CUSTOMER STORY

Price optimization delivers $15M in margin at a global lubricants leader 

How a multinational oil and gas major used price optimization to guide every quote, gaining $15 million of margin in its North American lubricants division in year one.

Frame 183

Headquarters
United Kingdom
Employees
Not disclosed
Annual revenue
Not disclosed
SKUs managed
Not disclosed
Markets served
Lubricants (industrial & automotive)
Countries
100+
Headquarters
United Kingdom
Employees
Not disclosed
Annual revenue
Not disclosed
SKUs managed
Not disclosed
Markets served
Lubricants (industrial & automotive)
Countries
100+
Bosch
CUSTOMER STORY

How Bosch cut quote cycle time by 70%

[Name], [Role] at Bosch, on replacing spreadsheets and giving sales the speed customers expect.

avg_pace-dark  2:30
person-dark  David Pacut, Pricefx, Senior brand and creative lead
Linkedin     mail_dark     share-dark

The story


Ran price and margin management on in-house tools that couldn't surface deal-level margin opportunities.


Disconnected data and quoting without intelligent guidance led to margin compression and slow, inconsistent deals.


Partnered with Pricefx to bring peer pricing and AI-driven target prices into a standard quoting process, built with a strategic consulting partner.


Sellers now see optimized target prices, deal scores, and segment analysis, and can identify opportunities in a repeatable, data-driven way.


In the first year, the North American lubricants division gained $15 million in margin, with deal scores trending up 33% in four months.

avg_pace-dark  2:30
person-dark  David Pacut, Pricefx, Senior brand and creative lead
Linkedin     mail_dark     share-dark

Price optimization, by the numbers

$15M

First-year margin gain

+33%

Deal-score uptrend

55 →73

Avg. deal score, months 1-4

The story


“Bosch's pricing team was managing thousands ofSKUsacross regions in disconnected spreadsheets, withquoteturnaround taking days.”​


“The sales team was losing deals to faster competitors,evenwhen Bosch's pricing was more accurate.”​


“With Pricefx, Bosch centralised pricing logicandautomated approval workflows, replacing thespreadsheet-and-overrides cycle.”​


“Quote cycle time dropped 70%, from days to hours,withfull margin visibility for finance.”​

The story


“Bosch's pricing team was managing thousands ofSKUsacross regions in disconnected spreadsheets, withquoteturnaround taking days.”​


“The sales team was losing deals to faster competitors,evenwhen Bosch's pricing was more accurate.”​


“With Pricefx, Bosch centralised pricing logicandautomated approval workflows, replacing thespreadsheet-and-overrides cycle.”​


“Quote cycle time dropped 70%, from days to hours,withfull margin visibility for finance.”​

The story

“Bosch's pricing team was managing thousands ofSKUsacross regions in disconnected spreadsheets, withquoteturnaround taking days.”​
“The sales team was losing deals to faster competitors,evenwhen Bosch's pricing was more accurate.”​
“With Pricefx, Bosch centralised pricing logicandautomated approval workflows, replacing thespreadsheet-and-overrides cycle.”
“With Pricefx, Bosch centralised pricing logicandautomated approval workflows, replacing thespreadsheet-and-overrides cycle.”

Limited ability to spot opportunities and execute peer pricing

Before implementing Pricefx, the company used in-house developed tools for price and margin management, however pricing, sales, and commercial teams faced many challenges. One major limitation identified was the inability to identify deal-level margin improvement opportunities.

Additionally, disconnected data across deal-making processes lead to misaligned business workflows. Most importantly, core pricing processes (including quoting) lacked intelligent sales team guidance which directly contributed to margin compression.

Legacy manual data entry and analysis workflows caused significant pricing and process inefficiencies. This fragmented process impacted customer centricity, resulting in slow and inconsistent quoting, deal set-up, and contracting. Manual errors in formula price management further impacted the margin.

Strategically, the existing tools were determined to be inadequate for systematically deploying the necessary value-driven price guidance needed to stay competitive and deliver improved business outcomes.

Identify opportunities and challenge deals with data-driven pricing

To address these challenges, the company partnered with Pricefx to implement a solution that automates key pricing and margin processes while integrating peer pricing into quotes.

The primary objectives for the Pricefx implementation were to:

  • Provide sellers with improved guidance by taking a more data-driven approach to pricing and quoting.
  • Streamline deal-making processes and align sales quoting and related business workflows.
  • Enhance analytics and insights capabilities for improved decision-making.
  • AI Optimization, including a customer and product segmentation model and price guardrails, providing optimized target prices to sellers. Developed in collaboration with a strategic consulting partner, the solution was delivered via the Pricefx Optimization Platform. The solution involved comparing current prices with manual proposals from the user and target prices from Pricefx Optimization.
  • Quoting provides the sales team with visibility into target pricing within a standard process. Teams gained additional visibility into deal scoring, as well as customer and product segment analysis, to support the evaluation of overall deal-level margin.
  • Analytics provides pricing insights including the ability to identify opportunities and act in a repeatable and data-driven manner.

This customer successfully deployed Pricefx capabilities including:

“Pricing Segmentation was the differentiator and value enabler. The peer pricing capabilities gives us the ability to identify opportunities and challenge deals in a much more data-driven manner than previously.”

— Integrated Deal Making Leader, multinational oil & gas major — lubricants division

Optimized pricing and peer pricing as a value enabler

Within one year after implementing Pricefx, the company realized significant improvement in key business metrics:

  • Deal Score: The sales team recorded a 33% initial upward trend in deal scores in the first four months, reflecting improved commercial decision-making.
  • Margin Improvement: Implementation of AI Optimization in combination with sales execution and insights resulted in a gain of $15 million over one year for the North American Lubricants division.
  • Operational Efficiency: Improvements in price execution and operational efficiency were observed as well as improved customer experience.
robotic_assembly_line_factory_

About the customer

 

This story features one of the world's largest investor-owned oil and gas companies, anonymized at the customer's request. The company spans exploration, production, refining, and the marketing of oil, gas, and chemicals products, and is one of the world's largest suppliers of lubricants for industrial, automotive, aviation, and marine applications, serving consumers in more than 100 countries.

KEEP EXPLORING

Related content

Complexity network closeup

ANALYST REPORT

See why AI & agents are becoming a GTM imperative

A new Forrester Trends report, sponsored by Pricefx and SAP, on how agentic AI that can reason, plan, and act is reshaping B2B marketing, sales, and pricing.

Person Wearing Green Bib with Leader Text at Sunset

ANALYST REPORT

See why IDC names Pricefx a Leader

Read the IDC MarketScape excerpt on B2B revenue and profit optimization platforms, where Pricefx is named a Leader, with the trends and evaluation criteria shaping how buyers choose pricing software today.

Confident Presenter Before Smiling Executive Team

TOOLKIT

Make the executive case for pricing software

A ready-made kit of slides, scripts, an ROI calculator, and templates that turn AI pricing interest into a board-ready business case, in a single 30 to 45 minute executive session.