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forecastability analysis

Project description

Forecastability Analysis

This is a tool to implement forecastability analysis, including calculating:

  • Frequency
  • Stability
  • Periodicity
  • Percent of Products that single customer occupies over 50% demands

Input Data

columname type note
date string yyyy-mm-dd or yyyy/mm/dd
sku_code string code of SKU
customer_code string code of customer
qty float demand quantity

Usage:

import forecastability
fa = forecastability.Forecastability(data, tm="date")
# calculate frequency
fa.frequency()
# calculate stability
fa.stability()
# calculate periodicity
fa.periodicity()
# calculate single customer percent
fa.single_customer_percent()
# render forecastability report 
fa.render("forecastability_report.html")

Reference:

[1] 时间周期序列周期性挖掘

[2] 供应链三道防线:需求预测,库存计划,供应链执行

[3] Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.

Project details


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forecastability-0.0.6.tar.gz (7.3 kB view hashes)

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