Customer-centric design improves satisfaction by actively involving clients in the construction decision-making process. However, current Virtual Reality (VR) methods rely on manual processes, extensive human resources, and costly high-end hardware, restricting accessibility. This study proposes an AI-driven enhancement of customer-centric design in construction through an accessible smartphone-based VR platform integrated with an Intelligent Support System (ISS). The ISS employs an artificial neural network to predict customers\\\\\\\' preferred design styles from user-uploaded images and utilizes the TOPSIS algorithm to rank design alternatives based on customer evaluations regarding cost, time, risk, and aesthetics. Selected designs are automatically communicated to the design team. A validation case study involving 30 construction industry participants indicated a satisfaction rate of 79 %, overall approval rating of 69 %, and an 80 % match between user-selected designs and ISS recommendations. The developed AI-driven VR platform effectively improves decision-making, customer satisfaction, and accessibility of customer-centric participation in construction.

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