iiRecord
Agentic AI Atlas · Trend Forecasting Cycle
workflow:trend-forecasting-cyclea5c.ai
II.
Workflow JSON

workflow:trend-forecasting-cycle

Structured · live

Trend Forecasting Cycle json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · workflows/workflows/workflows-fashion.yamlCluster · workflows
Record JSON
{
  "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": []
}