Sharp thinking on pricing strategy, commercial performance, and the decisions that deliver profitable growth.
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.
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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.
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 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.
Rebates and customer incentives are designed to drive profitable growth, but when managed ad hoc, they often create hidden margin leakage. Here's why leading manufacturers and distributors are treating incentive management as a strategic commercial capability.
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.
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.
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.
Discover why commercial complexity should be treated as a competitive advantage, how AI, data, and human brilliance work together to drive better decisions, and why the future of profitable growth depends on disciplined commercial systems, not guesswork.
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.
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