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AI-Powered Sales Forecasting for Event Catering : A Data-Driven Approach
Weijnen, Wouter (2025) AI-Powered Sales Forecasting for Event Catering : A Data-Driven Approach.
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| Abstract: | The Development of Artificial Intelligence (AI) has revolutionized many aspects of business, including sales forecasting. Accurate sales forecasting provides businesses with many benefits, such as inventory and supply management optimization, increased efficiency, decreased purchasing cost, and reduced obsolescence. A knowledge gap exists when considering AI sales forecasting in event catering. The field of event catering remains underrepresented in literature, and the possibilities for AI sales forecasting for event catering remain relatively unknown. This study focuses on exploring the possibilities of AI sales forecasting for event catering by attempting to develop an AI sales forecasting model for the catering department of a football club. This provides empirical insights into the performance, limitations, and feasibility of AI forecasting for event catering. The event catering sector typically has infrequent days of operation, which results in sparsely available data since there are limited opportunities for data collection. This results in a number of complications for the development and evaluation of AI sales forecasting models in the event catering industry. The findings and results of this paper indicate that these challenges are very relevant in the development of AI sales forecasting in this industry, but also show that AI sales forecasting is possible for event catering. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | International Business Administration BSc (50952) |
| Link to this item: | https://purl.utwente.nl/essays/106918 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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