A Scalable Metadata-Driven Architecture for Dynamic Workflow Automation in Multi-Tenant CRM Platforms
Keywords:
CRM automation, multi-tenancy, metadata-driven architecture, workflow orchestration, scalability, SaaS platformAbstract
As organizations increasingly rely on Customer Relationship Management (CRM) systems to manage client interactions, the demand for workflow automation across diverse tenants has intensified. Traditional CRM platforms, however, struggle to accommodate high degrees of customization and scalability, especially in multi-tenant environments. This paper proposes a scalable, metadata-driven architecture that dynamically automates workflows while preserving tenant isolation and flexibility. Our model integrates a metadata abstraction layer to interpret and execute workflows dynamically, reducing deployment overhead and increasing agility. Through a prototype implementation and performance evaluation, we demonstrate how this architecture enhances scalability, adaptability, and maintainability in CRM systems.
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