LOOMAL
AI Quote Generation

Quote requests answered
in the same minute they arrive.

A buyer asking for a quote is the strongest signal in your funnel. But most teams take hours to respond — pricing lives in a spreadsheet, the rep is in a meeting, and the buyer moves on. A Loomal agent reads the request, pulls the right pricing tier, and replies inside the same thread before anyone forwards the message.

mail_list_messagesvault_getmail_reply

API Primitives used

mail_list_messages

Catch the request instantly

Agent watches its inbox for incoming quote requests. extractedText gives the LLM clean text to parse quantities, terms, and product asks.

vault_get

Pull pricing from the vault

Discount tiers, regional rates, and SKU lists live encrypted in the vault. The agent reads them per request without exposing the raw sheet.

mail_reply

Reply in-thread

Quote goes back inside the original conversation — no ticket numbers, no portal logins, no broken email chains.

Quote latency kills deals.

Buyers shop for quotes in batches. They send the same request to three or four vendors and pick the one that responds first with reasonable terms. Every hour of delay drops your win rate measurably — and most B2B teams take a full business day to send a manual quote.

The bottleneck isn't the math. It's the chain of human steps: read the email, find the pricing sheet, calculate the discount, draft the reply, send. An agent collapses all of that into a single API call — and replies before the buyer has finished checking the next vendor.

How to build it.

01mail_list_messages

Watch for incoming requests

Agent monitors a sales address for quote-shaped messages. The LLM extracts product, quantity, term, and any special terms.

02vault_get

Calculate the quote

Agent retrieves base pricing, applies the right discount tier from vault rules, and assembles the line items.

03mail_reply

Reply in-thread

Quote goes back as a clean reply with pricing breakdown, terms, and a clear next step. Reps get notified only if the buyer responds.

Example prompt

Watch sales@ for any quote request mentioning more than 50 seats. Pull the enterprise tier from the vault, apply a 12% volume discount, and reply to the prospect with the quote and a link to book a call.

What sales teams build.

Volume pricing

Agent applies tiered volume discounts automatically based on the requested quantity, with edge cases routed to a human.

Configure-price-quote

Agent assembles SKUs from a configurable catalog stored in the vault, validates compatibility, and prices the bundle.

Renewal quotes

Existing customers asking for a renewal quote get the right uplift applied automatically and the message threaded against their account.

RFQ triage

When a procurement team sends a request for quote, the agent extracts the line items, generates the response, and attaches the document.

Multi-currency quotes

Agent detects buyer geography, picks the right currency and regional pricing tier, and sends a localized quote.

Why quoting needs an agent identity.

Pricing data is sensitive, quote requests are high-intent, and email is the channel buyers actually use. Most automation tools handle one of those well — none handle all three. A Loomal agent does, because it owns the encrypted vault, the inbox, and the outbound identity in a single delegation chain.

The result is a quoting motion that runs in seconds instead of hours, with every quote audited against the rep who owns the agent and every pricing read logged. Revenue speeds up; compliance gets fewer headaches.

Pricing encrypted at rest

All pricing rules live in AES-256-GCM encrypted vault entries scoped to the sales agent identity.

Every quote audited

Each request, vault read, and outbound reply is logged with timestamp and delegation chain.

Identity-scoped catalogs

Different sales identities can hold different pricing — region, segment, or partner tier — with no cross-access.

Related use cases

Reply to quote requests in seconds.

Inbox to priced response, fully autonomous.