Nowcast Provides 'DataLens Store Development' AI Agent to Oizumi Foods
Nowcast, a Finatext Group company, has provided its 'DataLens Store Development' AI agent to Oizumi Foods. This initiative aims to digitize and centralize the management of over 600 monthly property leads, establishing a data-driven framework for store opening decisions.
📋 Article Processing Timeline
- 📰 Published: May 21, 2026 at 20:00
- 🔍 Collected: May 21, 2026 at 11:31
- 🤖 AI Analyzed: May 21, 2026 at 11:57 (25 min after Collected)
Nowcast Inc. (Headquarters: Chiyoda-ku, Tokyo; CEO: Hitoshi Tsujinaka), a Finatext Group company providing financial infrastructure for the AI era, has announced that it has provided its 'DataLens Store Development' AI agent to Oizumi Foods Co., Ltd. (Headquarters: Atsugi-shi, Kanagawa; President: Kenji Oizumi), which operates food and fitness businesses. Through this implementation, Oizumi Foods will digitize and centralize the management of over 600 property leads received monthly, building a framework for data-driven store opening decisions that does not rely solely on experience and intuition.
■ Background of Implementation
While focusing on its core food business, Oizumi Foods is also actively pursuing fitness operations, continuously working on new store openings and refurbishments. However, the company receives over 600 property leads monthly from real estate agencies via email or PDF, which previously required manual entry into management tools, consuming significant staff hours. Furthermore, while site evaluation has traditionally relied on on-site inspections and industry expertise, the company sought to transition to a framework where accumulated experience is combined with data to provide more objective evidence for store opening decisions.
■ Key Features of 'DataLens Store Development'
To address these challenges, Oizumi Foods has introduced Nowcast's 'DataLens Store Development.' Key benefits include:
1. Automated Property Import and Centralized Management
The agent automatically analyzes emails and attachments (e.g., PDFs) from real estate agencies, plots them on maps, and lists them within DataLens. This reduces manual input tasks, allowing staff to focus on core operations such as property assessment and site visits.
2. Visualization and Refined Decision-Making
By overlaying existing store data with prospective property locations on a map, the system enables centralized management. This helps prevent oversight, ensures comprehensive coverage, and allows for systematic prioritization of prospective sites.
■ About 'DataLens Store Development'
DataLens is an AI agent for store development that combines commercial area analysis features—based on 3rd-party data such as human flow and payment data—with generative AI technology. It streamlines complex information management and intuition-based decision-making, helping store development teams efficiently identify the most suitable properties among a vast amount of data.
■ Background of Implementation
While focusing on its core food business, Oizumi Foods is also actively pursuing fitness operations, continuously working on new store openings and refurbishments. However, the company receives over 600 property leads monthly from real estate agencies via email or PDF, which previously required manual entry into management tools, consuming significant staff hours. Furthermore, while site evaluation has traditionally relied on on-site inspections and industry expertise, the company sought to transition to a framework where accumulated experience is combined with data to provide more objective evidence for store opening decisions.
■ Key Features of 'DataLens Store Development'
To address these challenges, Oizumi Foods has introduced Nowcast's 'DataLens Store Development.' Key benefits include:
1. Automated Property Import and Centralized Management
The agent automatically analyzes emails and attachments (e.g., PDFs) from real estate agencies, plots them on maps, and lists them within DataLens. This reduces manual input tasks, allowing staff to focus on core operations such as property assessment and site visits.
2. Visualization and Refined Decision-Making
By overlaying existing store data with prospective property locations on a map, the system enables centralized management. This helps prevent oversight, ensures comprehensive coverage, and allows for systematic prioritization of prospective sites.
■ About 'DataLens Store Development'
DataLens is an AI agent for store development that combines commercial area analysis features—based on 3rd-party data such as human flow and payment data—with generative AI technology. It streamlines complex information management and intuition-based decision-making, helping store development teams efficiently identify the most suitable properties among a vast amount of data.
FAQ
What kind of data does DataLens use for analysis?
It uses alternative data such as human flow data, payment data, and job advertisement data as a base for analysis.
How does DataLens change property management?
AI automatically parses unstructured data like emails and PDFs, plots them on a map, and lists them, significantly reducing manual work.
Which industries is DataLens suitable for?
It is suitable for retail businesses that aggressively open new locations, such as food and fitness services.