Visual analytics for supporting manufacturers and distributors in online sales
Abstract
This article presents the basic concepts of OPTOSA, a Visual Analytics solution for the optimization of online sales, designed to support manufacturers in all phases of the online sales process from the product specification to the price fixing and more. OPTOSA combines a data processing module that builds and constantly updates operational knowledge related to sales positioning with a decision assistant that uses relevant aspects of the knowledge for helping the tasks of the different teams along the integrated chain of the sales. After reviewing the challenges of the approach, we discuss the first significant experiments with OPTOSA on some formalized use-cases.
- Citation
- BibTeX
Parisot, O., Vierke, G., Tamisier, T., Didry, Y. & Rieder, H.,
(2014).
Visual analytics for supporting manufacturers and distributors in online sales.
In:
Feltz, F., Mutschler, B. & Otjacques, B.
(Hrsg.),
Enterprise modelling and information systems architectures - EMISA 2014.
Bonn:
Gesellschaft für Informatik e.V..
(S. 133-144).
@inproceedings{mci/Parisot2014,
author = {Parisot, Olivier AND Vierke, Gero AND Tamisier, Thomas AND Didry, Yoanne AND Rieder, Helmut},
title = {Visual analytics for supporting manufacturers and distributors in online sales},
booktitle = {Enterprise modelling and information systems architectures - EMISA 2014},
year = {2014},
editor = {Feltz, Fernand AND Mutschler, Bela AND Otjacques, Benoît} ,
pages = { 133-144 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Parisot, Olivier AND Vierke, Gero AND Tamisier, Thomas AND Didry, Yoanne AND Rieder, Helmut},
title = {Visual analytics for supporting manufacturers and distributors in online sales},
booktitle = {Enterprise modelling and information systems architectures - EMISA 2014},
year = {2014},
editor = {Feltz, Fernand AND Mutschler, Bela AND Otjacques, Benoît} ,
pages = { 133-144 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-628-2
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2014
Language:
(en)

Content Type: Text/Conference Paper