Pricing Plans, Meet Prompt Engineering: LLMs and the Future of SaaS Monetization
It’s no secret that SaaS pricing pages are often a tangled mess of human-made tables, unclear add-ons, and marketing jargon masquerading as feature distinctions. What was once a differentiator—flexible, modular pricing—is now a liability for scale. In this increasingly complex landscape, a new concept is emerging: intelligent pricing (or iPricing), where SaaS pricing becomes a machine-readable, dynamically evolving artifact. The paper “From Static to Intelligent: Evolving SaaS Pricing with LLMs” by Cavero et al. proposes a concrete path toward this transformation. At its core is AI4Pricing2Yaml, an LLM-driven pipeline that scrapes, parses, and restructures SaaS pricing pages into a standardized YAML format. This isn’t just about scraping HTML; it’s about turning pricing into a software component—one that can be audited, version-controlled, and analyzed like any other part of the stack. ...