Skip to main content

inventory analytics,revenue management and cost calculations for SKUs

Project description

Package: inventorize Title: Inventory Analytics,Markdowns and Pricing. Version: 1.2.6 Authors person("Haytham", "Omar", email = "haytham@rescaleanalytics.com", role = c("aut", "cre")) Description: Simulate inventory policies, facilitate inventory analysis calculations such as stock levels and re-order points,pricing and promotions calculations. The package includes calculations of inventory metrics, stock-out calculations and ABC analysis calculations. The package includes revenue management techniques such as Multi-product optimization,logit model optimization. The functions are referenced from : 1-Harris, Ford W. (1913). "How many parts to make at once". Factory, The Magazine of Management. <isbn10: 135–136, 152>. 2- Nahmias, S. Production and Operations Analysis. McGraw-Hill International Edition. <isbn: 0-07- 2231265-3. Chapter 4>. 3-Silver, E.A., Pyke, D.F., Peterson, R. Inventory Management and Production Planning and Scheduling. <isbn: 978-0471119470>. 4-Ballou, R.H. Business Logistics Management. <isbn: 978-0130661845>. Chapter 9. 5-MIT Micromasters Program. 6- Columbia University course for supply and demand analysis. 8- Price Elasticity of Demand MATH 104,Mark Mac Lean (with assistance from Patrick Chan) 2011W For further details or correspondence :<www.linkedin.com/in/haythamomar>, <www.rescaleanalytics.com>.

Change Log

1.2.6 (29/11/2025) Some bug fixes

1.2.3 (26/08/2023) Some bug fixes

1.2.1 (23/08/2023)

  • second Release 1- R.s.S inventory policy is added. 2- Max policy is added (different than Min Max) 2- you can compare forecasting impact on inventory not just relying on the average. 3- the forecasts can be one step like exponential smoothing/croston or multi-steps like machine learning models or seasonal arimas. 4- the plots are automatically added with a TRUE or FALSE arguments. 5- polynomial price optimization is added with the current linear and logit. 6- the markdown model for seasonal merchandizing from (walker 1999) is added to identify the viability and the percentage of the markdown. 7- In static policies, you can can recalculate the min and the max during the simulation horizon. Also user can manually define the min, max, quantity, saftey stock if required.

8- the classification of the demand is added as an output. 9- average flow time is added which is how much time on average a unit stays in stock. 10- initial inventory level can be set manually. 11- also because many have asked the ABC thresholds can be changed and up to two attributes can be added in the function abc_dynamic(). 12- negative binomial and gamme distributions are added 13- comparing distributions of demand.

0.0.8 (29/08/2020)

  • first Release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inventorize-1.2.6.tar.gz (33.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

inventorize-1.2.6-py3-none-any.whl (31.9 kB view details)

Uploaded Python 3

File details

Details for the file inventorize-1.2.6.tar.gz.

File metadata

  • Download URL: inventorize-1.2.6.tar.gz
  • Upload date:
  • Size: 33.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for inventorize-1.2.6.tar.gz
Algorithm Hash digest
SHA256 1c19ca9fe71404ebc4c8a406b89cd651cdc2700dd8395d66a1c03318e76c964b
MD5 a2101ff3bc1b234f43f917d00d8ef713
BLAKE2b-256 bfd11292b6a61dfd6d6de70040e432f793e34915335a0447c118dbb4b585460c

See more details on using hashes here.

File details

Details for the file inventorize-1.2.6-py3-none-any.whl.

File metadata

  • Download URL: inventorize-1.2.6-py3-none-any.whl
  • Upload date:
  • Size: 31.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for inventorize-1.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 166b9ca2e9eff81198c62f0067fb9add5b811ccd9e3bc5c67605c546de61acd5
MD5 3f7670caf417aff36adfdbcccefff56c
BLAKE2b-256 a8f1615338432fd10fc09c5a6d615889f0c56d828fbd9e68e30d06b8fb1c0818

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page