ItemConference Paper

Data-Driven Transformation of Hospitality Supply Chains Using AI-Powered Segmentation

Title
Data-Driven Transformation of Hospitality Supply Chains Using AI-Powered Segmentation
Creator
Kumar, Abhinav; Khanna, Smriti; Amajala, Sai Rithwik; Upreti, Shitiz; Radhakrishnan, G.V.; Upreti, Kamal
Description
The increasing complexity of supply chain operations in the hospitality sector demands data-driven strategies for efficient resource utilization and service delivery. This study proposes an artificial intelligence (AI)-driven framework leveraging unsupervised machine learning to uncover hidden patterns in patient-related operational data sourced from a publicly available dataset. The research applies clustering algorithmsK-Means, DBSCAN, and Agglomerative Hierarchical Clusteringto segment patient prof iles based on key variables such as length of stay, procedure type, room category, equipment usage, and staffing needs. Principal Component Analysis (PCA) was employed for dimensionality reduction and cluster visualization. The optimal number of clusters was identified using the Elbow Method, with K-Means yielding the highest silhouette score. Comparative analysis of all clustering models revealed varying strengths in noise detection, interpretability, and handling of sparse features. The results demonstrate how intelligent segmentation can support dynamic resource planning, targeted supply allocation, and improved operational responsiveness in hospital-based hospitality systems. This work contributes to the growing domain of AI-enabled supply chain analytics and of fers a practical pathway for enhancing decision-making in smart hospitality environments. 2025 IEEE.
Source
Proceedings of International Conference on Digital Innovations for Sustainable Solutions, ICDISS 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Artificial intelligence (AI); DBSCAN; Elbow Method; Principal Component Analysis (PCA)
Coverage
Kumar A., Data Scientist Turing, Palo Alto, CA, United States; Khanna S., School of Management Sciences, Apeejay Stya University, Haryana, Gurugram, India; Amajala S.R., Department of Computer Science, New York University, Tandon, New York, United States; Upreti S., Manav Rachna International Institute of Research & Studies (MRIIRS), Haryana, Faridabad, India; Radhakrishnan G.V., Department of Economics, Finance Kalinga School of Management KIIT, Bhubaneswar, India; Upreti K., Department of Computer Science, Christ University Delhi NCR, Delhi NCR, Ghaziabad, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833155641-9;
Format
online
Language
English
Type
Conference paper

Citation

Kumar, Abhinav; Khanna, Smriti; Amajala, Sai Rithwik; Upreti, Shitiz; Radhakrishnan, G.V.; Upreti, Kamal, “Data-Driven Transformation of Hospitality Supply Chains Using AI-Powered Segmentation,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25958.

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