#Japan #Tokyo #Retail Technology #StoreRecord #StoreRecord AI

StoreRecord AI: Your New Assistant for Management Data Analysis

StoreRecord Corporation, based in Shinjuku, Tokyo, has made a significant leap in data management with the launch of its new feature, StoreRecord AI. Set to go live on April 22, 2026, this beta version allows users to analyze and visualize their management data using natural language queries. Retail and e-commerce operators no longer need to have specialized knowledge in SQL or dashboard operations; they can simply engage in a chat-like dialogue with the AI to extract real-time insights on sales, inventory, procurement, and expenses.

Understanding the Development Background

In the fast-paced environment of retail, once data is centralized within StoreRecord, a new challenge emerges: to view data from desired perspectives, users often must adjust dashboard settings or download CSV files for Excel recalibration. Particularly in scenarios requiring cross-brand, category, or channel analysis, extracting and aggregating data can consume valuable time and hinder rapid decision-making. To tackle these challenges, StoreRecord developed StoreRecord AI, leveraging generative AI to enable users to query their management data as if asking an internal data analyst.

Key Features of StoreRecord AI

Natural Language Data Analysis

One of the standout features is the ability to query data in natural Japanese. For example, a user might ask, "Extract the items with high stock but zero sales in the last 30 days" or "Compare the margin rates per brand to the same month last year." The AI pulls the necessary information from the database and provides responses without requiring any prior knowledge of SQL or functions. This empowers anyone—executives, merchandisers, or e-commerce professionals—to conduct their data analyses independently.

Recommended Use Cases

Let’s explore some typical use cases for StoreRecord AI that showcase its robustness:

1. In-Depth Analysis of Business Performance
Users can explore the reasons behind the changes in gross profit over the past year through iterative discussions with the AI. A conversation may start with the question, "What’s the year-on-year change in gross profit?" and follow up with insights into factors like discounts, acquisition costs, and brand performance.

2. Data Extraction Beyond the Dashboard
There are cases where users need metrics not standard on any dashboard but can still be calculated from the accumulated data. For instance, asking the AI for the repeat purchase rate of newly ordered products or analyzing high-return rate items by category could yield immediate results without waiting for a dashboard update.

3. Accelerating Inventory and Pricing Decisions
StoreRecord AI can help speed up daily operational decisions such as inventory review or pricing adjustments. Users can quickly identify problematic items or prioritize which to discount based on sales trends, eliminating lengthy manual reviews from dashboard filters.

Robust Security Measures

Utilizing Amazon Bedrock, StoreRecord AI integrates with Anthropic’s large language model, Claude, ensuring top-notch security for user data. Customer data is not used for AI training, and access to the database is restricted to read-only permissions, minimizing risks associated with data corruption or deletion.

Pricing and Future Developments

Currently available in beta, StoreRecord AI will be offered to customers on existing plans under specific conditions. Upon the official release, the basic plan will exclude this feature, while the premium plan will provide full access. Stay tuned for further updates regarding pricing changes.

StoreRecord envisions a future where all retailers can benefit from effective management practices. With StoreRecord AI at the helm, the company aims to expand capabilities such as automatic report generation, anomaly detection, and actionable insights—all powered by generative AI.

What is StoreRecord?

StoreRecord is a SaaS platform designed to automatically integrate and analyze vital business data—like sales, costs, orders, and inventory—from various channels like e-commerce, markets, POS systems, and more through API and RPA integrations. By visualizing these metrics in a unified dashboard, StoreRecord aims to enhance operational efficiency while empowering data-driven decision-making for retail companies.

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For more information about StoreRecord, visit their official site or contact them at [email protected]. Join the future of retail management today!