I've been thinking about pricing in the context of AI-driven quoting which leads to highly dynamic pricing.
Let's say we get really good at coming up with prices that maximize conversion (AI + sales). But what happens once the customer commits and we start charging on a regular basis?
That's where I see a gap. In most setups I've seen, we lose the context behind the price very early on:
- why is this customer paying $X instead of $Y?
- was it an AI suggestion, a discount, or a manual override?
- what inputs influenced the price point?
I'm thinking about this problem from the perspective of plan migrations, where we often don't know how to handle certain (small) cohorts with non-standard billing setup.
In your experience, is it a common practice to link pricing decisions (CRM / quoting + context) to the actual billing objects (subscriptions, customer records, etc.) in a structured and automated way?