Personalized Shopping Kiosk Pathfinding and Discount Integration
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Solution Overview
Problem
Current shopping experiences in malls lack personalization and efficiency, as consumers face difficulty in navigating to desired items and accessing relevant discounts within the physical shopping environment.
Innovation Solution
A networked system comprising a shopping experience kiosk that identifies user preferences, provides a list of relevant items, determines a path between selected items, and offers discounts, allowing interaction through both kiosk and mobile devices, with the ability to display promotional codes and send coupons to retail locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a traditional information stand with static diagrams is used, then the system complexity is low, but the personalization and shopping efficiency are poor
Solution Approach 1:
The shopping experience kiosk enables shoppers to independently input their preferences, view personalized item lists, receive navigation directions, and access discount information without assistance from staff at the information stand, thereby improving shopping efficiency while maintaining manageable system complexity through automated self-service functionality
Solution Approach 2:
The system transitions from static 2D diagrams to dynamic multi-dimensional information presentation by integrating digital displays, interactive interfaces, and mobile device connectivity, allowing shoppers to access personalized shopping information, real-time pricing, and navigation data across multiple dimensions of interaction
2Loss of information
If no personalized item recommendations are provided, then the information presentation is simple, but the relevance of shopping information to user preferences is low
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing information about items, stores, pricing, and discounts in databases before shopping trips. When shoppers input their preferences at the kiosk, the system quickly retrieves and personalizes relevant information, reducing the perceived complexity for users while ensuring high relevance of the information provided
Solution Approach 2:
The system incorporates feedback mechanisms where shopper preferences are continuously refined based on their selections and interactions with the kiosk interface. This feedback loop enables the system to progressively improve the relevance of item recommendations and information presentation while managing processing complexity through iterative optimization
Data Source
AI summary
A method and a system to present a personal shopping experience are provided. A plurality of items assigned to a category inputted by a user is identified. The plurality of items is available for sale at a plurality of corresponding locations within a pre-defined geographical area. A selection of at least one item of the plurality of items, the category, or a region within the pre-defined geographical area is received from a user. A path from a first location corresponding to a first item of the plurality of items to a second location corresponding to a second item of the plurality of items is determined. The path is within the pre-defined geographical area where the system is located. Discount information for the first item and discount information for the second item are identified. A path from the first location to the second location is displayed to the user. Discount information for the first item and the second item are provided to the user.