General skillSupport and operations

supply-chain-forecast-diagnosis

Diagnose supply-chain forecast accuracy and produce a prioritized action list

Stars
1
Forks
0
License
Custom / other
Updated
Updated May 8, 2026

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Project overview

Supply Chain Forecast Diagnosis analyzes CSV or Excel data containing SKU, date, forecast quantity, and actual quantity. It validates the input, calculates operational and demand-only WMAPE, forecast variance, and planner Forecast Value Add when available, then segments items with ABC and ADI/CV² patterns. The generated workbook includes executive findings, coverage checks, charts, SKU and location detail, and prioritized actions. It does not infer safety stock, reorder points, or stockouts without inventory, lead-time, and service-level data.

Repository facts

Primary language
Python
License
Custom / other
Repository updated
May 8, 2026
Default branch
main

Resource types

General skill

Use cases

Support and operations

Platforms

Claude Code, Codex, and more

Capabilities

Data visualizationVerification and evals

Audience

Operations teams

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