Vehicle Inventory Alerts Using Predictive Matching and Feedback
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Solution Overview
Problem
The process of purchasing a vehicle involves navigating a large variety of options and features, requiring users to manually monitor and analyze extensive information, which can be cumbersome, and vehicle dealers struggle to notify potential purchasers with tailored and up-to-date information based on individual user interests.
Innovation Solution
A system and method that includes a user device with an interface to receive vehicle selection criteria, a data storage server with inventory data, and an application that alerts users to changes in inventory data matching their criteria, using predictive modeling to offer pre-approved credit and facilitate vehicle selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually monitor numerous vehicle options and features to understand valuation and deals, then users can make informed purchasing decisions, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system enables self-service by automatically monitoring vehicle inventory and notifying users of changes without requiring manual checking. The notification system serves itself by continuously tracking inventory data and autonomously alerting users when their selected vehicles experience status changes, eliminating the need for users to repeatedly query multiple dealers.
Solution Approach 2:
The system implements feedback by establishing a continuous monitoring loop that tracks vehicle inventory status and provides real-time notifications to users. When a vehicle's status changes (e.g., price adjustment, availability update), the system immediately feeds this information back to the user through automated notifications, ensuring users receive timely updates without manual intervention.
2Ease of operation
If vehicle dealers attempt to notify potential purchasers of inventory changes, then communication between dealers and buyers is established, but notifications are based on outdated or insufficient information and are not tailored to individual user interests
Solution Approach 1:
The system performs preliminary action by requiring users to pre-specify their vehicle selection criteria and interests before monitoring begins. Users define their desired vehicle attributes, price ranges, and specific interests in advance, allowing the system to tailor notifications to individual preferences before any inventory changes occur, ensuring accurate and relevant communication.
Solution Approach 2:
The system applies local quality by customizing notifications based on each user's specific interests and selected criteria rather than providing generic dealer notifications. The notification content, frequency, and relevance are locally adapted to individual user profiles, ensuring that each user receives precisely the information they care about without receiving unrelated or outdated generic announcements.
Data Source
AI summary
Embodiments of the present disclosure provide systems, methods, and devices for utilizing an application to alert a user to detected changes to inventory data. Example embodiments relate to a predictive model and development of a predictive model using machine learning techniques. Example embodiments of systems and methods may utilize web-based applications and plug-ins, extensions, or add-ons thereof for facilitating communication and presenting dynamic information to a user.