# first-scan-otif

> first-scan-otif — smartofficialintelligence-first-scan-otif. Use this tool when you need to assess the risk of missing first-scan promises in order to optimize on-time and in-full (OTIF) delivery performance. It solves problems related to supply chain reliability and logistics by providing calibrated scores based on public Olist data and isotonic XGBoost models. The tool takes in relevant data and outputs risk scores, which can be used to inform business decisions and improve overall delivery efficiency.

Canonical page: https://skillsregistry.net/skills/smartofficialintelligence-first-scan-otif  
JSON: https://api.skillsregistry.net/v1/skills/smartofficialintelligence-first-scan-otif

## Description

Calibrated GBT (isotonic XGBoost) scores first-scan promise-miss risk on public Olist data. Exception handling policy; LangGraph/MCP agent executes it in simulation. Judged on business impact (actions, OTIF, spend), not intermediate model performance. Production: Cloud Run, Feast, MLflow, canary, monitoring, human-gated promote.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/smartofficialintelligence/first-scan-otif)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "smartofficialintelligence-first-scan-otif"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smartofficialintelligence-first-scan-otif` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smartofficialintelligence-first-scan-otif/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt