Smart Shopping Cart with Indoor Positioning for Personalized Content Delivery
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Solution Overview
Problem
Traditional shopping carts in retail stores offer limited functionality, leading to a fragmented and inefficient shopping experience, and there is a need for innovative solutions to enhance the in-store experience amidst increasing competition from e-commerce platforms.
Innovation Solution
The integration of smart shopping carts equipped with technology such as display screens and indoor positioning systems, which allow for the selection and presentation of content based on customer journey data, enabling personalized interactions and actions during the shopping process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional shopping carts are used, then the device complexity is low, but the functionality and shopping experience are limited and fragmented
Solution Approach 1:
The shopping cart is transformed into a multi-functional device by integrating display screens, indoor positioning systems, and content delivery capabilities. The cart serves not only as a traditional carrier but also as an information display terminal, navigation assistant, and personalized content delivery system, thereby resolving the contradiction between enhanced functionality and device complexity.
2Adaptability or versatility
If smart shopping carts with display screens and positioning systems are integrated, then personalized content delivery is enabled, but the device complexity increases
Solution Approach 1:
Customer journey data is collected and analyzed in advance to determine personalized content preferences and shopping behavior patterns. This preliminary action enables the system to automatically select and deliver relevant content without requiring complex real-time processing, thus reducing the operational complexity while maintaining personalization capabilities.
Solution Approach 2:
A content management system acts as an intermediary between the customer journey data, content providers, and the shopping cart display. This mediator processes data, selects appropriate content, and delivers it to the cart, simplifying the architecture by centralizing the decision-making logic and reducing the complexity at the cart level.
3Ease of operation
If customer journey data is analyzed in real-time, then personalized actions can be initiated, but the processing time and system complexity increase
Solution Approach 1:
Customer journey data is continuously collected and pre-processed during the shopping trip, with key metrics and preferences identified in advance. This allows the system to quickly retrieve and act on pre-analyzed data when needed, minimizing real-time processing delays while maintaining personalized interaction capabilities.
Solution Approach 2:
The system automatically analyzes customer journey data and initiates personalized actions without requiring manual intervention or complex real-time processing. The cart system self-manages content selection and delivery based on pre-established criteria and real-time location data, reducing both processing time and system complexity.
Data Source
AI summary
Systems, methods and non-transitory computer readable media for initiating actions based on an ongoing customer journey are provided. Customer journey data associated with an ongoing customer journey may be received. The ongoing customer journey may involve an individual and a device associated with the individual in a retail store, such as a shopping cart. The customer journey data may indicate a trajectory of the device in the retail store generated based on data captured using an indoor positioning instrument associated with the device. While the ongoing customer journey is in progress, the customer journey data may be analyzed to determine information associated with the individual. The information associated with the individual may be used to select an action associated with the individual. A digital signal configured to initiate the selected action may be generated.