Develop stronger strategic and tactical decisions by combining geographic mapping and location-related data with key business information residing in Business Intelligence (BI) and enterprise applications.
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Coverage
More than 60 areas nationwide
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More than 180,000 Locations
Various groups and categories of POI
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10 Groups
Attraction, Auto Service, Food & Beverage, Health Care, Office, Place of Worship, Residence, Retail, Transportation, School.
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53 Categories
Kindergarten, Public and Private Elementary Schools, Public and Private Junior High Schools, Public and Private High Schools, Public and Private University/Academy, Government Office, Private Office, Wet Market, Minimarket, Supermarket, Mall, etc.
Define the best area through parameters which suitable for the target market (geo-demography, point of interest, sales & distribution performance, etc.).
Analyze competitor distribution and outlet strategy for expansion or optimization strategy
Outlet optimization aims to define expansion areas and optimize existing outlets to grasp the potential market
Potential areas are developed by parameters that are align with Logistic's target market, i.e., number of shopping, number of residential, and number of offices.
As illustration, Kelurahan Cinere has high potential area without Logistic outlet.
The others are Kelurahan Rangkapan Jaya Baru, Krukut, Kalimulya, Depok Jaya, and Bojongsari
The following analysis will include the competitor list in the figure.
As illustration, Kelurahan Beji has high potential area with low number of competitor.
Logistic Company | Total |
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JNE Express | 1 |
TIKI Express | 3 |
Wahana Express | 4 |
Pos Indonesia | 4 |
Lion Parcel | 3 |
Sicepat Express | 1 |
Shopee Express | 1 |
Ninja Express | 1 |
J&T | 2 |
The recommendation areas are the area that has medium to high potential area and medium to high competition level.
In total, there are 16 recommendation areas.
Easily grasp comprehensive information for data-driven business decisions by visualizing the analysis in BI format.
Strengthen the analysis by combining all variables from multi-resources to gain insight into the vast amounts of data
Optimize the outlet visit opportunity through extrinsic and intrinsic aspects.
Extrinsic Aspects
It aims to figure out the surrounding condition, competitor's location, target audience activity, the risk that may occur around the location (ex. flood-prone area), etc