II.
Workflow JSON
Structured · liveworkflow:trend-forecasting-cycle
Trend Forecasting Cycle json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "workflow:trend-forecasting-cycle",
"_kind": "Workflow",
"_file": "workflows/workflows/workflows-fashion.yaml",
"_cluster": "workflows",
"attributes": {
"displayName": "Trend Forecasting Cycle",
"workflowKind": "governance",
"triggerType": "scheduled",
"typicalCadence": "quarterly",
"complexity": "cross-team",
"description": "Analyzes emerging fashion trends to inform collection planning --\naggregating signals from runway show data, social media sentiment\nanalysis, street-style image classification, search trend volumes, and\nwholesale order pattern shifts, correlating signals with historical\nsell-through performance, scoring trend longevity versus novelty risk,\nand producing directional guidance for design teams on color palettes,\nsilhouettes, fabrics, and print motifs. Produces trend reports,\nconfidence-scored mood boards, and assortment mix recommendations.\nExcludes individual garment design.\n"
},
"outgoingEdges": [
{
"from": "workflow:trend-forecasting-cycle",
"to": "role:data-scientist",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "role:product-designer",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "role:planner",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "skill-area:python-data-pipelines",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "skill-area:retrieval-augmented-generation",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "domain:fashion-apparel",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "domain:business-intelligence",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "responsibility:data-quality-monitoring",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "responsibility:ai-tooling-evaluation",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "org-unit:analytics-team",
"kind": "performed_by_org_unit",
"attributes": {}
},
{
"from": "workflow:trend-forecasting-cycle",
"to": "org-unit:product-team",
"kind": "performed_by_org_unit",
"attributes": {}
}
],
"incomingEdges": []
}