Use AI to understand price sensitivity, protect margin, and recommend profitable offers, at the level of a single customer.
Estimate willingness-to-pay per customer.
Set new-business prices that win profitably.
Balance retention and margin at renewal.
Give the smallest discount that still converts.
A/B test prices and offers before rollout.
Hold guardrails so discounts never break margin.
Surface the most profitable offer per customer.
Track realized margin and refine continuously.
No. It improves the tradeoff. By pricing to each customer's sensitivity, you win more of the deals worth winning while protecting margin on the rest.
You set the guardrails. The system optimizes within your business rules, eligibility, and compliance constraints, and every change can be tested before rollout.
Yes. Premium and renewal pricing are core use cases, alongside discount optimization for any product with margin to protect.
Prices and offers are A/B tested and tracked on realized margin against a holdout, so you see actual profit impact before scaling.
Start with a roadmap that quantifies the margin upside from customer-level pricing.
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