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Business rules

Operations and workflow managementIntermediate Level

Business rules are statements that define how a company handles data and decisions, written so software can check, fill or route information automatically.

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What is Business rules?

Business rules are statements that define how a company handles its data and decisions, written so software can apply them automatically. An example: "every product sold in the EU needs a weight and a country of origin" or "products under 5 euros never get free shipping". In product data, business rules usually check, fill or route information. A validation rule blocks or flags a product with a missing EAN. A calculation rule sets a channel price from a base price. An assignment rule puts every product with Material: Leather into a care-instructions template. Business rules management is the practice of writing these rules down in one place, testing them and changing them without code. Rules that check data are the most common type; the data validation guide shows how to set them up.

Why Business rules matters for e-commerce

A catalog with thousands of products cannot be checked by hand before every export. Business rules turn the checks your team already does in their heads into steps the system runs every time, so a product without a price or image does not reach a channel by accident. Rules also keep channel differences manageable. Each marketplace has its own title limits, required fields and pricing. Writing those requirements down as rules means a new product meets them from the start instead of being fixed after a rejection.

Examples of Business rules

  • 1Rule type: Validation, Condition: EAN is empty, Action: Flag the product as not ready for Google Shopping
  • 2Rule type: Calculation, Condition: Channel is a marketplace, Action: Price is the webshop price plus a fixed fee
  • 3Rule type: Assignment, Condition: Material is Leather, Action: Add the leather care text to the description
  • 4Rule type: Validation, Condition: Title longer than 150 characters, Action: Show a warning to the editor
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How WISEPIM Helps

  • Set Quality Guard rules that flag products with missing or invalid data.
  • Use Content Logic and Template Strings to fill text fields from attribute values.
  • Apply pricing rules per channel and run automations on a schedule trigger, hourly to monthly.

Common mistakes with Business rules

  • Writing rules nobody owns, so they stay in place after the policy has changed.
  • Starting with dozens of rules at once, which buries editors in warnings.
  • Hiding exceptions in spreadsheets instead of making them part of the rule.
  • Never testing a rule on a sample of products before turning it on.

Tips for Business rules

  • Write each rule in one plain sentence before you configure it.
  • Give every rule an owner and a reason.
  • Start with rules that protect revenue, such as prices, identifiers and images.
  • Review rule results monthly and remove rules that no longer catch anything.

Trends around Business rules

  • No-code rule builders that let business teams change rules themselves.
  • Rules that trigger AI steps, such as classifying products without a category.
  • Channel rule packs that encode marketplace requirements.

Tools for Business rules

  • WISEPIM: Quality Guard rules, Content Logic, pricing rules per channel and scheduled automations.
  • Business rules management systems such as Drools or IBM Operational Decision Manager: General rule engines for complex decisions.
  • ERP systems: Often hold pricing and order rules that the product catalog has to follow.

Related Terms

API (Application Programming Interface)Batch processingBOPIS (Buy Online, Pick Up in Store) DataChannel ReadinessCross-functional CollaborationData Orchestration

Also Known As

Business logicRules managementValidation rulesData rules

Frequently Asked Questions

Business rules management is keeping all of a company's rules in one place, where they can be read, tested and changed without rewriting software. A business rules management system (BRMS) or a rule engine then applies them automatically. In product data, this often lives inside the PIM as validation, calculation and assignment rules.

In software, business rules are the conditions and actions that encode company policy, such as "if the stock is below 5, mark the product as low stock". Keeping them separate from the application code lets non-developers adjust them when the policy changes.

Write each rule as a clear condition and action, decide which products or records it applies to, and run it in a tool that checks data on save or on a schedule. Start with the rules that catch the most costly errors, such as missing prices or identifiers, and review the results before adding more.

An AI-driven rule engine combines fixed rules with AI steps, for example a rule that sends every product without a category to an AI classifier. The rule decides when to act; the AI fills or suggests the value. Most teams keep a human check on what the AI fills.

Data validation rules are one kind of business rule: they check whether data meets a standard, such as a title under 150 characters. Business rules also include rules that calculate, fill or route data, such as setting a price per channel.

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