For sales teams

Quote smarter, for every deal.

A priced proposal in minutes, discounts inside the guardrails, and a price every rep can explain.

“The way we quote today is all over the place, and that’s why I need the help.”

Board member, IT services group
See the use cases →

What hurts

Three things that cost you every quarter.

1

Discounting is out of control. The rules exist, nobody follows them, every deal is a one-off, and margin goes with it.

2

Quoting is slow and manual. An old CPQ, a homegrown calculator, and a proposal that takes two weeks.

3

Reps cannot explain the price. To sales it is a black box, so they avoid committing to a number.

What Mondrio does about it

Three things that change.

Pain 1. Discounting is out of control.

Discounts inside the guardrails, approved in hours.

  • Discount bands, floors and terms enforced on every quote, not in a policy document
  • Routine deals approved on the spot, only the exceptions go to a person
  • Discount trends per team and region, visible before quarter end
Deal Hub CPQ · Agentic deal desk →
Deal Hub /Approvals
Approval queue2 pending
Q-2041· Brightpath
$8% discount
Rule matched · within discount limitApproved by rule
Q-2051· Lumen Health
$$$18% discount
6h waiting
2 of 3 approved
AI: review terms · 3-year commitment, net 60
Rule: >15% discount or non-standard terms → Sales Manager + Finance

Illustrative product workflow · sample data

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Pain 2. Quoting is slow and manual.

A priced proposal in minutes, not weeks.

  • Pricing tables, payment schedules and signatures as drag-and-drop blocks
  • Ask for a quote in chat and the agent builds it on strategy
  • Versioned, approved and sent from the same place
Deal Hub CPQ · Agentic CPQ →
Deal Hub /Agent at work

Pain 3. Reps cannot explain the price.

A price every rep can explain.

  • Floor, target and going-in price on every line, with the reasoning behind it
  • Similar deals that closed, and at what price
  • Win probability next to every choice
Deal Hub CPQ · Pricing guidance →
Deal Hub /Pricing guidance
Scale plan
40 seats · annual
+0%
Below target
Price dial · net per seat
Floor $Target $$Going-in $$$
Deal guidance
Win probability
74%Sample estimate
Maya Chen · Example persona
Similar deal won at 12% discount

Illustrative product workflow · sample data

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See Deal Hub CPQ on your own pipeline.

Bring a live deal, leave with the first moves.