Ubuntu
tryton-modules-stock-forecast package

tryton-modules-stock-forecast 4.6.0-1 source package in Ubuntu

Changelog

tryton-modules-stock-forecast (4.6.0-1) unstable; urgency=medium

  * Bump the Standards-Version to 4.1.1, no changes needed.
  * Merging upstream version 4.6.0.
  * Use https in the watch file.

 -- Mathias Behrle <email address hidden>  Tue, 07 Nov 2017 10:20:35 +0100

Upload details

Uploaded by:
Debian Tryton Maintainers
Uploaded to:
Sid
Original maintainer:
Debian Tryton Maintainers
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release universe python

Builds

Bionic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
tryton-modules-stock-forecast_4.6.0-1.dsc 2.5 KiB 434b34bf85e4ad1b3ed29c7714a9ff20b231840cb2ee9e054f0594474830b636
tryton-modules-stock-forecast_4.6.0.orig.tar.gz 37.3 KiB 4c9a62ac804a71e6e4be0cfb00cdf6b0fd1d023a7f08b23392f41c1a164f9160
tryton-modules-stock-forecast_4.6.0.orig.tar.gz.asc 376 bytes 65ac1035420b06e9dae51f53205cd9f665b1b755677cf212e1694783341eb444
tryton-modules-stock-forecast_4.6.0-1.debian.tar.xz 32.0 KiB 2121894299bde132033d6320b973b768a2be7d2c973cce01ef3b5eeaf8361c89

Available diffs

No changes file available.

Binary packages built by this source

tryton-modules-stock-forecast: Tryton Application Platform (Stock Forecast Module)

 Tryton is a high-level general purpose application platform. It is the base
 of a complete business solution as well as a comprehensive health and hospital
 information system (GNUHealth).
 .
 This package contains the module for the "Forecast" model in Inventory
 Management.
 .
 The Forecast form allows one to define the expected stock movement towards
 customers in any period of time in the future. A wizard allows one to compute
 the expected quantities with respect to a period in the past. Once the form has
 been confirmed, the corresponding moves are created and spread homogeneously
 across the period. Those moves will allow other processes to take forecasts
 into account.