Price lists that update themselves
When base prices move, every wholesale list recomputes from the same rules: no exports, no stale spreadsheet round-trips.
See the template →Set different prices for different customers: volume tiers, contract prices, unit pricing. The arithmetic has to stay correct through every catalog change. Collaudo turns the rules into code that recomputes them, and shows you the result before buyers see it.
When base prices move, every wholesale list recomputes from the same rules: no exports, no stale spreadsheet round-trips.
See the template →Volume tier 2 gets −18%, contract customers −22% with a floor: rules a form can't express, written as code you can read.
Compute and write price-per-unit metafields (per kg, per litre) across the catalog: required in much of the EU, tedious everywhere.
See the template →Mirror vendors into normalized tags so catalogs, discounts and B2B publications can target by supplier reliably.
See the template →Tag heavy or oversized items automatically so wholesale shipping rules and quotes stay accurate.
See the template →Pull supplier price files or ERP data over any HTTP API and apply them on your schedule, with the same dry run in front.
Every buyer-facing price rehearsed against real data before publication. How the dry run works →
Yes: automations read and write through the Shopify Admin API, which includes B2B catalogs, price lists and company data on Plus. If your wholesale setup is tags-and-metafields on a non-Plus plan, the same rules apply there.
If the ERP speaks HTTP, yes: automations can call any external API, so a price file or ERP endpoint can be the source of truth and Shopify becomes the projection of it, recomputed on your schedule.
The dry run. The whole recompute executes against your real catalog with writes held, and the report lists every price that would change, per customer group. A wrong rule produces a wrong report, not a wrong invoice.
Describe the job, watch the AI build it, rehearse it, deploy it.
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