Sharp thinking on pricing strategy, commercial performance, and the decisions that deliver profitable growth.
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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Most organizations use AI. Few can say what it has changed. Seven takeaways from profitABLE26 Atlanta on recommendation engines, deterministic pricing logic, build versus buy, trust, and what happens when agents start negotiating with agents.
Security is a business problem, not a technology one. Learn how to prioritize risk, build a proactive framework and create shared responsibility across your organization, and how Vendavo protects the commercial data customers trust it with.
AI assistants change who makes the first call, so adoption now depends on trust. Learn how human approval, explainability and the override rate turn AI rollouts into managed change, with adoption plans for pricing, sales operations and IT leaders.
List price is visible. Pocket price is what you keep. Learn how to measure each off-invoice layer, set pocket price floors, and assign an owner to every deduction, so Heads of Pricing and CFOs can find where margin leaks and fix it.
Most B2B manufacturers have a margin improvement opportunity sitting in their pricing that spreadsheets cannot capture. This guide gives CFOs and finance leaders a four-part pricing software ROI framework, customer proof metrics, and the evaluation criteria needed to build a defensible business case for the investment.
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.
Fragmented commercial data is not just an operational headache for high-tech manufacturers. It is a direct margin risk. This piece breaks down where data fragmentation shows up across pricing, channel programs, and distributor submissions, and what it costs when the numbers driving commercial decisions cannot be trusted.
High-tech manufacturers launch products every quarter. Their pricing processes weren't built for that pace. This guide breaks down where legacy commercial infrastructure breaks down for semiconductor and electronic component manufacturers, and what AI-powered revenue management looks like when it's built to keep up.
Pricing intelligence cannot influence a deal if it arrives after the decision. Learn how embedding guidance into commercial workflows turns insight into action while outcomes can still be changed.
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