Journal of Advances in Developmental Research

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Using Customer Purchase History to Recommend Product Bundles: Increasing Average Order Size in Hospitality Supply Chains

Author(s) Kishan Patel
Country United States
Abstract In the hospitality industry, suppliers can create curated product bundles that encourage customers to spend more money on average each order. This study investigates the ways in which the analysis of cus-tomer purchase history allows suppliers to accomplish this goal. Suppliers can ensure that their products are in line with refurbishment cycles, seasonal trends, and regional preferences by using analytics that are driven by data. We are providing actual conclusions that have been obtained from data collected from motel customers, which have been bolstered by state-of-the-art recommender models. According to the findings, there have been quantifiable improvements in average order value (AOV), adoption rates, and repeat purchases. These improvements have ramifications for both theory and practice.
Keywords Hospitality supply chain, product bundling, customer purchase history, recommender sys-tems, predictive analytics, motel procurement, demand forecasting, average order value (AOV), seasonal purchasing patterns, B2B marketing, data-driven decision making.
Field Engineering
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-01-28
Cite This Using Customer Purchase History to Recommend Product Bundles: Increasing Average Order Size in Hospitality Supply Chains - Kishan Patel - IJAIDR Volume 17, Issue 1, January-June 2026. DOI 10.71097/IJAIDR.v17.i1.1679
DOI https://doi.org/10.71097/IJAIDR.v17.i1.1679
Short DOI https://doi.org/hbm79t
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