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Sharp thinking on pricing strategy, commercial performance, and the decisions that deliver profitable growth.

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Automated Pricing Optimization Starts with Friction, Not Features: A Practical AI Framework

The best AI use case may not be the most ambitious. It may be the one that gives your pricing experts hours back every week. Here is a more practical way to think about AI in pricing.

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Latest Blog Posts

When Commercial Process Complexity Becomes Margin Risk

Disconnection, not complexity, is the enemy of margin. As high-tech manufacturers expand across partners, channels, agreements, incentives, and customer relationships, manual handoffs can strip critical context from commercial decisions. See why the next advantage is not simplifying complexity but governing it.

  • High-Tech Revenue Management

Why Smaller Nodes, Shorter Cycles, and Faster Pricing Decisions Are Mandatory in Semiconductor Pricing Strategy

Smaller nodes and faster design cycles are compressing more than semiconductor innovation timelines. They are shortening the window to set, defend, and adjust prices without sacrificing margin. See why price waterfall visibility, special pricing agreements, margin guardrails, design-registration context, end-of-life rebate governance, and channel data management are becoming essential to…

  • High-Tech Revenue Management
  • Pricing

From Reactive to Predictive: The Future of Aftermarket Commercial Strategy

Aftermarket leaders cannot wait for margin erosion or customer defection to show up in the numbers. Predictive commercial strategy uses the signals already available across pricing, service, incentives, and customer behavior to act earlier. Explore practical ways to turn aftermarket complexity into more precise, profitable commercial decisions at scale.

  • Aftermarket
  • AI

How to Choose Rebate Management Software: A B2B Buyer’s Guide (2026)

Rebate programs can drive profitable growth, but complexity can quickly turn them into a source of margin leakage. This buyer’s guide breaks down what to look for in rebate management software, from automated accruals and auditability to enterprise scalability, integrations, and analytics.

  • Rebates

The Commercial Evolution of AI in Pricing 

Even sophisticated commercial organizations have room to advance. AI in pricing evolves from strong commercial foundations to connected intelligence, actionable recommendations, and increasingly effective execution. Explore the commercial evolution of AI in pricing and how connected data, AI insights, recommendations, workflows, and deliberate automation build on one another.

  • AI
  • Pricing

How AI Helps Reduce Quote-to-Cash Margin Leakage 

Margin leakage rarely begins and ends with one transaction. Learn how AI can connect signals across quote-to-cash, identify emerging margin leakage risks, and help commercial teams protect profitability before small pricing deviations compound.

  • Margin Leakage

AI Root Cause Analysis: The Fastest Way to Find Margin Leakage 

Margin leakage rarely stems from a single bad decision. It accumulates across thousands of transactions. AI-powered root cause analysis helps commercial teams move beyond identifying problems to understanding why they occur, enabling faster action and stronger financial performance.

  • AI

Why Vendavo’s High-Tech Acquisition Matters for the Future of Revenue Management 

Vendavo completed its acquisition of Model N's High-Tech business unit, expanding its commercial platform with channel data management and revenue execution capabilities. Learn why this milestone matters for semiconductor and high-tech manufacturers, and how a more connected approach to pricing, rebates, channel execution, and AI can help improve margin visibility.

  • High-Tech

The Real Power of Pricing AI Is Scaling Expertise

The organizations realizing the greatest value from AI aren't replacing pricing experts. They're using AI to extend expertise across the business, helping more teams make better pricing decisions while allowing specialists to focus on strategy, governance, and commercial impact.

  • AI
  • Pricing

Why Trust Matters More Than Explainability in Pricing AI 

Explainability is a critical requirement for AI adoption in pricing, but transparency alone does not inspire action. Discover why organizations need recommendations grounded in commercial context, evidence, and trust to drive confident pricing decisions.

  • AI
  • Pricing

Why AI in Pricing Needs More Than Predictions (It Needs Simulation) 

Most AI pricing conversations focus on prediction accuracy, yet many organizations still hesitate to act on AI recommendations. The next frontier is simulation, or the ability to test decisions before they reach the market, understand consequences before they impact revenue, and build confidence before change is deployed.

  • AI
  • Pricing

The Five Pricing Execution Breakdowns Holding Back Growth

Why do so many pricing transformation initiatives stall before delivering measurable results? Let’s break down the five most common pricing execution failures from spreadsheet dependence to unclear ownership, plus how organizations can modernize pricing operations more effectively. 

  • Pricing

Why Pricing Logic Must Live Inside the Workflow

Many organizations implement CPQ to accelerate quoting, yet pricing inconsistency and approval bottlenecks remain. Here’s why pricing logic, approvals, AI recommendations, and rebate visibility must live directly inside the quoting workflow to improve execution and profitability. The best pricing workflows balance speed, governance, autonomy, margin protection, and negotiation flexibility.

  • Economy
  • Pricing

The Hidden Cost of Spreadsheet-Based Pricing

Manufacturers and distributors have invested millions in pricing technology, yet spreadsheets still dominate day-to-day pricing operations for many. Let’s take a look at the hidden operational costs of spreadsheet-based pricing, plus how organizations can reduce friction, improve governance, and modernize pricing execution.

  • Manufacturing
  • Pricing

Why Pricing Transformation Fails Without Execution

Pricing technology investments are accelerating across manufacturing and distribution, but many organizations still struggle with inconsistent pricing outcomes. Let’s explore why pricing transformation often fails at the execution level, plus how companies can close the gap between pricing strategy and frontline deal execution.

  • Pricing

Why Generic AI Isn’t Enough for Pricing Decisions

AI tools are everywhere, but not all AI is built for high-stakes decisions like pricing. While generic AI can generate insights, it lacks the context, data, and control needed to drive real pricing outcomes. Let’s explore why purpose-built AI is essential for protecting margins, building trust, and smarter pricing.

  • AI
  • Pricing

Why the Aftermarket Has Become the Most Strategic Growth Lever for Manufacturers

The aftermarket has grown from a support function to one of the most powerful growth and profitability levers for manufacturers today. Let’s explore what’s driving the shift, why traditional pricing models are falling short, and how leading organizations are turning aftermarket strategy into a competitive advantage.

  • Manufacturing

Pricing Methodologies in the AI Age

Pricing evolves faster than most teams can keep up. Manual rules, static models, and gut-driven decisions have significant limits. So how do you move forward without losing control? This practical framework helps pricing leaders understand where they are today, what’s possible with AI, and take the next step with confidence.

  • AI

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