Sold by: GapMaps
Deployed on AWS
GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 4 leading fashion retail brands in Indonesia. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.
Overview
Overview:
GapMaps Point of Interest Data for Indonesia - Fashion Retail
Short Description:
GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for 4 leading fashion retail brands in Indonesia. 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 Indonesia includes the most up-to-date view of business location data for over 4 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 | McDonald's UUID | Unique Identifier | String | f9523b39-21e5-11ed-92ec-0627e559a1f8 Title | Title of the location | String | McDonald's Kakialy Ambon Address | Address number and road or street name, suburb and postcode | String | Jl. Kakialy, Uritetu, Kec. Sirimau, Kota Ambon, Maluku, Indonesia Suburb | Suburb of the location | String | Ambon Postcode | Postal code or zipcode of the location | String | 97124 Latitude | Latitude coordinate of the place of interest | Long | -3.694242 Longitude | Latitude coordinate of the place of interest | Long | 128.185587 Status | Identifies if a location is open or closed | String | Open/Close Country | Name of Country | String | Indonesia State | Name of State | String | Maluku 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 Indonesia.
- 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.
Need help?
If you have questions about our products, email us at aws_support@gapmaps.com
About GapMaps
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 >.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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
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.
Dimension | Description | Cost/3 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $2,500.00 |
Dimensions summary
This listing uses a single contract-based pricing dimension called Product Access (Units). You buy access to the Indonesia fashion retail Point of Interest dataset under one commitment term. Pricing does not split into tiers or instance sizes. Instead, you subscribe to the product as a whole through this one dimension. The dataset delivers business location records for fashion retail across Indonesia, including coordinates, categories, and brand attributes. Since there is only one option, your cost depends on the contract term you select rather than on usage volume or feature tiers.
Top-of-mind questions for buyers
One unit grants access to the Indonesia fashion retail Point of Interest dataset. Each record includes latitude and longitude coordinates, business attributes, category classification, and brand information. Access covers the dataset as a whole, not a set number of individual records or downloads.
No. This listing uses one contract-based dimension. You pay for product access under your chosen term, not per record retrieved or per query run. Your cost depends on the contract you select, so usage volume does not change what you owe.
The dataset is built through multi-source aggregation, AI-driven deduplication, and continuous validation. GapMaps applies ongoing updates to reflect real-world changes. Access under your contract term covers the maintained dataset rather than a one-time static file.
www.gapmaps.com
Helpful?
Vendor refund policy
Refunds are not offered on this product. For questions or concerns, contact aws_support@gapmaps.com .
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.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
POI - Indonesia - Generators | Last 1 revisions | All future revisions | Not included | Not included | ||
POI - Indonesia - Fashion Retail | Last 1 revisions | All future revisions | Not included | Not included |
Similar products
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.