Locatable Terminal for Personalized Offline Purchase Recommendations
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Solution Overview
Problem
Offline shopping at stationary points of sale is less efficient compared to online shopping due to the lack of personalized recommendations and access to purchase history and wish lists, making it more time-consuming and complex for customers.
Innovation Solution
A method that utilizes a telecommunications terminal locatable within the point of sale to recognize the customer and retrieve their purchase history and wish list data, detecting their location and interactions with products to provide personalized recommendations on a display device, enhancing the shopping experience and sales optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If offline shopping is conducted in a stationary point of sale, then the customer can physically examine and interact with products, but the shopping process is more time-consuming and lacks personalized recommendations
Solution Approach 1:
The system performs preliminary actions by retrieving purchase history and wish list data before the customer enters the store. The location system identifies the customer upon entry, and the system proactively loads relevant product information and recommendations into the terminal device, so that when the customer browses products, personalized recommendations are already ready and displayed, eliminating the need for time-consuming manual search and product information gathering.
Solution Approach 2:
The patent introduces a telecommunications terminal device as an intermediary between the customer and the point of sale system. This terminal acts as a mediator that stores and displays personalized product information, purchase history, and wish lists locally, while also communicating with the location system and point of sale database. This intermediary enables offline shopping to benefit from online-like personalized experiences without requiring the customer to manually interact with complex systems.
2Ease of operation
If personalized recommendations are provided in offline shopping, then the shopping experience is improved, but the system complexity increases
Solution Approach 1:
The system implements self-service by automatically retrieving and displaying personalized recommendations based on the customer's identity. When the location system identifies the customer upon entry, the system automatically queries the database for purchase history and wish list data, and the terminal device automatically displays relevant product information and recommendations. This automated self-service process eliminates the need for manual configuration or complex user interaction to personalize the shopping experience.
Solution Approach 2:
The patent uses copying by storing copies of the customer's purchase history, wish lists, and product information locally in the terminal device. Instead of requiring real-time complex computations or continuous database connections, the system creates local copies of relevant data that can be quickly accessed and displayed. This copying approach simplifies the system architecture by reducing the need for constant complex data retrieval and processing operations.
3Productivity
If access to purchase history and wish lists is provided in offline shopping, then the shopping process becomes more efficient, but data privacy concerns increase
Solution Approach 1:
The system applies segmentation by dividing data storage into separate segments: the point of sale system stores master customer profiles and purchase history in its database, while the terminal device stores only the necessary personalized information locally for display purposes. This segmentation limits the amount of sensitive data that needs to be transmitted and stored, reducing privacy risks while maintaining shopping efficiency.
Solution Approach 2:
The system performs preliminary data retrieval and processing before the customer enters the store. By pre-loading personalized product information and recommendations into the terminal device, the system minimizes the amount of data that needs to be actively transmitted and processed during the shopping transaction. This preliminary action reduces the window of time and data volume at risk, thereby mitigating privacy concerns while maintaining efficiency.
Data Source
Figure 1
AI summary
A method is described for supporting an offline purchase by a person in or at a physical point of sale, wherein the person carries a telecommunications terminal device, wherein the telecommunications terminal device is locatable within the premises of the point of sale by means of a tracking system, wherein the person is assigned purchase history data and/or wish list data from one or more online purchases or online retailers and height data, and these data are authorized for use at the point of sale, wherein the method comprises the following steps: -- in a first step, the telecommunications terminal device is detected upon entry to or in the vicinity of the physical point of sale, and the purchase history data and/or wish list data are available; -- in a second step following the first step, the device is detected.where the person is located within the stationary point of sale and/or which goods they take from a display of the point of sale and/or which goods are taken for them and/or near which goods the person lingers, -- in a third step following the second step, individual recommendation information is displayed on a display device assigned to the person, at least temporarily.