SupplyMind AI Copilot
supplymind.tech
AI agent for SupplyMind, the AI-powered demand forecasting and inventory optimization platform. Answers grounded questions over ingested product/forecast knowledge, generates demand forecasts with reasoning, runs inventory optimization and ABC/XYZ analysis, and produces executive AI insights. All capabilities require a SupplyMind account token (see https://supplymind.tech/.well-known/auth.md).
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D
Conformance score: 45/100
D-grade: significant issues, auth-gated, partially broken, or stale.
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Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-08-05 17:30:17 current | 55c810060c47… |
view → |
Endpoints
| Agent card | https://supplymind.tech/.well-known/agent-card.json |
Skills · 4 declared · mapped to canonical taxonomy
Answer questions about products, forecasting, and platform operations using RAG over the ingested knowledge base.
Generate demand forecasts and step-by-step reasoning for individual SKUs or the whole catalog.
Optimize reorder points and safety stock, run ABC/XYZ analysis, and propose purchase orders.
Produce executive summaries and AI-generated insights from sales, forecast, and inventory data.
Health · last 21 probes
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Raw agent card JSON
{
"name": "SupplyMind AI Copilot",
"description": "AI agent for SupplyMind, the AI-powered demand forecasting and inventory optimization platform. Answers grounded questions over ingested product/forecast knowledge, generates demand forecasts with reasoning, runs inventory optimization and ABC/XYZ analysis, and produces executive AI insights. All capabilities require a SupplyMind account token (see https://supplymind.tech/.well-known/auth.md).",
"url": "https://supplymind.tech",
"version": "0.1.0",
"protocolVersion": "0.2.0",
"authentication": {
"schemes": [
{
"type": "bearer"
}
],
"credentials": "https://supplymind.tech/.well-known/auth.md"
},
"capabilities": {
"streaming": true,
"pushNotifications": false,
"stateTransitionHistory": false
},
"defaultInputModes": [
"text"
],
"defaultOutputModes": [
"text"
],
"skills": [
{
"id": "rag-query",
"name": "Grounded knowledge Q&A",
"description": "Answer questions about products, forecasting, and platform operations using RAG over the ingested knowledge base.",
"tags": [
"rag",
"knowledge",
"qa",
"retrieval"
],
"examples": [
"How do we compute safety stock?",
"Summarize what the platform guide says about reorder points."
]
},
{
"id": "forecast",
"name": "Demand forecasting",
"description": "Generate demand forecasts and step-by-step reasoning for individual SKUs or the whole catalog.",
"tags": [
"forecast",
"ml",
"demand",
"time-series"
],
"examples": [
"Forecast demand for SKU-1001 for the next 4 weeks.",
"What drives the expected spike in March?"
]
},
{
"id": "inventory-optimization",
"name": "Inventory optimization",
"description": "Optimize reorder points and safety stock, run ABC/XYZ analysis, and propose purchase orders.",
"tags": [
"inventory",
"optimization",
"abc",
"xyz",
"purchase-orders"
],
"examples": [
"Optimize inventory levels for the top 10 SKUs.",
"Which SKUs are high value but volatile?"
]
},
{
"id": "executive-insights",
"name": "Executive AI insights",
"description": "Produce executive summaries and AI-generated insights from sales, forecast, and inventory data.",
"tags": [
"insights",
"analytics",
"ai",
"summary"
],
"examples": [
"Give me this month's executive summary.",
"What are the top risks in our inventory right now?"
]
}
]
}