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Data flow: DeSL ? Asana
When a new product concept, sample approval, or tech pack milestone is created in DeSL, an Asana project or task set can be automatically generated for design, sourcing, merchandising, and operations teams. This ensures downstream teams receive actionable work items as soon as PLM activities move forward.
Data flow: Bi-directional
DeSL can trigger Asana tasks for sample review, fit approval, and costing validation, while Asana task completion status can be sent back to DeSL to update the product record. This creates a controlled workflow between product development and operational execution teams.
Data flow: DeSL ? Asana
When DeSL identifies a product data issue such as missing BOM details, incorrect material specifications, or supplier discrepancies, an Asana issue task can be created and assigned to the appropriate owner. This helps resolve blockers quickly without losing context.
Data flow: DeSL ? Asana
As product launch dates are finalized in DeSL, Asana can be used to manage launch readiness activities such as packaging checks, marketing asset preparation, compliance review, and retail setup. Each launch milestone in DeSL can generate a coordinated Asana workflow for execution teams.
Data flow: Bi-directional
When a product change request is raised in DeSL, an Asana task can be created for review, impact analysis, and approval coordination. Once the task is completed, the approved change can be updated back in DeSL to keep product specifications and workflows synchronized.
Data flow: DeSL ? Asana
If DeSL identifies supplier-related actions such as missing confirmations, delayed sample submissions, or incomplete material data, Asana tasks can be created for procurement or vendor management teams. This gives internal teams a structured way to follow up and close supplier gaps.
Data flow: Asana ? DeSL
Key project status updates from Asana, such as completed tasks, overdue milestones, or blocked work, can be pushed into DeSL to provide product teams with a broader view of execution health. This helps PLM stakeholders understand operational progress without switching systems.