Genpark Demand Forecasting Skill
БесплатноНе проверенGenPark AI Skill - Forecast product demand using historical sales, seasonality decomposition, and trend detection with reorder recommendations
Описание
GenPark AI Skill - Forecast product demand using historical sales, seasonality decomposition, and trend detection with reorder recommendations
README
GenPark AI Agent Skill -- Forecast product demand using historical sales, seasonality decomposition, and trend detection.
Features
- Exponential smoothing baseline forecast
- Linear trend detection (growing / stable / declining)
- Multiplicative seasonality index decomposition
- 80%/120% confidence interval bounds
- Safety stock calculation with lead time adjustment
- Reorder point and suggested order quantity
Quick Start
from client import DemandForecastingClient
client = DemandForecastingClient()
result = client.forecast(
sales_history=[{"period": "Jan", "units_sold": 120}, {"period": "Feb", "units_sold": 135}],
forecast_periods=6,
lead_time_periods=2,
)
print(result["trend"], result["reorder_recommendation"])
Installation
python example_usage.py # No external dependencies
Built by GenPark | alphaparkinc
from github.com/alphaparkinc/genpark-demand-forecasting-skill
Установка Genpark Demand Forecasting Skill
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/alphaparkinc/genpark-demand-forecasting-skillFAQ
Genpark Demand Forecasting Skill MCP бесплатный?
Да, Genpark Demand Forecasting Skill MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Genpark Demand Forecasting Skill?
Нет, Genpark Demand Forecasting Skill работает без API-ключей и переменных окружения.
Genpark Demand Forecasting Skill — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Genpark Demand Forecasting Skill в Claude Desktop, Claude Code или Cursor?
Открой Genpark Demand Forecasting Skill на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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