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Abstract

International Journal of Trends in Emerging Research and Development, 2024;2(6):01-05

The Impact of Artificial Intelligence on Commercial Interior Design: Enhancing Functionality, Aesthetics, and User Experience

Author : Monica GR and Dr. Nischay N Gowda

Abstract

Artificial Intelligence (AI) significantly influences the design of commercial spaces by shifting the way designers approach layout, functionality, aesthetics, and user experience. Artificial Intelligence in commercial places refers to creating environments that capture attention, spark curiosity, and encourage engagement-whether that's through retail, office spaces, hospitality, or other types of commercial environments.

AI algorithms analyze data on customer demographics, behaviors, and preferences to create spaces that enhance the overall experience. For example, AI can help design retail stores by optimizing layouts for better flow and showcasing products that align with the target audience's preferences.

AI can gather and analyze extensive data, such as foot traffic patterns, lighting preferences, and acoustics, to optimize a commercial space. This helps designers make informed decisions on layout, furniture, and material choices, creating a more functional and appealing environment.

AI algorithms can generate multiple layout options based on spatial requirements, occupancy, and functionality. This is particularly valuable for co-working spaces, offices, and hotels, where efficient space utilization and flexibility are essential.

AI is revolutionizing interior design for commercial spaces by introducing a more data-driven, efficient, and customized approach. Designers can harness AI to optimize layouts, enhance user experiences, predict trends, and reduce costs. As AI technology continues to advance, we can expect even more seamless integration of intelligent systems in commercial spaces that not only improve aesthetic appeal but also provide functional, sustainable, and engaging environments for both businesses and their clients or employees.

Keywords

Customized Design, Optimized Layouts, Sustainability, Automated task management, Augmented customer experience