Workflows & Automation
Workflows and automation in Struct PIM define how work is structured, managed, and executed across teams.
Describes how processes are structured, tasks are managed, and actions are automated to ensure efficient and consistent collaboration across teams.
This helps teams work in a controlled and repeatable way when managing product data.
Overview
Managing product data often involves multiple people and steps.
Struct PIM provides tools to:
Structure processes
Assign responsibilities
Automate repetitive tasks
Track progress and approvals
This helps teams collaborate effectively and maintain control over how data is created and updated.
Core capabilities
Workflows and automation in Struct PIM include several key areas:
Workflows
Workflows define the steps involved in a process.
They can be used to structure activities such as:
Product onboarding
Data enrichment
Review and approval processes
Workflows ensure that tasks follow a defined sequence and that nothing is missed.
Tasks
Tasks represent individual units of work within a workflow.
They allow you to:
Assign responsibilities to users
Track what needs to be done
Ensure accountability across teams
Tasks help break down complex processes into manageable steps.
Business Rules
Business rules automate actions based on defined conditions.
They can be used to:
Trigger updates automatically
Enforce data rules
Reduce manual work
Automation helps ensure consistency and efficiency in data handling.
Progress & Approvals
Struct PIM provides visibility into process status.
You can:
Track progress across workflows
Monitor task completion
Manage approvals before data is finalized or published
This ensures that data is reviewed and validated before it is used.
How it fits together
These capabilities work together to support structured processes:
Workflows define the process
Tasks assign and track work
Business rules automate actions
Progress and approvals ensure quality and control
Why it matters
Workflows and automation enable you to:
Standardize how product data is managed
Improve collaboration across teams
Reduce manual and repetitive work
Ensure consistent and controlled processes
This helps maintain high-quality data while improving efficiency.
Related concepts
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