18437882. Intelligent Dealership Recommendation Engine simplified abstract (Capital One Services, LLC)
Contents
Intelligent Dealership Recommendation Engine
Organization Name
Inventor(s)
Micah Price of The Colony TX (US)
Qiaochu Tang of Frisco TX (US)
Geoffrey Dagley of McKinney TX (US)
Avid Ghamsari of Carrollton TX (US)
Intelligent Dealership Recommendation Engine - A simplified explanation of the abstract
This abstract first appeared for US patent application 18437882 titled 'Intelligent Dealership Recommendation Engine
- Simplified Explanation:**
This patent application describes a system that helps dealerships recommend vehicles to customers based on their preferences and dealership information.
- Key Features and Innovation:**
- Interface and search functionality for dealerships to determine customer vehicle preferences.
- Recommender system generates vehicle recommendations based on customer, vehicle, and dealership information.
- Machine learning used to generate personalized recommendations.
- Recommendations based on customer vehicle preferences.
- Potential Applications:**
This technology can be applied in various industries such as automotive, retail, and e-commerce to provide personalized recommendations to customers.
- Problems Solved:**
This technology addresses the challenge of matching customers with the most suitable vehicles based on their preferences and dealership inventory.
- Benefits:**
- Improved customer satisfaction by offering personalized vehicle recommendations.
- Increased sales for dealerships by matching customers with vehicles they are likely to purchase.
- Enhanced user experience through a tailored recommendation system.
- Commercial Applications:**
The technology can be utilized by automotive dealerships, online car marketplaces, and retail stores to enhance customer experience and drive sales.
- Prior Art:**
There is existing technology in the field of recommendation systems and machine learning for personalized recommendations, but this specific application focuses on vehicle recommendations in a dealership setting.
- Frequently Updated Research:**
Ongoing research in machine learning algorithms and customer behavior analysis may further enhance the effectiveness of this technology in providing accurate vehicle recommendations.
- Questions about Vehicle Recommendation System:**
1. How does the system gather customer information to generate personalized vehicle recommendations? 2. What factors are considered in the machine learning algorithm to determine the most suitable vehicles for customers?
Original Abstract Submitted
Aspects described herein may provide an interface and/or search functionality for a dealership to determine vehicles a customer is most likely to purchase. A recommender system may generate vehicle recommendations for a dealership to sell to a customer based on customer information, vehicle information, and dealership information. Machine learning may be used to generate the recommendations. The recommendations may be based on the vehicle preferences of a customer.
