Custom code fragmentation
Default WooCommerce behavior does not cover optical-specific constraints without substantial custom code.
Technical implementation
WooCommerce conditional variations for prescriptions
Set up WooCommerce conditional variations for prescriptions to ensure only valid sphere cylinder axis combinations are selectable.
Designed for agencies and developers who need predictable behavior across product, cart, checkout, and orders.
- Server-side validation
- Native WooCommerce hooks
- Zero custom SQL
Common blockers this page solves
Data model inconsistency
Independent custom snippets per store create maintenance overhead and inconsistent data structures.
Maintenance overhead
Order metadata quality degrades when cart logic and field validation are implemented in disconnected layers.
Implementation plan
- Phase 1: Define one canonical data model for prescription fields, conditions, and valid ranges by product family.
- Phase 2: Apply the same validation logic in product UI, add-to-cart, and server-side order creation.
- Phase 3: Connect pricing and stock rules to the same logic layer to avoid drift in production.
- Phase 4: Validate output in WooCommerce admin and exports, then lock changes behind staging-first release checks.
What WP Optix adds for this use case
Prescription and validation layer
- Field-level controls for sphere, cylinder, axis, BC, DIA, and add power.
- Conditional logic and valid-range enforcement by product family.
- Consistent prescription data from product page to order metadata.
Commerce and operations layer
- Dual-eye cart items with independent quantities and predictable fulfillment data.
- Dynamic pricing by box count and lens type.
- Compatibility with modern WooCommerce architecture including HPOS.
Expected outcomes
Business outcome
Cleaner and more reliable order metadata.
Operational outcome
Lower long-term technical debt for agency-managed stores.
Scalability outcome
Safer upgrades with HPOS and WooCommerce releases.
Pricing and next steps
WP Optix plans are currently available from USD 79/year to USD 299/year, based on store scale and team needs.
Use pricing for direct purchase decisions and book a demo when you need help mapping catalog rules, validation logic, and rollout sequence.
Frequently asked questions
Can conditional logic prevent invalid option chains?
Yes. Rules can block or hide combinations that should never be sold together.
Is this easier to maintain than manual variations?
Yes. Rules-based models centralize logic and reduce repetitive variation maintenance.
Can non-technical teams update these rules?
Yes. With documented governance, operations teams can manage approved rule sets.