Abstract
This paper presents an innovative model, the Productivity Twin, a digital twin of the productivity process that can significantly enhance productivity measurement and help in decision making process for all stakeholders. In this paper, we focus on the application of this model in the retail industry where the model uses data collected from retail outlets, incorporates sophisticated data analysis techniques and AI algorithms to develop bespoke insights from the data to enhance the overall productivity of a company and its processes. A case study from a leading productivity consulting firm in the UK is used for validation.
Original language | English |
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Title of host publication | The 2024 International Conference on Decision Aid Sciences and Applications (DASA'24) |
Publisher | IEEE Computer Society |
Publication status | Accepted for publication - 23 Nov 2024 |
Event | 2024 International Conference on Decision Aid Sciences and Applications: DASA'24 - , Bahrain Duration: 11 Dec 2024 → 12 Dec 2024 |
Conference
Conference | 2024 International Conference on Decision Aid Sciences and Applications |
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Country/Territory | Bahrain |
Period | 11/12/24 → 12/12/24 |
Keywords
- Productivity
- Digital Twin
- Artificial intelligence
- Retail industry