Personalized Shopping Network for Predictive Autonomous Purchasing
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Solution Overview
Problem
Users face inconveniences in purchasing common household items due to the need for physical visits to merchants, inefficiencies in online shopping, high costs of personal shoppers, and limitations in accessing restricted items, such as prescriptions.
Innovation Solution
A network of personalized devices that utilize personality and purchase information to predict and autonomously purchase items on behalf of users, including authentication and delivery, using short-range wireless communication and Internet of Things data integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users visit physical merchant locations to purchase items, then they can obtain items immediately, but they face inconvenience and time loss due to travel and physical visits
Solution Approach 1:
The system enables autonomous self-service shopping where the personalized device automatically monitors inventory, predicts purchase needs based on personality traits, and executes purchases without user intervention. The device serves itself by managing the entire shopping process from detection to completion, eliminating the need for user travel and physical merchant visits.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring inventory levels and predicting future purchase needs before the user actually needs the items. The personalized device anticipates purchase requirements based on personality traits and automatically procures items in advance, so items are ready when needed without requiring user initiation or travel.
2Ease of operation
If users shop online, then they avoid physical travel, but they still need to actively visit merchant websites and know what to purchase
Solution Approach 1:
The personalized device performs autonomous self-service by automatically monitoring inventory, predicting purchase needs, and executing online purchases without requiring user visits to merchant websites. The system handles the entire shopping process autonomously, eliminating both travel time and active online shopping time.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring and predicting purchase needs before users need to actively shop. The device anticipates what items will be needed based on personality traits and inventory levels, and automatically initiates purchases in advance, eliminating the need for users to know what to purchase or when to shop.
3Adaptability or versatility
If users hire personal shoppers, then they receive personalized service, but they incur high costs and risk incorrect purchases due to shopper personality imprints
Solution Approach 1:
The system replaces expensive human personal shoppers with an autonomous personalized device that performs self-service shopping. The device uses the user's personality traits to make purchasing decisions, eliminating the need for human intermediaries and associated costs while maintaining personalization through algorithmic analysis of user preferences and behavior patterns.
Solution Approach 2:
The system creates a digital copy of the user's personality traits and shopping preferences that resides in the personalized device. This digital copy enables autonomous decision-making that reflects the user's true preferences without being influenced by a personal shopper's own personality, providing accurate personalization at minimal cost.
4Adaptability or versatility
If personal shoppers are used to purchase restricted items, then some items can be obtained, but they lack authority to access certain restricted items like prescriptions
Solution Approach 1:
The personalized device performs self-service shopping with direct user authorization, eliminating the need for personal shoppers who lack authority. The system uses the user's own authentication credentials to access restricted items, ensuring proper authorization while maintaining the ability to purchase a wide range of items including prescriptions and other restricted goods.
Data Source
AI summary
There are provided systems and methods for a network of personalized devices determining data for shopping predictions. A personalized device may include processing components for determining purchase predictions for one or more items to purchase on behalf of a user. The purchase predictions may be based on personality traits and other information that may indicate interests of the user. The purchase predictions may also be based on purchase information for the item, including inventory of the item, price of the item, availability of the item to the user, or other factor. Once the purchase prediction is determined, the personalized device may generate a purchase request for the item from a merchant having the item at a physical merchant location accessible to the personalized device or a delivery device associated with the personalized device. The personalized device may retrieve and deliver the purchased item.