Navigating AI in Demand Forecasting: Assessing Current Practices and Evaluation Criteria Among Software Suppliers

Benedikt Sonnleitner, Filotas Theodosiou and Yves R Sagaert

No 758426, Working Papers of Department of Decision Sciences and Information Management, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven

Abstract: Vives is positioned on the interface between research and application. Accordingly, the forecasting team at Vives in the center of expertise for business management aims to bring relevant new research to the practice and also pick up new practical questions that are relevant for research. To do so it is vital to collaborate with (local) companies. In the SAIL project we conducted a market study on Belgian forecasting-software vendors. Based on that we outline a strategic agenda for such future collaborations by first giving an overview over the state of the art in forecasting software and then surveying the global and Belgian forecasting software enterprises. These can be assorted according to their industry, use case, and methodological focus. Out of the focus of the forecasting software companies contrasted with the amount of literature corresponding to these focus areas, we can develop a research and consulting agenda. The results of the market study are summarized in a (i) report, (ii) poster, and a (iii) presentation. The presentation can be used to help start future collaborations as it summarizes the competencies and focus of the forecasting team at Vives. The report includes an interactive map that shows the forecasting companies in Belgium.

Date: 2024-09-30
References: Add references at CitEc
Citations:

Downloads: (external link)
https://lirias.kuleuven.be/retrieve/795913 Published version (application/pdf)
KU Leuven intranet only, request a copy at https://lirias.kuleuven.be/handle/20.500.12942/758426

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ete:kbiper:758426

Access Statistics for this paper

More papers in Working Papers of Department of Decision Sciences and Information Management, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven
Bibliographic data for series maintained by library EBIB ().