Nint ECommerce Expands AI Assistant Functionality to Store, Product, and Keyword Analysis

Nint Co., Ltd. has expanded its 'Nint AI Assistant' feature for the EC data analysis tool 'Nint ECommerce' to include store, product, and keyword analysis screens. Supporting Japan's three major EC malls, it streamlines the process from data analysis to insight acquisition.
新製品NQ 87/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: May 27, 2026 at 00:00
  • 🔍 Collected: May 26, 2026 at 15:31
  • 🤖 AI Analyzed: May 26, 2026 at 15:51 (19 min after Collected)
Nint Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; CEO: Junko Yoshino; hereinafter 'Nint'), provider of the cloud service 'Nint ECommerce,' which collects and analyzes public data from Japan's three major EC malls (Rakuten Ichiba, Amazon, and Yahoo! Shopping), has expanded the scope of its 'Nint AI Assistant' feature to include store, product, and keyword analysis.

Background of the Provision
'Nint AI Assistant' was initially launched on the industry analysis screen as a feature that interprets and presents data on analysis screens according to context, addressing the challenge faced by EC operators: 'I have data but cannot utilize it for decision-making.' User companies have highly praised the ability to grasp the background and key points of data without requiring specialized analytical skills.

Meanwhile, the screens opened by EC managers in their daily tasks extend beyond industry analysis. Nint has received numerous requests to utilize AI assistants for more routine analytical tasks, such as store analysis to grasp competitor trends, product analysis to track self-product performance, and keyword analysis to consider SEO strategies. Based on insights gained during the pre-provision period and specific customer requests, Nint has expanded the 'Nint AI Assistant' coverage to major analysis screens.

Expansion Details
With this update, the AI assistant is now available for the following analysis functions covering Rakuten Ichiba, Yahoo! Shopping, and Amazon:
- Store Analysis
- Product Analysis
- Keyword Analysis
Users can instantly grasp the main points of analysis results according to the screen they are viewing without additional configuration, obtaining an experience similar to industry analysis throughout routine analytical tasks.

Main Features
Provided in a form naturally integrated into the analysis screen, this feature can be utilized smoothly within existing workflows. Main features are as follows:
- Automatic AI Summary Generation: AI automatically interprets data displayed on store, product, and keyword analysis screens and concisely summarizes important points.
- Data Understanding Without Analytical Skills: Without specialized knowledge, users can intuitively grasp competitor store trends, performance of self-products, and search keyword trends.
- Presentation of Suggestions Based on Viewed Data: Targeted at the data currently being viewed, AI provides real-time changes in background and key points to support insight acquisition.
- Support for Interactive Follow-up Questions: Users can obtain deeper analysis or insights from different perspectives by asking follow-up questions to the AI-generated summary.

Usage and Conditions
This feature can be used by customers currently subscribed to Nint ECommerce without any additional settings. Simply clicking the 'Summarize page with AI' button displayed on the target analysis screen instantly shows the summary and insights.

Future Outlook
Nint will continue to promote the fusion of AI technology and EC data. The company plans to expand in stages, with an eye toward providing an 'AI Agent' feature that supports completion of tasks, such as report creation and strategy proposals across multiple analysis screens.

FAQ

Nint AIアシスタントで何ができるようになりましたか?

ショップ分析、商品分析、キーワード分析の各画面において、AIがデータを解釈し、重要なポイントの自動要約やインサイトの提示、追加質問への対応が可能になりました。

対応しているECモールはどこですか?

楽天市場、Amazon、Yahoo!ショッピングの国内3大ECモールに対応しています。

利用に追加費用や設定は必要ですか?

Nint ECommerceをご契約中であれば、追加設定なしで、分析画面上の「AIでページ要約」ボタンをクリックするだけで利用可能です。

このAI機能にはどのような特長がありますか?

自動サマリー生成、分析スキルに依存しないデータ理解、閲覧中のデータに基づく示唆の提示、対話型質問対応といった特長があります。

今後どのような機能が予定されていますか?

複数分析画面を横断したレポート作成や施策提案など、業務完了までを支援する「AIエージェント」機能の提供が計画されています。