Augmented Reality Sales Assistance Tracking
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Solution Overview
Problem
In large retail stores, consumers face challenges in finding knowledgeable sales assistance, leading to frustration and potential loss of sales, as employees may not be familiar with specific items, causing consumers to seek assistance elsewhere or abandon purchases.
Innovation Solution
A consumer assistance system using augmented reality devices to connect consumers with remote sales assistants, enabling real-time video and audio communication, and tracking the effectiveness of sales interactions to improve customer service and product knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a consumer searches for a store employee to assist with a purchasing decision, then the consumer can receive sales assistance, but the consumer spends time looking for help and may become frustrated
Solution Approach 1:
The consumer uses the augmented reality device to independently initiate a help request by pointing it at a product, eliminating the need to search for an employee. The system automatically connects the consumer with appropriate sales assistance through the wearable device's communication capabilities.
Solution Approach 2:
The augmented reality device serves as an intermediary between the consumer and store employees. The device captures the consumer's field of view, identifies products of interest, and automatically establishes communication channels with knowledgeable employees, bridging the gap without requiring direct consumer search.
2Ease of operation
If a consumer finds a store employee, then the consumer can receive sales assistance, but the employee may not be knowledgeable about the particular item of interest
Solution Approach 1:
The system provides feedback by analyzing the consumer's field of view to identify specific products of interest, then matches these products with employees who have demonstrated knowledge about them. This feedback loop ensures consumers are connected with the right expertise rather than random employees.
Solution Approach 2:
The system performs preliminary matching of consumers with knowledgeable employees based on product expertise databases before the interaction begins. Employee profiles and product knowledge databases are pre-prepared to enable immediate connection with the most suitable assistant.
3Measurement precision
If the system tracks interaction outcomes by comparing purchased items with assisted items, then the effectiveness of sales assistance can be measured, but additional data processing complexity is introduced
Solution Approach 1:
The augmented reality device and backend system perform multiple functions: they provide real-time sales assistance, track interaction outcomes, analyze purchasing behavior, and generate training insights. This multi-functionality consolidates what would otherwise require separate systems into a unified platform.
Solution Approach 2:
The system automatically compares purchased items with assisted items and generates effectiveness metrics without requiring manual data collection or analysis. The tracking occurs seamlessly in the background, eliminating the need for separate measurement processes.
Data Source
AI summary
A computer-implemented method is disclosed herein. The method includes the step of providing, with a processing device of a commerce server, sales assistance to a consumer shopping in a retail store and considering a first item for purchase. The method also includes the step of receiving, at the processing device, a receipt signal containing a list of items purchased by the consumer. The method also includes the step of determining, with the processing device, if the first item is among the list of items purchased by the consumer to track the effectiveness of the providing step.