AI in Retail Revolution
2025-11-11 05:49:02

Transforming Retail: Embracing AI for Decision-Making in Today's Market

The Future of Retail: Embracing AI and Digital Transformation



In a rapidly changing retail landscape, understanding how to leverage artificial intelligence (AI) and digital transformation (DX) is paramount for businesses aiming to stay competitive. On November 20th, 2025, AI Data Corporation will host the "AI Agent x AX Forum ~ Retail ~" at the Nikkei Conference Room in Otemachi, Tokyo. This forum aims to address the challenges of retail management and demonstrate how AI can enhance decision-making processes on the ground.

Understanding the Challenges in Retail


Many retail companies still rely on disjointed systems that manage sales, inventory, accounting, and promotions separately. This disparate management leads managers and buyers to depend heavily on personal experience and intuition, causing issues like excess inventory or inefficient promotional strategies. A key focus of this forum is to break down these barriers of personal knowledge, data dispersion, and the absence of overall optimization in the retail sector.

The AI Agent x AX Forum will feature practical case studies and insights from the Retail AI Association and pioneering enterprises, highlighting how generative AI and data integration can lead to a new form of DX in retail. The aim is to inspire a shift towards a more data-driven decision-making approach.

Forum Highlights and Exclusive Features


Participants attending the forum in person will receive special advantages:
  • - Networking Opportunities: Interact with speakers and other attendees during designated networking sessions.
  • - Consultation Booth: Experience the AI Kokumei on IDX free consultation booth.
  • - Prompt Collection: Receive a collection of prompts designed for the retail industry using generative AI.
  • - Exclusive Resources: Access unpublished reports showcasing examples of generative AI applications within the retail sector.

Agenda Overview


The forum will kick off with an opening session, followed by a series of enlightening discussions led by industry leaders:

1. Opening Remarks (14:00 - 14:05)
2. Session 1: AI Supporting the New Era of Retail DX (14:05 - 14:20)
- Presented by Takahito Sasaki, CEO of AOS Group.
- This session explores how true DX in retail is achieved not only through technology introduction but by integrating wisdom and data from the field.
3. Session 2: Starting with Action (14:20 - 14:40)
- Led by Takuya Hayashi, CEO of the Retail AI Association.
- This talk emphasizes the importance of taking initial steps towards AI implementation, focusing on learning through trial and error.
4. Session 3: Transforming Sales Decisions with AI (14:40 - 15:25)
- Daisuke Shida, CTO of AI Data Corporation.
- Highlights the use of AI to convert personal sales experiences into collective knowledge and improve store decision-making.
5. Networking Session (15:25 - 15:40)
6. Session 4: The Future of Logistics with Next-Gen Cold Chain Solutions (15:40 - 16:00)
- Presented by Daigo Goto, CEO of Cold Storage Japan Corp.
- This session discusses innovative cold storage solutions that can transform logistics efficiency.
7. Closing and Feedback Request (16:25 - 16:30)

This forum is ideal for business leaders, DX and AI strategy promoters, and IT managers seeking to leverage AI in their retail operations. Its hybrid format allows for both in-person and online participation, ensuring accessibility for all professionals in the industry.

About AI Data Corporation


Founded in 2015 and based in Minato, Tokyo, AI Data Corporation has been a pioneer in utilizing data to empower businesses and individuals. With over 9,000 corporate clients and vast experience in data management, AI Data is committed to providing comprehensive solutions in data sharing, backup, recovery, and more. The company aims to foster collaboration through events like the AI Agent x AX Forum, which brings together industry leaders to enhance competitive advantage through AI and data integration.


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Topics Consumer Technology)

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