A single source of truth for pricing logic — prices, discounts, insurance vouchers and every other cost-influencing factor, evaluated per customer and delivered consistently to every application that needs it.
Pricing management was cumbersome, inflexible and error-prone. Clinics relied on spreadsheets for parts of the pricing work. Pricing rules were hard-coded into applications, so routine pricing updates required code changes. Introducing a new pricing strategy took far too long, and the infrastructure delivering pricing data slowed order processing in the clinics themselves.
The Pricing Engine puts all pricing rules, conditions and exceptions in one centralized, governed system. Business rules are updated centrally — no code changes — and applications consume pricing logic instead of embedding it, which also makes future system replacement far simpler.
Single source of truth — all pricing rules, conditions and exceptions maintained in one system.
Built-in cost simulator — see the operational impact of a pricing strategy before it goes live.
Central rule updates — new pricing strategies ship without code changes, cutting time to market.
Fast in clinic — batched queries return exactly the data needed in a single request, even on constrained bandwidth.
Validated by design — strongly typed schemas enforce structure and constraints, so pricing responses are predictable and consistent.
Products grouped into logical collections that determine which items qualify for which discounts — with overrides where the business needs an exception.
Every product is evaluated against all active rules; the rule that benefits the customer most is the one applied. Automatically.
Maintenance plans, service cards and other add-ons are validated for entitlement, so only eligible benefits are ever applied.
Critical reference data is cached locally and synchronized daily with upstream systems — fast responses without stale answers.
Built on GraphQL: one endpoint, strongly typed, ready for microservices and event-driven architectures.