AI Chatbot for Vendor RFQ and Quote Requests
SleekAI runs a structured intake conversation that gathers SKU, quantity, target unit price, lead time, delivery destination, and INCO terms, then writes the RFQ into your WooCommerce, ACF, or custom CRM table. Bring your own OpenAI, Anthropic, Google, or OpenRouter API key.
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Quote requests that arrive as half-finished emails
Most B2B quote requests come in as a single sentence: 'How much for 500 units, need by next month, ship to Rotterdam.' Your sales rep then spends two emails extracting the SKU, the exact quantity, the destination port, the INCO term, the tolerance on the lead time, and whether the customer needs CE marking or REACH compliance. By the time the RFQ is complete, three business days have passed, the buyer has talked to two competitors, and the win rate is half what it could have been.
SleekAI runs the intake as a structured conversation. The bot asks one question at a time, validates the answer against your product catalog, and writes each field into a new entry in your RFQ custom post type or a row in wp_postmeta attached to a draft WooCommerce order. By the time the buyer hits send, the RFQ has SKU, quantity, target price, lead time, delivery port, INCO term, and any compliance flags, ready for your rep to act on.
The bot also catches the common gotchas. If a buyer asks for 500 units of a product that ships in cases of 144, it suggests rounding to 576. If they request EXW Rotterdam but list a US billing address, it flags the mismatch. If they ask for delivery in 14 days on a product with a 30-day standard lead time, it offers the standard date and asks if expedited shipping is acceptable. Generic chatbots do none of this because they cannot read the catalog, the lead times, or the INCO term reference table.
Workflow
How the RFQ bot completes an intake
Match the SKU
Collect required fields
Quote indicative pricing
Write the RFQ record
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A typical vendor RFQ intake
Comparison
Generic chatbot vs SleekAI for vendor RFQ intake
Generic chatbot
- Cannot validate SKUs against the actual catalog
- Misses INCO terms, compliance flags, and lead times
- Does not write structured RFQ records into WordPress
- Forwards every request to a human without enrichment
- Cannot flag quantity mismatches against case sizes
SleekAI chatbot
- Validates SKU and quantity against the product catalog
- Captures INCO terms, lead time, destination, and compliance
- Writes the RFQ into a custom post type or order meta
-
Quotes volume pricing tiers from
_price_tiersmeta - Flags mismatches like 500 units in cases of 144
Features
What SleekAI gives you for Vendor RFQ Chatbot
Structured intake
The bot collects SKU, quantity, target price, lead time, destination, INCO term, and compliance flags one field at a time. Each field gets validated against your catalog before the conversation moves on, so no RFQ lands incomplete.
Volume-tier pricing
Quantity tiers stored on the product as _price_tiers or ACF repeater fields get read live. The bot quotes the unit price at the requested volume, then mentions the next tier up if it materially changes the per-unit cost.
Writes RFQ records directly
Every completed conversation creates a new post in your RFQ custom post type with all collected fields, or attaches them to a draft WooCommerce order. Your sales rep opens the dashboard and sees a ready-to-quote record, not a forwarded chat transcript.
Use cases
How distributors use the RFQ intake bot
After-hours quote capture
Buyers in different time zones submit RFQs at 3am local. The bot collects everything needed and queues the record. Your team starts the next day with structured leads instead of a backlog of half-written emails.
Sales rep deflection
Junior reps stop chasing buyers for missing specs. The bot does the discovery work, so reps spend their time on pricing strategy, negotiation, and relationship building instead of email volleys to clarify line items.
Multi-country quotes
International buyers need different INCO terms, lead times, and compliance docs. The bot adapts the intake based on the destination country, so a quote to Singapore captures different fields than a quote to Mexico.
The bigger picture
Why structured intake wins quotes
Speed to first quote is the single highest-leverage variable in B2B sales. Buyers who get a written quote within 24 hours of their first inquiry win the business 60% more often than those who wait three days, because by day three the buyer has already pinged two competitors and started a mental comparison. The bottleneck is almost never the quote itself, it is the discovery work needed before pricing can happen.
Sales reps spend an average of three emails extracting the destination, lead time, INCO term, and compliance requirements that the buyer assumed they had already mentioned. A structured intake bot collapses those three emails into a single chat session. The buyer answers each question in the moment they are thinking about the order, while context is fresh.
The RFQ lands on the rep's desk complete, validated against the catalog, and ready to quote. The downstream effect compounds across the funnel. Reps quote faster, so they quote more accounts in the same week.
Quotes are more accurate because the intake validated quantities against case sizes and lead times against destinations. Buyers feel competent for once, because they were not asked to know the difference between EXW and DAP up front. They picked the right answer from a short list, in the same chat where they got their indicative price.
Compliance and credit risk get flagged in parallel with quoting, not after, which prevents the deal from stalling at the contract stage. Every won deal shaves days off cash conversion.
Questions
Common questions about SleekAI for Vendor RFQ Chatbot
Wherever you want. Most setups use a custom post type called rfq with ACF fields for each captured value. Others attach the RFQ to a draft WooCommerce order so it appears in the same dashboard as paid orders. Both options keep the data inside WordPress where reps already work.
 Yes for catalog products with tiered pricing. The bot reads the product's price tiers and quotes the unit price at the requested volume. For custom configurations or negotiated accounts, the bot collects the request and explicitly marks the price as 'to be confirmed by account manager' to avoid committing to numbers the system cannot resolve.
 Each product's MOQ is stored as a meta field and read at intake. If a buyer requests 50 units of a product with a 100-unit MOQ, the bot explains the minimum, asks if they want to round up, and offers alternative products with lower MOQs from the same category.
 Yes. The bot keeps a running line-item list within the conversation and asks 'anything else' after each completed item. The final RFQ record stores the line items as a repeater field, with totals computed at submission time. Mixed-product quotes with shared lead times work out of the box.
 INCO terms (EXW, FOB, CIF, DAP, DDP) are part of the intake script. The bot asks early, since lead time and total cost both depend on it. Destination country drives which terms are valid, so DDP to a country your business cannot ship to is filtered out automatically.
 Yes. The bot can check whether the requesting email matches an existing customer record, and if so, pull credit terms from the account. New accounts get flagged in the RFQ with a 'requires credit check' marker, so finance can run the approval in parallel with the quote rather than after the buyer signs.
 Made-to-order products live as a separate category in the catalog with longer lead times and a 'requires specification' flag. The bot recognizes these and asks for additional fields like materials, dimensions, tolerances, and finish before logging the RFQ. The completeness of the brief drops engineering's first-pass quote time substantially.
 Yes. On RFQ submission, the bot returns an RFQ number, summarizes the captured fields, and confirms the next step (typically a written quote within one business day). The same number gets emailed to the buyer's address and surfaces in the rep's dashboard, so both parties reference the same identifier.
 Pricing
More than 1000+
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