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. holds a study session for EC managers to learn about improving analysis efficiency using AI.
📋 Article Processing Timeline
- 📰 Published: March 31, 2026 at 17:25
- 🔍 Collected: March 31, 2026 at 09:01
- 🤖 AI Analyzed: April 16, 2026 at 09:57 (384h 55m after Collected)
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) |
FAQ
What is the main topic of the study session?
The study session focuses on practical application of AI analysis for EC (e-commerce) operations, aiming to improve efficiency and depth of analysis.
Who is the target audience for this session?
The session is designed for EC managers, marketers, MDs, and advertising operations managers who are involved in operating stores on platforms like Rakuten Ichiba, Yahoo! Shopping, and Amazon, and who want to leverage AI for their work.
What are the key benefits of attending this session?
Attendees will learn about the current state of EC x AI, practical AI methods to reduce data aggregation time, real-world analysis examples from major EC platforms, and tips for effective prompt design.
What is the format and date of the session?
The session will be held online via Zoom on Thursday, April 23, 2026, from 16:00 to 17:00.
What is the deadline to register for the session?
The application deadline is Monday, April 20, 2026.