When Your Algorithm Becomes Illegal Overnight
Building pricing logic is easy. Building compliant pricing logic is hard. I learned this the messy way.
I built a dynamic pricing module for an e-commerce client last year. Simple stuff — adjust prices based on demand, inventory levels, competitor rates. Standard stuff. The client loved it. Revenue went up 23%.
Then their lawyer called. Turns out, three states had just passed laws restricting algorithmic pricing in certain sectors. Not banned outright, but heavily regulated. They needed full audit trails, human approval workflows, and transparency reports. The algorithm I'd optimized for speed needed to be rebuilt for compliance.
Here's what I didn't anticipate: the business logic wasn't the problem. It was the proving of the logic.
Every decision the algorithm made needed to be justifiable. Why did price X get applied to customer Y? What factors influenced it? Is this discriminatory? Can we prove it isn't? Suddenly, I'm writing audit logs, decision trees, and documentation that rivals the actual code.
I see this pattern everywhere now. Companies building AI-driven features — whether it's pricing, hiring, lending, or content moderation — are discovering that "it works" isn't enough anymore. "It works fairly" requires a completely different architecture.
For developers building commercial products, especially anything touching pricing, lending, or resource allocation: start with compliance in mind. Don't bolt it on later. It's infinitely cheaper to architect for auditability from day one than to retrofit your entire system.
With open source products like Seven Shop, I'm already thinking about this. When users deploy pricing logic, they need to understand what it does. They need audit trails. They need override capabilities. Not because I'm nice, but because the regulatory environment demands it.
The wild west of "move fast and break things" doesn't work when breaking things means breaking laws.
If you're building pricing systems, recommendation engines, or any algorithm that impacts users materially: read your local regulations now, not after your product launches. Your future self will thank you. And your lawyer definitely will.