What is ChatGPT's new feature "Shopping Research"? The era has come where you can completely entrust the "Recommended Product Guide" to AI.

1. The Era When ChatGPT Becomes a "Shopping Companion"

Until now, online shopping meant

• searching

• opening comparison sites

• reading through reviews

• narrowing down candidates

which was the norm in the "20-tab hell."

Enter ChatGPT's "Shopping Research."
All users need to do is express what they want in natural language, and the AI aggregates information from the internet to create a personalized "recommended product guide."OpenAI+1

Released in time for Black Friday and year-end sales, this feature can be a reliable "shopping companion" for those who feel overwhelmed by tracking sale information or unsure about which product is best.Axios+1

2. What is Shopping Research? Basic Features and Characteristics

2-1. What are its features?

According to OpenAI's official explanation, "Shopping Research" is a shopping-specific mode with the following features.OpenAI+1

• Listening to user requests (purpose, budget, preferences, etc.) through conversation

• Automatically researching reliable sites, reviews, and comparison articles on the internet

• Picking multiple product candidates and organizing specs, prices, pros/cons, and trade-offs

• Summarizing in an easy-to-read "buyer's guide" format

Unlike the "normal ChatGPT responses," it operates as a dedicated mode focused on shopping, delving deeply into the information needed for purchasing.Impress Watch+1

2-2. Available Plans and Supported Environments

As of the release, the following users are said to have access.OpenAI+1

• Free

• Go

• Plus

• Pro

It can be used by any "logged-in user" and is gradually being rolled out on the web and mobile app versions (iOS/Android).
During the holiday season, it is announced to be available "almost unlimitedly."OpenAI+1

2-3. What Categories is it Strong in?

According to OpenAI and various media verifications, it is particularly effective in categories with many specs and comparison points.OpenAI+1

• Home appliances and electronics (TVs, laptops, vacuum cleaners, etc.)

• Beauty appliances and beauty items

• Kitchen appliances and cooking tools

• Home & Garden (furniture, interior, etc.)

• Sports & Outdoor goods

Rather than just listing "popular rankings,"
it organizes recommendations based on conditions like "if you prioritize quietness, choose A," "for cost performance, choose B," or "for design focus, choose C."

3. For Japanese Users: How to Start Shopping Research

3-1. How to Activate

There are two main ways to activate Shopping Research.CNET Japan+1

1. Ask shopping-related questions directly

   • Example: "Find an electric height-adjustable desk for remote work under 100,000 yen."

   • Example: "I want a quiet drum washing machine for a single person."
     → ChatGPT will suggest, "Would you like to research this with Shopping Research?"

2. Select from the "+" menu in the chat screen

   • Press the "+" button on the left of the input box → Select "Shopping Research"

In either pattern, you just need to continue the conversation as usual.

3-2. Can it be used in Japanese as is?

Yes, it can be used in Japanese.
Japanese media have already published usage reports in Japanese environments,
reporting that "it can be used from Japan on iPhone, iPad apps, and the web version."GetNavi web ゲットナビ+1

You can ask questions in Japanese, and
you'll receive guides incorporating information from Japanese shops, such as "models often sold on Rakuten Market or electronics retail sites" (though, as mentioned later, Amazon has some special circumstances).CNET Japan+1

4. Real Examples: Conversation Flow of Shopping Research

To make it easier to imagine actual usage scenes,
we will explain the flow of "Shopping Research" in four typical cases.

4-1. Example 1: Looking for a Quiet Cordless Vacuum Cleaner

Your Input Example

"Looking for a cordless stick vacuum cleaner for a small apartment, as quiet as possible. Budget is around 50,000 yen."

Shopping Research's Actions (Image)

1. First, ask about room size, floor type, weight preference, battery life, etc.

2. Based on the responses, research online reviews, comparison articles, and official specs

3. List 3 to 6 candidates

4. For each

   • Intended User

   • Suction Power

   • Noise Level Trend

   • Weight and Maneuverability

   • Battery Time

   • Approximate Price Range

   • Pros/Cons
     Generate a "purchase guide" summarized in tables or bullet points

What Users Can Do

• Request additional comparisons like "Narrow it down to just these two models" or "Is there a cheaper model?"

• Provide feedback with buttons like "Not Interested" or "Similar Products"
  to further narrow down to candidates that suit your preferences.ECzine+1

4-2. Example 2: Finding an Electric Height-Adjustable Desk Within Budget

In an Impress Watch verification article, an example is introduced where "6 electric height-adjustable desks under 100,000 yen" were generated using Shopping Research.Impress Watch

Conversation Image

• User:
  "I want an electric height-adjustable desk for remote work with a desktop width of about 120 cm, under 100,000 yen."

• Shopping Research:

  • "How many monitors will you place?"

  • "How much does noise bother you?"

  • "Do you prioritize ease of wiring or having drawers?"

After these confirmations,
desks are lined up by themes such as "quietness focus," "cost performance focus," and "design focus,"
and their height adjustment range, load capacity, lift speed, and review ratings are compared.

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