Giken Shoji International Co., Ltd. (Nagoya HQ: Nagoya City, Aichi Prefecture; Tokyo HQ: Shinjuku-ku, Tokyo; President: Tomomi Kojima, hereinafter "our company"), a pioneer in area marketing and trade area analysis tools, has released a case study on the implementation of a trade area analysis GIS (Geographic Information System) by AEON NEXT Co., Ltd. (HQ: Chiba City, Chiba Prefecture, hereinafter "AEON NEXT"), which operates the online-only supermarket "Green Beans" utilizing the latest digital technology.

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Background of Implementation: Establishing Area Strategy Based on Logical Decision-Making, Eliminating Reliance on Individual Expertise

AEON NEXT deploys a logistics model called "Hub and Spoke," where deliveries are made using logistics centers, Customer Fulfillment Centers (CFCs), as hubs and with intermediate points (spokes).

During the business launch phase, it was essential to establish "objective numerical standards" that did not rely on individual experience or intuition to support rapid site development. Therefore, the company adopted our GIS "MarketAnalyzer® 5" and the area segmentation data "c-japan® Home," which classifies areas nationwide by lifestyle and values. This established an area analysis foundation that supports decisions understandable to anyone as they expanded to 94 municipalities.

(Key Points of Utilization)

To balance customer understanding beyond simple demographics with the optimization of last-mile delivery networks, the following advanced analyses are being implemented:

1. Quantifying "Growth Potential" from Gaps in Resident Characteristics

Utilizing the data "c-japan® Home," which classifies residents' lifestyles and values, we compare the performance of areas with similar lifestyle attributes. From these gaps, the demand that should logically be acquired (potential) is calculated as "market growth potential." By visualizing untapped potential that cannot be measured by population alone, we precisely identify areas where resources should be prioritized, enabling strategic investment decisions.

2. Identifying Last-Mile Bottlenecks through "Postal Code Level" Demand Mapping

Physical constraints that divide delivery routes, such as rivers and major arterial roads, which cannot be captured at the municipality level, are understood at the granularity of postal codes. While identifying "areas with high demand," we simulate the optimal role allocation for delivery hubs (spokes) and capacity allocation for demand by time of day, in line with actual conditions.

(Comments from AEON NEXT Co., Ltd. Representative)

From prediction to verification. Optimization cycle through accumulated "performance data."

"As we expanded from the initial 8 municipalities to 94, we strongly felt the benefits of narrowing down areas based on data. Currently, we are running a cycle of verification and re-optimization, incorporating performance data in addition to the initial potential predictions. Discovering data by interacting with the diverse data items in "MarketAnalyzer® 5" makes our strategies more multifaceted."

Koki Wada, Planning Analyst, Planning Group, Customer Creation Department

Our company will continue to support the promotion of area marketing DX in a wide range of industries, including retail and services, through advanced analytical solutions and supportive, hands-on assistance.

About the Implemented Tools

"MarketAnalyzer® 5" Supports Reproducible Store Development Strategies Beyond Experience and Intuition

This is a dedicated GIS for trade area analysis and area marketing with over 2,000 companies adopting it. It comes standard with advanced statistical analysis functions and abundant area data (population, households, consumer spending, geodemographic data, etc.) to support the optimization of store development and sales promotion strategies.

[Until the end of September 2026] Free Provision Campaign Underway

Area Segmentation Data "c-japan® Home"

Patents No. 5123422 / 5214054 / 5284548 (Profiling System Utilizing Regional Characteristics)

c-japan® Home is area segmentation data that clusters (classifies) towns, postal code areas, and meshes throughout Japan into 11 major categories and 35 subcategories using our proprietary patented technology based on age, family composition, housing, occupation, income, land prices, etc. Furthermore, by using data such as registered vehicle counts by model and chain store information by business type, various indicators can be generated for each segment tailored to the target audience.

Segment Example: B Urban | B1 Families Living in Apartments

▶Details here

*This solution does not handle personal information. The data included is irreversibly anonymized and statistically processed in a format (area-based) not linked to personal information.

About Our Company

Supporting data-driven business promotion for companies by building an ecosystem in the marketing data domain through the provision and operational support of marketing data analysis tools.

Provision of solutions for trade area analysis and area marketing

- GIS for Trade Area Analysis/Area Marketing "MarketAnalyzer® 5"

- Cloud GIS with GPS Location Data "KDDI Location Analyzer"

- Location Intelligence Platform "THE NOVEL", etc.

Provision of accumulated analysis data and know-how

- Support for advanced data strategies through the provision of data, APIs, and GIS engines

- Construction of systems for detecting in-store visitors

- Advancement of digital advertising segments

[Company Profile]

Company Name: Giken Shoji International Co., Ltd. (https://www.giken.co.jp/)

Representative: Tomomi Kojima, President

Location: Nagoya HQ: GSI Bldg., 2-30 Shuzei-cho, Higashi-ku, Nagoya City, Aichi Prefecture

Tokyo HQ: 7F, PMO Shinjuku Gyoenmae, 2-1-12 Shinjuku, Shinjuku-ku, Tokyo

Established: January 1976

Capital: 231,125,000 yen

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  • Source: PR TIMES
  • Category: 事例公開