Field notes on pricing, margin & AI.
Research, playbooks, and product thinking from the team building autonomous pricing, written for the people who own the P&L.
AI Price Optimization: How It Actually Works
AI price optimization sets a profit-optimal price for every SKU. Here's how the engine actually works: strategies, guardrails, and explainable math.
Competitor Price Monitoring: A Signal You Can Trust
Competitor price monitoring only helps if the signal is stable. Here's how to track the right SKUs, at the right cadence, and turn noise into a price you trust.
Cost-Plus Pricing vs Value-Based Pricing Explained
Cost-plus pricing vs value-based pricing: one starts from your costs, the other from the buyer's perception. Here's when each wins, and how to use both.
Dynamic Pricing vs Price Optimization: The Difference
Dynamic pricing vs price optimization: they're not the same thing. One decides the right price, the other changes it fast. Here's how they differ and fit.
Explainable AI Pricing: Why No Black Box Matters
Explainable AI pricing means every price shows its reasoning. Here's the difference between explainable-by-design and a black box you bolt explanations onto.
Price Elasticity of Demand Formula: A Practical Guide
The price elasticity of demand formula, with worked examples, the midpoint method, and how to actually use elasticity to set a profit-optimal price.
One sharp idea on pricing, every other week.
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