Study Session for EC Managers: "EC x AI Analysis Practical Course" Held - Grasp the Next Step in EC Operations with AI-Powered Analysis Efficiency and Depth

Commerce Ship Inc. (Headquarters: Kita-ku, Tokyo; President: Mamoru Ueno) will hold a study session titled "EC x AI Analysis Practical Course" for marketers and operations managers involved in EC on Thursday, April 23, 2026, from 16:00 to 17:00. Background of the Session EC platforms such as Rakuten Ichiba, Yahoo! Shopping, and Amazon generate vast amounts of data daily, including sales data, reviews, and advertising effectiveness. However, many on-site teams express that they are "too busy with aggregation to get to analysis."

In recent years, with the rapid evolution of AI tools, not only has the data aggregation and report creation, which previously took several hours, been significantly shortened, but an environment is also being established where EC managers themselves can perform in-depth analyses, such as competitor comparisons, trend forecasting, and customer LTV analysis, which previously required specialized knowledge.

This study session has been planned as a place to systematically learn such "practical knowledge of EC x AI."

Target Audience ・Individuals involved in store operations on EC malls such as Rakuten Ichiba, Yahoo! Shopping, and Amazon.

・Individuals who face data daily as EC managers, marketers, MDs, or advertising operations managers.

・Individuals interested in improving operational efficiency and advancing analysis using AI but are unsure where to start.

・Individuals who need to handle data themselves due to the absence of data analysts or engineers within their company.

What You Will Gain from This Study Session ・The current state of EC x AI.

・Specific AI utilization methods to reduce the time and effort required for data collection and aggregation.

・Practical analysis case studies using data from Rakuten, Yahoo!, and Amazon malls.

・Key points for designing prompts that can be immediately used in the field.

Session Overview Date and Time Thursday, April 23, 2026, 16:00 - 17:00 Application Deadline Monday, April 20, 2026 Format Online (Zoom)