Sensor Network for Retail Location Sensing and Checkout
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Solution Overview
Problem
Retail stores face significant sales losses due to long checkout lines, out-of-stock items, and the convenience of online shopping, which can deter customers from making spur-of-the-moment purchases.
Innovation Solution
Implementing a system that uses sensors and processors to assist customers in locating and purchasing merchandise items within the store, allowing for selection and payment without queuing, and enabling delivery to any desired address, while also managing inventory across multiple locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional checkout processes are used, then customers can purchase merchandise items, but long waiting times result in lost sales
Solution Approach 1:
The system performs preliminary actions by automatically detecting merchandise items in the customer's possession through sensors and pre-processing the checkout information before the customer reaches the traditional checkout point. This eliminates the need for customers to wait in line, as the system has already identified and prepared the purchase information in advance.
Solution Approach 2:
The system enables self-service by allowing customers to shop without traditional checkout assistance. Sensors automatically detect items taken from shelves and track them in virtual shopping carts, eliminating the need for customers to manually queue or interact with checkout personnel, thus reducing waiting time while maintaining purchase functionality.
2Reliability
If manual inventory checking is performed, then stock levels can be monitored, but sales are lost when items are out of stock at the visited store
Solution Approach 1:
The system implements continuous feedback by using sensors to automatically monitor inventory levels in real-time as items are placed on shelves or removed. This real-time data feeds into the network system, which can immediately check other store locations for available stock and notify customers, ensuring accurate inventory information is always available to prevent lost sales.
Solution Approach 2:
The system provides multi-functionality by serving both as an inventory management tool and a cross-store purchasing system. The same sensor network that tracks items for checkout also monitors overall stock levels across multiple locations, enabling the system to fulfill both inventory accuracy and sales conversion functions through a unified platform.
3Ease of operation
If online shopping is offered, then customers gain convenience of home delivery, but brick-and-mortar store sales decrease
Solution Approach 1:
The system merges the advantages of both online and offline shopping by combining the convenience of automated detection and home delivery with the tangible experience of browsing physical merchandise in-store. Customers can physically examine items in the store, then complete purchases through the automated system with home delivery, thus maintaining store foot traffic while providing online-shopping-level convenience.
4Measurement precision
If traditional sensor systems are deployed, then customer location can be tracked, but system complexity increases
Solution Approach 1:
The system uses the customer's mobile device as an intermediary to simplify the sensor network. Instead of requiring a complex centralized system to track all sensors and customers, the mobile device receives signals from multiple sensors and performs the triangulation calculations locally, reducing the complexity of the overall system while maintaining precise location tracking capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enhances customer convenience, reduces sales losses by facilitating impulse purchases, and optimizes inventory management, potentially increasing retail sales by providing a hassle-free shopping experience.
Implementation Method 1
determining, using a sensor, a location of a customer device in the store
Data Source
AI summary
Systems and methods are provided for assisting a customer with purchasing a merchandise item in a store. Assisting the customer may include determining a location of a customer (i.e., customer device) in the store, identifying merchandise items located adjacent to the customer, receiving selection of a merchandise item for purchase from the identified merchandise items, receiving payment authorization information for the purchase, and initiating delivery of the merchandise item to the customer. Additionally, systems and methods are provided for inventory management in a store. Consistent with certain embodiments, computer-implemented systems and methods are provided for selecting a sensor, receiving a sensor identifier and a position of the sensor, receiving merchandise identifiers for merchandise items located near the sensor, and storing the merchandise identifiers in association with the sensor identifier. Additionally, systems and methods are provided for providing directions to a customer for locating a selected merchandise item in the store.