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AI Сonsultant (ChatGPT)

The module adds an intelligent assistant to the site. The Сonsultant (based on a questionnaire) helps users select products according to specified parameters and gives personalized recommendations for their use.
Please enter a valid addres(es) of the shop where you are going to use the add-on.
By subscription 100 000 
Latest module version Updated:
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AI Consultant (ChatGPT)

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MS: AI Consultant (ChatGPT) helps shoppers complete a short questionnaire and receive product picks based on their answers. It is a good fit for storefronts that need a personal consulting flow without manual handling of each request.

What it is for

  • to collect shopper answers in a clear flow;
  • to show products that better match the request;
  • to provide practical usage recommendations;
  • to keep the consultation close to a chat experience.

Key features

  • questionnaires with groups of questions and answer variants;
  • product selection based on questionnaire data;
  • personalized recommendations;
  • storefront block for launching the consultation;
  • questionnaire management in the admin panel;
  • assistant refresh and product file generation.

How it works

You first create a questionnaire and configure questions, answer options, and prompts. Then you place the block on the storefront, where the shopper fills in the form. The add-on collects the answers, builds a request, sends it to the AI service, and then shows recommendations and matched products.

Have questions about the add-on?

Write to us.


Product:
  • Store Builder
  • Store Builder Ultimate
  • Multi-Vendor
  • Multi-Vendor Plus
  • Multi-Vendor Ultimate
Recipient:
  • Buyers
Development
:
  • Backend
  • Frontend
Localization:
  • English
  • Русский
Compatible versions:
  • 4.20
  • 4.19.X
  • 4.18.X

Instructions for MS: AI Consultant (ChatGPT)

The add-on helps you collect shopper answers through a questionnaire, build a request for the AI service, and show personalized recommendations with matching products. It fits scenarios where you need a guided selection flow instead of manual handling of each request.

What the add-on does

  • creates questionnaires with question groups and answer variants;
  • collects shopper data and turns it into a prompt;
  • sends the prompt to the AI service and returns recommendations;
  • can match products based on questionnaire results;
  • shows the consultation form on the storefront in a separate block;
  • provides tools to recreate the assistant, update it, and clear dialogs.

Where to find the add-on

  • Administration → Add-ons → Manage add-ons → MS: AI Consultant (ChatGPT) — main add-on settings.
  • Administration → MS: GPT — questionnaire list and questionnaire card.
  • Design → Block manager — the storefront block MS: GPT.

The main settings include a Security key. By default it is set to ms_goods_gpt. The product file cron link uses this key.

When the security key is filled in, the add-on card shows the Generate products file, Update assistant, and Delete all threads buttons.

How to configure the consultation flow

  1. Open the add-on card and check the security key.
  2. If needed, use the cron link for regular product file generation. The module builds it from the secret key and runs it on schedule.
  3. Go to MS: GPT and create a questionnaire.
  4. Set the questionnaire name, work mode, display order, and the main prompt.
  5. If the questionnaire works in product selection mode, fill in the separate products prompt.
  6. Add question groups, then add fields inside each group.
  7. For each field, set the label, type, required flag, prompt, and, if needed, display CSS classes.
  8. For radio and selectbox fields, add answer variants and separate prompts for the variants.
  9. In Block manager, add the MS: GPT block to the desired storefront page and choose the questionnaire.
  10. If needed, adjust answer position, status bar display, and technical information output.

The questionnaire card has three tabs: General, Content, and Application check. The Content tab is used for groups and fields, while Application check lets you build the final prompt and send a test request to the AI service right away.

How to verify the result

  1. Open the questionnaire card and fill in the Application check tab.
  2. Click Check prompt to see how the module builds the request text from the questionnaire.
  3. Click Get answer to test the AI response.
  4. On the storefront, open the page with the MS: GPT block, fill in the questionnaire, and submit the form.
  5. Make sure the module shows the answer, recommendations, and matched products.
  6. If the status bar is enabled, verify that it changes during the response wait.
  7. If technical information is enabled, check the displayed run_id and response status.

If the shopper is not logged in, the storefront block shows an authorization prompt.

Changelog

v1.5.1 from 06.08.2026

[*] Updated the add-on code, templates, and integration files.

[*] Updated the add-on description, instructions, changelog, and logo.

v1.5.0 from 2026-02-23

[*] Updated the add-on template.

v1.4.0 from 2026-02-06

[*] Changed the AI domain and adjusted server response handling.

[*] Updated the add-on template.

v1.3.0 from 2025-09-05

[+] New features and fixes:.

[+] Added block settings, a status-bar template, and a token counter in the add-on settings.

[!] Fixed saving field variants in non-primary languages.

v1.2.0 from 2025-05-20

[*] Changes and fixes:.

[!] Fixed passing the user ID when requesting a GPT response.

[+] Added settings for answer position and technical-information display, and switched the GPT server host to HTTPS.

v1.1.0 from 2025-03-20

[+] New features:.

[+] Products are transferred in batches of 1000, assistant creation was moved into a separate request, and the add-on ID is passed for project verification.

[*] Added a JSON product-request prompt, buttons to recreate the assistant and delete dialogs, and updated storefront output.

v1.0.0 from 2025-03-06

[+] New features:.

[+] Initial release.

Legend:

[+] Added

[-] Removed

[*] Changed

[!] Bug fixed

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