[Hosted by Hakuhodo BIZ GARAGE] Shopping Predictions in the AI Era: Unraveling Signs of Change from the '38 Roles' Expected of AI

The business portal 'BIZ GARAGE' operated by Hakuhodo delivers various information, including solutions and case studies for practicing full-funnel marketing. We also post numerous announcements for webinars and events where experts and practical leaders explain the latest topics and themes of high interest to companies in detail, hosting 'Hakuhodo BIZ GARAGE Webinars' for free.
The theme this time is 'Shopping Predictions in the AI Era: Unraveling Signs of Change from the '38 Roles' Expected of AI'.
Hakuhodo Shopper Research, a think tank within Hakuhodo, has announced 'DREAM', a new purchasing behavior model that evolves together with AI agents, as part of their 'Shopper Forecast 2025' to predict and propose future consumer shopping trends.
This seminar focuses on 'D (Dialogue)', which is the starting point of 'DREAM' and where the biggest changes are occurring.
We will reveal the '38 roles' consumers expect from AI in shopping, identified through the analysis of approximately 10,000 SNS posts. Furthermore, through in-depth interviews with 'early adopters' who are quick to incorporate AI, we will unravel the 'signs of change' coming in the near future from the insights hidden behind dialogues.
As AI deeply infiltrates shopping decision-making, treating AI merely as an alternative to search tools risks missed opportunities. We introduce an opportunity to quickly grasp how consumers engage with AI and consider the next move.

■ Event Overview
Title: Shopping Predictions in the AI Era: Unraveling Signs of Change from the '38 Roles' Expected of AI
Host: Hakuhodo BIZ GARAGE
Date & Time:
(1) Thursday, April 23, 2026, 15:00-16:00
(2) Thursday, May 21, 2026, 15:00-16:00
* The content is the same on both days.
* Missed viewing is available only for registered live stream applicants.
Format: Online event (Zoom live stream)
Fee: Free
How to participate: Advance registration required
Details & Application: https://www.bizgarage.jp/seminar/20260423?utm_source=release&utm_medium=prtimes&utm_campaign=20260406&utm_content=seminar/20260423

■ Application Deadline
(1) Monday, April 20, 2026, 15:00
(2) Monday, May 18, 2026, 15:00
Details will be sent later to your registered email address.
* Depending on security settings and operating environments, viewing may not be possible.
* In case of a large number of applications, participants may be selected by lottery.

■ Program * This program content is subject to change.
1. Introduction of the latest Generative AI market conditions and the new purchasing behavior model 'DREAM'
2. AI utilization insights from the early adopters
3. Hints for category conquest in the Generative AI era (Food/Apparel)
4. Introduction of Shopper Research x SEEDER solutions

■ Speakers
Yusaku Izawa
General Manager, AI Innovation Business Division, SEEDER Inc.
After joining a major comprehensive printing company as a new graduate, he engaged in a wide range of tasks related to new business development at SEEDER Inc., including M&A intermediation in JV new business launch support, PMI planning, market research, consumer interviews, new business planning, and promotion of proof-of-concept projects.

Nahoko Sakai
Strategic Planner, Strategic Business Division, SEEDER Inc.
Experienced in qualitative and quantitative research at a major research company. She was then involved in business phases from 0 to 1 and 1 to 100 in four different fields: hotel chains, shopping malls, cosmetic companies, and startup support. Currently, she is engaged in consulting work related to product development at SEEDER.

Takumi Iijima
Hakuhodo Shopper Research, Hakuhodo Inc.
Joined Hakuhodo in 2022. He publishes research results on a wide range of themes, including 'Shopping desire in the Reiwa era', 'The new purchasing behavior model DREAM in the era of living with AI agents', and 'Price surges and saving awareness'. Author of the book 'The 20 techniques that create "I want to buy this!" common to selling companies'.