New ResearchCorpBenchSee the results ↗AI models tested on real business tasks.

Agentic Commerce

On demand

Buyer-Agent Product Configuration Agent

Check the fit before the quote.

Help a buyer's AI assistant choose a product setup with compatible parts that meet their requirements.

Take it into your workspace

Use Buyer-Agent Product Configuration

Choose where you want to use this blueprint, then copy the prompt to get started.

Choose your agent platform

Use Revensi in ChatGPT

Connect once, then paste your prompt below.

Add to ChatGPT

Personalise with Revensi
Configuration optionsIllustrative demo

Configure ten design workstations requiring 32GB RAM, two display outputs and a case no wider than 180mm.

  1. Extracted three hard constraints and fleet quantity.

What it does

Choose compatible components for the buyer's requirements.

Help a buyer's AI assistant choose a product setup with compatible parts that meet their requirements. Built for merchants selling configurable equipment through buyer-agent enquiries.

  1. Capture the product needs

    Provide the buyer's requirements, available products and compatibility rules. Compatibility test results and end-of-life notices can improve configuration choices.

  2. Check compatible components

    Select suitable components and check that they work together and meet the essential requirements.

  3. Present complete options

    Get a proposed configuration with item quantities and any unresolved choices.

How it works

Help a buyer's AI assistant choose a product setup with compatible parts that meet their requirements. Built for merchants selling configurable equipment through buyer-agent enquiries.

Agent architectureTools · knowledge · outputs · oversight
Approved documents and context
Versioned product specification catalogue Owned component compatibility and obsolescence matrix Optional: manufacturer compatibility tables and validated configuration test results, to check combinations beyond individual product specifications. Optional: firmware requirements, known incompatibilities and end-of-life notices, to avoid a configuration that will be difficult to use or maintain.
Spend less time assembling the right products
Review proposed products, components and quantities with the reasons behind each choice.
Catch unresolved compatibility questions
See which requirements are confirmed and which need a technical answer before the configuration is accepted.
Shopify · Read product variant specifications (read)
Use configured structured metafields for compatibility IDs; do not infer from marketing titles.
Google Sheets · Read approved compatibility matrix (read)
Retrieve machine-readable component constraints and owner version.
Google Drive · Read product technical sheets (read)
Attach source-backed dimensional and electrical evidence.
Human review and permissions
Product engineering approves undocumented component combinations before offering them. If something fails, pause the affected request and check what actually happened. Correct the source information, repeat the checks and renew approval if the proposed action changed. Keep a record of the issue.
  1. 01Gather the context

    Bring together the relevant information from Shopify, Google Sheets, Google Drive.

  2. 02Check what matters

    Select suitable components and check that they work together and meet the essential requirements.

  3. 03Prepare the result

    Get a proposed configuration with item quantities and any unresolved choices. What has been checked, what still needs a decision and whether any requested action actually completed. Keep private internal notes out of the buyer's response.

  4. 04Review proposed changes

    Product engineering approves undocumented component combinations before offering them. If something fails, pause the affected request and check what actually happened. Correct the source information, repeat the checks and renew approval if the proposed action changed. Keep a record of the issue.

Integrations

Commerce

Examples:
  • Shopify
  • WooCommerce

Structured records

Examples:
  • Google Sheets
  • Airtable
  • Notion databases

Documents

Examples:
  • Google Drive
  • Microsoft OneDrive

Choose the platforms your team already uses—you don’t need every example shown. Confirm the required features and configure access during implementation.

What you get

Turn a buyer's requirements into a reviewable product configuration with compatibility gaps visible before purchase.

Spend less time assembling the right products
Review proposed products, components and quantities with the reasons behind each choice.
Catch unresolved compatibility questions
See which requirements are confirmed and which need a technical answer before the configuration is accepted.

More for agentic commerce teams

Start with a blueprint. Build it around your business.

We’ll adapt it to your workflows, connect your systems and build an agent your team can put to work.

30 minutes. One bottleneck. Leave with a clear system concept.