Enhanced Plugin Feature
2026-03-17 07:17:24

Japan AI Introduces Enhanced Plugin Feature for GENIEE SFA/CRM

Japan AI's Enhanced Integration with GENIEE SFA/CRM



Japan AI Corporation, headquartered in Shinjuku, Tokyo, led by CEO Tomoaki Kudo, has announced the addition of a new integration plugin feature for GENIEE SFA/CRM, a customer management and sales support tool developed by Geniee, also of Shinjuku, Tokyo. This new functionality facilitates easy data analysis from the GENIEE SFA/CRM platform without the need to set up complex search parameters, allowing users to extract insights using natural language alone.

Background of Development



Historically, while data from daily sales negotiation activities stored in SFA/CRM systems accumulated, it was not fully leveraged for qualitative and quantitative trend analysis. To address this issue, the need for a seamless integration plugin with GENIEE SFA/CRM became evident, leading to the development of this new feature.

Features of the GENIEE SFA/CRM Integration Plugin



The newly introduced feature allows users to paste the negotiation URL or report URL from GENIEE SFA/CRM into the Japan AI platform. The AI agent then automatically retrieves and analyzes all relevant data, including negotiation information, activity history, and internal chat notes in real-time. This eliminates the tedious task of exporting negotiation data from GENIEE SFA/CRM to Japan AI, significantly reducing the administrative burden on sales staff.

1. Automatic Data Retrieval by Simply Pasting URLs


By pasting a negotiation URL from GENIEE SFA/CRM into Japan AI's input field, the AI agent can autonomously gather and analyze all relevant negotiation data, activity history, and memos. This removes the need for manual data exports and screen transitions, allowing sales professionals to focus on reviewing AI-driven analysis results and planning their next moves.

2. Cross-Analysis of Multiple Negotiations


The plugin supports cross-analysis of multiple negotiation URLs, enabling users to investigate qualitative trends, such as common reasons for lost deals. Additionally, using report URLs allows for bulk retrieval and aggregation of dozens of negotiation data points, providing insights that can be utilized for team-wide project status understanding and strategic sales planning.

3. Extracting Information Using Natural Language


Previously requiring filter settings, the extraction of information using GENIEE SFA/CRM can now be accomplished through natural language communication thanks to the integration with Japan AI. The AI can analyze qualitative information within the activity history that was difficult to filter, summarizing it instantly into reports.

Practical Applications



Inside Sales


The plugin makes it possible to extract a target list based on activity histories in GENIEE SFA/CRM, such as clients that were lost last year due to budget constraints. The system can automatically generate personalized follow-up texts (emails or call scripts), supporting various pre- and post-call tasks comprehensively.

Field Sales


For field sales representatives, the AI summarizes hearing notes and past interactions left by inside sales, offering proposal ideas instantly before negotiations. Post-negotiation, it can process drafted notes to summarize key points, organize next actions for internal follow-ups, and create follow-up texts for clients, thus significantly reducing time spent on administrative tasks.

Customer Success


By referencing the negotiation records from the time of winning the bid and daily supporting actions thereafter, the AI generates agendas for routine meetings that link the initial objectives with current challenges. Moreover, it analyzes communication histories (such as inquiries) to identify potential cancellation risks or upsell opportunities, facilitating proactive responses.

Sales Management


For individual project management, it helps managers analyze reasons for stalled negotiations and suggests remedial actions, supporting team coaching. Furthermore, it aggregates multiple notes on lost negotiations for cross-analysis, empowering sales strategy formulation based on genuine trends observed in the field.

Future Prospects



Looking ahead, the integration with customer management tools will continue to expand. By enabling AI to analyze data spanning past wins, losses, and support interactions, the system will autonomously suggest essential customer touchpoints, optimal timing, and tailored proposals, evolving into a robust sales support framework.

About Geniee



Geniee is a marketing technology company committed to creating a world where everyone can succeed in marketing. It aims to develop solutions that address various challenges related to revenue growth and productivity improvement while contributing to global technology advancements originating from Japan and Asia.

GENIEE SFA/CRM



The GENIEE SFA/CRM tool eliminates manual data input, achieving automated customer management, negotiation handling, and data analysis with zero input requirements. Its integration with AI reduces input burdens while allowing significant information accumulation. This simplicity and usability facilitate easy entry and analysis even for non-IT savvy personnel across various business sectors, from startups to large enterprises. More details can be found at GENIEE.

About Japan AI



Japan AI Corporation aims to create a sustainable future society through AI-driven product and service developments, contributing to the advancement of diverse industries.

Company Overview


  • - Name: Japan AI Corporation
  • - Representative: President Tomoaki Kudo
  • - Headquarters: 5/6th Floor, Sumitomo Realty and Development Shinjuku Oak Tower, 6-8-1 Nishi-Shinjuku, Shinjuku, Tokyo
  • - Established: April 2023
  • - Business Activities: Research and development of artificial intelligence, consulting services related to artificial intelligence.
  • - Website: Japan AI

Contact Information


For inquiries related to the product, please contact:

For media inquiries regarding this release, please contact:



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Topics Consumer Technology)

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