Given inventory data of multiple (interacting) commodities from stock with limited but variable capacity, provide insight on
- estimating future required capacity for each item based on a certain terminal segment of data,
- future cost estimation for each item,
- how the trends of individual items would change, assuming a trend change at given times (in future) for some items?
- given a budged limit, how should the trends change to make sure a non-negative residual?
InventoryOptim can be obtained from https://github.com/mghasemi/inventoryoptim.
To install InventoryOptim, run the following in terminal:
sudo python setup.py install
The documentation is produced by Sphinx and is intended to cover code usage as well as a bit of theory to explain each method briefly. For more details refer to the documentation at inventoryoptim.rtfd.io.
This code is distributed under MIT license:
Copyright (c) 2019 Mehdi Ghasemi
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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