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Gogo Curry Group Enhances Efficiency with DataLens

The Gogo Curry Group has recently adopted Nowcast's innovative store development tool, DataLens, which brings significant advancements to their property selection process. By leveraging artificial intelligence for automatic property information collection, the system has improved operational efficiency by around 30%.

The Challenge of Traditional Property Selection

Gogo Curry, known for its chain of specialized Kanazawa curry restaurants and extensive involvement in product development and distribution, faced challenges in selecting and inspecting properties. Traditionally, the company relied heavily on manual efforts to organize large volumes of property information that real estate agents provided daily. This labor-intensive process not only slowed down operations but also limited Gogo Curry's ability to quickly identify ideal properties for expansion.

Introducing DataLens and Its Capabilities

DataLens is a cutting-edge tool that utilizes alternative data, including credit card transaction data and foot traffic information, combined with generative AI to enhance the collection and management of property information. This tool is designed to aid store developers in making data-driven decisions.

With the integration of AI and OCR technology, DataLens automatically digitizes property information presented in various formats, streamlining the previously cumbersome data extraction process. All property listings become visible on a map and can be cross-referenced with existing store data and additional insights, leading to a more refined selection process for potential locations.

Results Achieved Post-Implementation

Through the implementation of DataLens, Gogo Curry has dramatically reduced the time and effort required to organize property information, achieving an estimated 30% increase in work efficiency. Furthermore, the tool's sorting capabilities—such as distance from train stations and area size—allow for faster identification of suitable properties.

Testimonial from Gogo Curry’s Planning Division

Shinya Sawai, manager of the Sales Planning Department at Gogo Curry, shared his thoughts on using DataLens: "The first impression of DataLens is its intuitive usability. You can operate it seamlessly without needing to refer to a manual, achieving the desired results effortlessly. We've already significantly shortened the time needed for formal property selection. Going forward, we plan to further streamline our operations using tools for market area analysis and foot traffic assessment."

The Future of Store Development at Gogo Curry

Gogo Curry's adoption of this sophisticated tool marks a significant leap towards optimizing their store development strategy. As they move forward, the incorporation of additional analytical capabilities offered by DataLens will likely yield even greater efficiencies and enhance their ability to secure prime locations rapidly.

More about DataLens

DataLens is part of Nowcast's DataLensHub series—an industry-specific SaaS solution designed to rapidly identify high-quality prospects and properties. By leveraging intent data and third-party datasets, it supports business activities such as commercial leasing and store development, ultimately enhancing customer experiences with seamless data utilization.

Nowcast Company Overview

Nowcast, established in 2015, emerged from the University of Tokyo's economic research initiatives. As a key player in alternative data, Nowcast supports fintech applications and aids in economic strategy visibility for over 250 organizations, including financial institutions, government bodies, and hedge funds.

For more on how DataLens can transform your property selection process, visit DataLens Property and watch the introduction video here.