Immersive Augmented Reality Automotive Showroom With Real-time Consumer Behavioral Analytics

• Author(s):

  S.Yogeshwaran | R.Sarathi | P.Sabivarman | V.Yashwant | N.Thamizhmozhi

• Keywords:

  Augmented Reality (AR), Consumer Behavioral Analytics, Mobile Usability, Information Architecture, AI- Powered Personalization, Digital Twins, Smart Retail, SLAM.

• Abstract:

  The Automobile Retail Industry Is In A Critical Phase Re- Garding The “usability Gap” In Its Digital Transformation. Mo- Bile Applications—while Essential For Modern Business—suffer Significantly From “Information Architecture” Flaws, Where The User Is Faced With An Overwhelming Array Of Complex Text-based Specifications. This “content Overload” Inhibits The Process Of Decision-making For High-involvement Purchases Like Vehicles. In Addition, Although Digital Platforms Excel At Transactions, They Tend To Fail In Replicating The Personal Engagement Of A Physical Showroom. To Overcome These Limitations, This Project Proposes The Concept Of An “Immersive Augmented Reality Automotive Showroom.” The Idea Centers On Utilizing Augmented Reality (AR) To Replace Static 2D Catalogs With Interactive 3D Digital Twins, Offering Users The Ability To Personally View And Cus- Tomize Vehicles In Their Physical Environment. Most Impor- Tantly, It Includes A Real-Time Behavioral Analytics Module. Recognizing “Perceived Personalization” As A Strong Predictor Of Customer Retention, The Module Measures User Interaction Metrics—such As Dwell Time And Color Preference—to Ini- Tiate Intelligent, Rule-based Recommendations. Furthermore, Advancements In Vision-based Tracking Confirm The Technical Viability Of Markerless AR For Stable Product Visualization. The Project Aligns With Future Research Directions, Combining Immersive Visualization With Data-driven Business Intelligence To Create A Next-generation Retail Ecosystem.

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Other Details

• Paper id:

  IJSARTV12I2104579

• Published in:

  Volume: 12 Issue: 2 February 2026

• Publication Date:

  2026-02-14

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