Agentic Commerce
On demand
Agent-Submitted Bulk Tender Response Agent
Account for every tender line.
Prepare a response to a bulk purchase list from a buyer's AI assistant.
Respond to six mandatory equipment lines; equivalent keyboards allowed.
- Matched each tender line and isolated the permitted keyboard substitution.
What it does
Match the buyer's shopping list to available products.
Prepare a response to a bulk purchase list from a buyer's AI assistant. Built for merchants responding to structured buyer-agent procurement requests.
Match every requested line
Provide the requested items, quantities, delivery needs and any permitted substitutions. Approved substitutions and tender clarifications can improve line-by-line matching.
Check permitted alternatives
Match each line to an available product and flag unavailable items or terms needing review.
Assemble a coherent response
Get an item-by-item response with proposed substitutions and outstanding questions.
How it works
Prepare a response to a bulk purchase list from a buyer's AI assistant. Built for merchants responding to structured buyer-agent procurement requests.
- Approved documents and context
- Buyer tender and substitution constraints Merchant catalogue, allocation and commercial terms Optional: buyer-issued tender amendments and clarification answers, to apply the latest requirement for each line. Optional: validated equivalence tables and approved prior substitutions, to identify alternatives worth offering where permitted.
- Make the bulk offer easier to compare
- Match each requested line to a proposed product, quantity and delivery option so the buyer can review coverage.
- Keep exceptions from blocking the whole response
- Identify unavailable items, permitted alternatives and terms requiring a commercial decision.
- Google Drive · Read structured tender document (read)
- Use an authorized file exchange; no direct buyer procurement API is assumed.
- Shopify · Read candidate product variants (read)
- Match stable product specifications and merchant prices.
- Salesforce · Draft commercial tender response (draft)
- Prepare the complete versioned response for approval.
- Human review and permissions
- Tender owner approves the complete response and every substitution or term exception. 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.
01Gather the context
Bring together the relevant information from Google Drive, Shopify, Salesforce.
02Check what matters
Match each line to an available product and flag unavailable items or terms needing review.
03Prepare the result
Get an item-by-item response with proposed substitutions and outstanding questions. 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.
04Review proposed changes
Tender owner approves the complete response and every substitution or term exception. 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
Documents
Google Drive
Microsoft OneDrive
Commerce
Shopify
WooCommerce
CRM
Salesforce
HubSpot
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
Prepare bulk-purchase responses with less line-by-line assembly and clearer handling of unavailable items.
- Make the bulk offer easier to compare
- Match each requested line to a proposed product, quantity and delivery option so the buyer can review coverage.
- Keep exceptions from blocking the whole response
- Identify unavailable items, permitted alternatives and terms requiring a commercial decision.
More for agentic commerce teams
Agent-Readable Offer Publisher
Turn your product and service information into clear offer details that buyers' AI assistants can read.
Source-Backed Buyer Enquiry
Answer a buyer's AI assistant using your product details and policies, with links to the relevant information.
Buyer-Agent Selection Test Lab
Test whether an AI assistant can understand your offer and match it to a buyer's needs.
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.