LBMA Japan Location Information Awards 2025
The Location Business and Marketing Association Japan (LBMA Japan) will host the "3rd Location Information Award 2025" to honor remarkable initiatives that utilize location data, such as those that "popularized location business, marketing, and services" or "created a social impact". The goal is to celebrate these achievements and drive market growth and revitalization.
From the cases submitted by member companies, including self-nominations and nominations by others, the LBMA Japan Board of Directors has selected five Outstanding Performance Award winners.
The Grand Prize winner will be announced based on the results of the member vote, which will take place on December 15th.
Grand Prize
Candidate 1:Market Area Report AI (商圏レポートAI)
AI instantly analyzes vast amounts of data, enabling anyone to achieve sophisticated market area understanding.
Giken Shoji International Co., Ltd. / Data Insight Co., Ltd.
[Case Summary]
The "Market Area Report AI (商圏レポートAI)" is a function that uses the power of AI to enable anyone to easily perform advanced market area analysis, which was previously difficult for non-experts. It is integrated into Giken Shoji International's market area analysis GIS, "MarketAnalyzer® 5." This feature was developed through co-creation with Data Insight Co., Ltd., a member company strong in AI. Targeting "real market areas" linked to location information, it instantly analyzes a diverse range of over 1,000 data items. Rather than simply converting data using AI, it incorporates the expertise (detailed criteria) of analysis professionals, ensuring the output of highly reliable analysis results free from hallucinations (false information). It contributes to the democratization of market area understanding and decision-making for chain enterprises.
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Candidate 2:CITY INSIGHT Road Maintenance Support Service
Nightley Co., Ltd.
[Case Summary]
The "CITY INSIGHT Road Maintenance Support Service" is a new service (launched May 2025) that achieves efficiency and digital transformation (DX) in road infrastructure maintenance and management operations for local governments. It does this by analyzing human flow data (vehicle driving data) useful for analyzing road infrastructure usage—such as data from passenger cars, commercial vehicles, dashcams, and app GPS data. A notable feature is that its realization is based on collaboration with many data partner companies, including LBMA Japan member companies (e.g., Honda Motor Co., Ltd., Agoop, Hino Computer System, Yazaki Corporation, Tokio Marine Holdings, Inc., etc.).
・Implementation Cases
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Higashihiroshima City: https://bit.ly/4qzPFLN
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Mihara City: https://bit.ly/4qCkNKA
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Candidate 3:MetCom × Blogwatcher Realize Practical Application of "Layer Separation by Altitude Information" Technology with 3D Human Flow Big Data
MetCom Inc. / Blogwatcher Inc.
[Case Summary]
MetCom and Blogwatcher have collaborated to transform human flow data, which had previously been limited to two-dimensional visualization, into three dimensions. Using "layer separation" technology based on smartphone barometric pressure sensors, they can directly extract movement lines belonging to specific altitudes, such as underground passages, elevated decks, and particular building floors. Application in urban planning and transportation fields, including transfer analysis and facility internal flow analysis, is progressing. Having been adopted for a demonstration project by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), its societal implementation is accelerating.
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Candidate 4:"Shufoo! BizTrA" - Making Store Visits Highly Visible Provided by:
ONE COMPATH Co., Ltd.
[Case Summary]
"Shufoo! BizTrA" is an analysis service that visualizes store visits and the effectiveness of flyer measures—which were traditionally difficult to measure in the conventional sales promotion marketing market.
In collaboration with Unerry Inc., the service accurately identifies store visits from the location information of users of the electronic flyer service Shufoo!. By combining simple point-in-time visit data with data points like "content," "user attributes," "frequency," and "market area," it expands location information into multi-faceted value.
It is already being used by approximately 100 companies, promoting the establishment of a data-driven PDCA cycle in the sales promotion marketing market while significantly expanding the potential of the location information business.
In the future, the company plans to further utilize AI to optimize and automate sales promotion activities.
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Candidate 4:Don Quijote Pedestrian Digital Signage: New Inbound Customer Acquisition using Location Data × Pop Culture
unerry Inc.
[Case Summary]
The Don Quijote Pedestrian Digital Signage Project is an inbound customer acquisition measure executed through collaboration among Don Quijote, unerry, and manufacturers.
Based on unerry's location data, areas and routes with a high volume of international visitors were identified. Don Quijote characters carry multi-language digital signage while walking through the city, forming a consistent customer acquisition path from the streets to the sales floor. The core of this initiative is the fusion of pop culture-style presentation and data science based on location information. Using the signage's beacons and unerry's AI, store visits and purchases by ad contacts were measured, achieving a data-driven PDCA cycle.
As a result, the store visit rate for those exposed to the signage increased, particularly among Chinese travelers, where the visit rate was approximately 3.2 times that of non-exposed individuals. The utilization of location data enhanced the value of the digital signage advertising, contributing to the revitalization of the inbound tourism market.
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