Skip to content
All products PRD-05 / Revenue & Margin
Revenue & Margin

Price Joule

Multi-Dimensional Pricing AI

Price across every dimension, automatically.

Pricing in manufacturing is multi-dimensional: volume, customer tier, region, raw-material cost, lead time, capacity and competition all move at once. Price Joule models every parameter together, learns from outcomes, and recommends a price that balances win probability and margin, with guardrails you control.

Dimensions

Volume · customer · region · cost · lead time · competition

Objective

Expected-margin optimisation

Controls

Policy floors, ceilings & approvals

Deployment

On-prem · cloud · hybrid

1 to 3%

The problem

A 1 to 3% pricing improvement often beats any cost-cutting program. Price Joule finds that margin by pricing on all the dimensions a spreadsheet can’t hold at once.

// How it works Price Joule

From input to outcome

01

Model the dimensions

Encodes every pricing parameter, volume, customer, region, cost, lead time, capacity, competition.

02

Learn from outcomes

Learns from historical quotes, wins and losses to map price to win probability.

03

Recommend with guardrails

Proposes a margin-optimal price inside the floors, ceilings and policies you set.

04

Adapt continuously

Reprices as material costs, demand and capacity shift, no stale price lists.

Capabilities

What Price Joule does

Many dimensions at once

Volume, customer, region, cost, lead time, capacity and competition, together.

Win-vs-margin balance

Optimises for expected margin, not just the highest or lowest price.

Policy guardrails

Floors, ceilings, approval thresholds and discount rules you control.

Cost-driven repricing

Reacts automatically to raw-material and capacity changes.

Scenario & what-if

Test the margin and win-rate impact of a pricing move before you make it.

Explainable recommendations

See which dimensions drove each recommended price.

+margin

on the same volume

N-dim

parameters priced together

Live

cost-driven repricing

Where it fits

Use cases

Common situations where Price Joule earns its place on day one.

  • Configure-to-order and made-to-order pricing
  • Volatile raw-material cost pass-through
  • Tiered customer / regional / channel pricing
  • Guardrailed pricing for distributed sales teams

See Price Joule on your own parts and data

We start with a focused study of your process, then show Price Joule working against your real workflow.