From inquiry to quote, without starting in Excel

· The STARGO WORK team · All articles

Why quoting is slow

An inquiry arrives. The salesperson first has to work out who the customer is, which market they are in and what they want; then dig through product files for specifications, open last time’s quote sheet to compare prices, chase the boss to confirm the margin, and finally build the quotation by hand. Every step lives in a different window, every step can go wrong, and none of those judgements or confirmations is recorded anywhere.

What Quote Studio does

  • Read the inquiry first: identify the customer, market, buying intent, quantity and risk signals, and link it to the existing account and its history.
  • Bring in company knowledge: the product database, knowledge base, past quotes and business rules drive product matching and configuration; unknowns are never invented.
  • Draft the quote: from customer, configuration, quantity, pricing rules, past deals, margin guardrails and trade terms.
  • Go through approval: price-sensitive items stop at an approval gate; once approved, the quote becomes the formal quotation and PI, with every version kept.

Where the people are

The salesperson no longer starts from a blank sheet but reviews a draft that already carries the customer’s context and the reasoning behind each number. The approver sees not an isolated figure but the margin, the guardrail, the price history and how this quote came about. Quote, approval record and the order that follows all stay on the same customer object, so when the next inquiry arrives the system already remembers the last one.

See Quote & Commercial and Inquiry & Customer Conversation on the capabilities page.

Related articles
Start with one workflow: the right order for bringing AI into a company
You don’t need to change the whole company at once. Pick the workflow that costs the most time or growth, let AI actually work there first, then decide which level you need.
Approval gates: delegate the work, keep the authority
Once AI can actually do the work, permissions, approval, evidence and audit are the product. Which actions need a gate, what an approver should see, and what the five governance components do.
What is an AI operating system for global trade?
Manufacturers and exporters don’t lack software; they lack the layer that connects the work. Three differences between an AI operating system and a chatbot, and one complete chain from acquisition to learning.
288 AI employees, not 288 chatbots
An AI employee has a role, goal, skills, tools, memory, permissions and execution evidence. What 288 stands for, how teams form in seconds, and why the company doesn’t stop when you close your laptop.
The enterprise ontology: a model of your business, for AI
The CRM has customers, the ERP has orders, the mailbox has inquiries, and none of them knows the others. The operational ontology maps the company into objects AI can understand and act on.

More from the blog

Start with one workflow: the right order for bringing AI into a company

You don’t need to change the whole company at once. Pick the workflow that costs the most time or growth, let AI actually work there first, then decide which level you need.

Approval gates: delegate the work, keep the authority

Once AI can actually do the work, permissions, approval, evidence and audit are the product. Which actions need a gate, what an approver should see, and what the five governance components do.

What is an AI operating system for global trade?

Manufacturers and exporters don’t lack software; they lack the layer that connects the work. Three differences between an AI operating system and a chatbot, and one complete chain from acquisition to learning.

The AI Operating System for Global Trade.
288 AI Employees. One Operating System.

Book a Demo

STARGO WORK

(Newsletter)

Be the first to know what’s new.

You are subscribed.
Something went wrong. Please try again.

© 2026 STARGO WORK -

(Location)

(Social)

Liuzhou, Guangxi, China