UUID | Unique Identifier | String | da694238-ca73-11eb-a6bc-06d84e30dd50
Title | Title of the location | String | KFC SETIA ALAM CITY MALL
Address | Address number and road or street name, suburb and postcode | String | Lot LG 20, LG Floor, Setia City Mall, Setia Alam 40170 Shah Alam Selangor
Suburb | Suburb of the location | String | Shah Alam
Postcode | Postal code or zipcode of the location | String | 40170
Latitude | Latitude coordinate of the place of interest | Long | 3.10907
Longitude | Latitude coordinate of the place of interest | Long | 101.46084
Status | Identifies if a location is open or closed | String | Open
Country | Name of Country | String | Malaysia
State | Name of State | String | Selangor
Location Updated Date | Date when the location details were updated | Date | 01-Mar-2024
Location Validated Date | Date when the location was last validated | Date | 01-Mar-2024
Additional Information
GapMaps regularly updates the dataset with the latest store openings and closings.
Dataset covers all of Malaysia.
Dataset is supplied as CSV files.
Before a data subscription can be purchased GapMaps require you to complete a subscription request form to verify your identity and the intended use cases for the data. Please provide these details once you hit the subscribe button. GapMaps have 45 days to approve or decline this request.
GapMaps is a leading global provider of high-quality, up-to-date, and granular location intelligence datasets and insights to developers, technology companies, and businesses across a range of industry sectors. Brands such as Burger King, KFC, Anytime Fitness, and Starbucks rely on our data and insights to inform their market planning strategies with increased confidence and reduced risk. We provide globally consistent datasets including the latest resident and worker populations, census demographics data, consuming class data, and point of interest data down to a granular level to inform location decisions. For more information visit <www.gapmaps.com>.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract-based dimension called Product Access (Units). You buy access to the point-of-interest dataset covering fashion retail locations in Malaysia. Pricing follows a fixed contract rather than usage or instance sizing. There are no separate tiers or add-ons to compare. Your access is granted through the number of units you purchase. The dataset includes verified business location records with coordinates, categories, and brand attributes, delivered for use in location intelligence and mapping workflows.
Top-of-mind questions for buyers
What does one unit of Product Access represent for this dataset?
A unit grants your organization access to the point-of-interest dataset covering fashion retail locations in Malaysia. It is a licensed data access grant, not a per-record or per-query charge. You gain access to the records rather than paying per lookup or download.
What information does each fashion retail location record include?
Each record includes precise latitude and longitude coordinates, business attributes, category classification, and brand information. Records are built from multiple data sources, deduplicated using AI matching, and validated continuously to reflect real-world changes.
Does the dataset update during my access period, or is it a fixed snapshot?
The underlying dataset is continuously updated through ongoing data ingestion and validation. This means your access reflects current business location changes rather than a one-time static export. Check the vendor for exact refresh frequency tied to your contract.
www.gapmaps.com
Helpful?
Vendor refund policy
Refunds are not offered on this product. For questions or concerns, contact aws_support@gapmaps.com.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Personalized Recommendations delivers hyper-personalized product suggestions by combining deep learning, customer behavior, and rich product data. Designed for fashion and lifestyle retailers, it boosts engagement and conversions through real-time, context-aware recommendations powered by visual AI.
Automated Product Tagging solution leverages advanced AI to automatically generate accurate and detailed tags for fashion products, enabling faster cataloging, better search, and improved customer experiences.
End-to-end GenAI implementation service: virtual try-on, AI personal stylist, and retail intelligence powered by Amazon Bedrock, SageMaker, and OpenSearch.
Includes global market data on garments, fabrics, yarns, and apparel items. Covers production, trade, and pricing data from 2012 to 2035. Data is available for all countries and major regions worldwide. Approx. 130 products are included based on HS code classification.
This dataset enables data-driven decisions by providing actionable insights into global trade, pricing, production, and market trends. It supports strategic planning, market assessment, and forecasting across industries and regions.