Featured Insights
Practical thinking on pricing strategy, AI pricing, elasticity, forecasting and revenue optimization.
AI Pricing Is Not Just a Better Algorithm
Most companies aren't structurally ready for AI pricing. The real shift isn't a smarter model, it's connecting data as business context, not just as tables and reports.
Read article → Data ArchitectureOntology: The Missing Data Layer Behind AI Pricing
A data warehouse connects records. AI pricing needs something more, an ontology that connects meaning: the relationships between customers, products, competitors, and rules.
Read article → Dynamic PricingRelative Dynamic Pricing: Why Pricing Should Move With the Market, Not Just With Demand
Traditional dynamic pricing reacts to demand. Relative Dynamic Pricing treats price as a position, aware of competitors, substitutes, and perceived value in the market.
Read article → ElasticityWhen Price Elasticity Fails
Elasticity is one of the most important, and most misunderstood, concepts in pricing. Here's when it misleads, and what to combine it with to make better decisions.
Read article → InflationInflation Does Not Just Raise Costs. It Exposes Weak Pricing.
Inflation isn't only a cost problem. It exposes pricing systems that were never really systems: too slow, too broad, too reactive. The five mistakes, and the better questions.
Read article → InflationRelative Dynamic Pricing: The Discipline Companies Need in Inflationary Times
When costs rise and markets get noisy, companies need discipline, not panic. Relative Dynamic Pricing is the armor: protect margin without blind increases, defend volume without reckless discounts.
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