Who is this session for?

Commercial ops sales ops pricing and finance leaders at mid-to-large B2B organizations who are dealing with margin pressure quoting complexity or slow pricing processes especially in manufacturing distribution or industrial sectors.

What's the core problem this session addresses?

Static pricing processes can't keep up with volatile markets. When costs shift and competitors move fast the gap between your price list and the real market creates margin leakage and lost deals. This session covers how modern pricing strategies and AI-powered quoting close that gap.

What is AI-powered price optimization?

It's pricing driven by machine learning models (not fixed rules or spreadsheets) that analyze the customer’s own transaction history to recommend an optimized price recommendation for every deal. It combines price management AI-driven guidance for sellers and automated workflows so pricing decisions are consistent governed and fast.

What's the difference between price management and price optimization?

Price management is how you set govern and update your price lists across channels and customer segments. Price optimization is the AI layer on top of that: delivering account-specific recommendations deal-level pricing guidance and margin guardrails at the moment a rep is quoting or a deal is being finalized. Both are covered in this session.

How do I share this with my team?

Forward the recording link directly. The session runs roughly 60 minutes and is broken into 4 distinct segments (PwC market view Conga AI pricing overview ABB case study Freudenberg case study) so it's easy to share specific sections with relevant stakeholders.

Turning Price Volatility into a Competitive Advantage

Jul 15, 2026

40 min watch

Here Are the Key Takeaways:

Where Margin Leaks in a Volatile Market

Most commercial teams already know their pricing process has gaps. Costs change and the price list takes days to catch up. Sales reps discount on gut feel because there's no guidance at the point of negotiation. Quotes go out the door with the wrong numbers. The margin leaks quietly, deal by deal. This on-demand webinar brings together PwC, ABB, Freudenberg Sealing Technologies, and Conga, to show what it looks like when pricing transformation actually works.

What ABB Changed and Why It Mattered

ABB's commercial transformation didn't start with technology. It started with a decision to stop running pricing out of disconnected systems and gut-feel discounting. This on-demand webinar walks through how they rebuilt their pricing capability, what broke along the way, and what their commercial ops team looks like now.

How Freudenberg Used AI-Powered Quoting to Move Faster

Freudenberg Sealing Technologies deployed an AI-powered quotation agent to improve quoting accuracy and speed. They discuss how it works, what the ramp looked like, and where the efficiency gains showed up first.

What PwC and Conga See Across the Market

PwC shares market-level patterns: which pricing strategies are holding up in volatile conditions and which aren't. Dominic O'Regan adds Conga's view on AI pricing strategies, margin protection, and what separates companies that are growing profitably from those quietly losing ground.

The Takeaway

Volatile markets aren't going away. The companies protecting margin have stopped treating pricing as a quarterly exercise and started running it as a connected, AI-guided process. Watch the full session for the case studies, the market view, and where to start.

Presented By:

Frequently Asked Questions:

Who is this session for?

Commercial ops, sales ops, pricing, and finance leaders at mid-to-large B2B organizations who are dealing with margin pressure, quoting complexity, or slow pricing processes, especially in manufacturing, distribution, or industrial sectors.
What's the core problem this session addresses?

Static pricing processes can't keep up with volatile markets. When costs shift and competitors move fast, the gap between your price list and the real market creates margin leakage and lost deals. This session covers how modern pricing strategies and AI-powered quoting close that gap.
What is AI-powered price optimization?

It's pricing driven by machine learning models (not fixed rules or spreadsheets) that analyze the customer’s own transaction history to recommend an optimized price recommendation for every deal. It combines price management, AI-driven guidance for sellers, and automated workflows so pricing decisions are consistent, governed, and fast.
What's the difference between price management and price optimization?

Price management is how you set, govern, and update your price lists across channels and customer segments. Price optimization is the AI layer on top of that: delivering account-specific recommendations, deal-level pricing guidance, and margin guardrails at the moment a rep is quoting or a deal is being finalized. Both are covered in this session.
How do I share this with my team?

Forward the recording link directly. The session runs roughly 60 minutes and is broken into 4 distinct segments (PwC market view, Conga AI pricing overview, ABB case study, Freudenberg case study), so it's easy to share specific sections with relevant stakeholders.