Smart Device Concierge System for Automated Business Referrals
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Solution Overview
Problem
Current automated customer service systems lack a widespread and easily adoptable method for generic and gamified concierge services that can refer customers to businesses, allowing for compensation of concierges for successful referrals, using smart devices in a manner that is user-friendly and does not hinder customer experience.
Innovation Solution
A system and method utilizing a smart device concierge system with a database, mobile device applications, and a referral engine to register users, facilitate business referrals, and compensate commercial concierges for successful product or service referrals, allowing users to install and use the concierge application to place orders or reservations through linked devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a traditional manual concierge service is used to refer customers to businesses, then personalized service and customer experience are improved, but operational complexity and costs increase
Solution Approach 1:
The system enables automated concierge services where the mobile device and referral engine automatically perform customer referral tasks without requiring manual human intervention. The system self-manages the entire referral process including detecting customer presence, generating referrals, and processing compensations automatically.
Solution Approach 2:
The patent replaces the manual mechanical process of traditional concierge services with an automated electronic system using mobile devices, sensors, and software algorithms. The physical interaction between concierge and customer is substituted by automated detection and communication systems.
2Productivity
If automated customer service systems are implemented for concierge services, then operational efficiency and cost-effectiveness are improved, but personalization and customer engagement deteriorate
Solution Approach 1:
The system provides personalized service experiences tailored to each customer's specific needs, preferences, and context. The automated system adapts its behavior and recommendations based on individual customer profiles and real-time situational data, delivering localized quality service rather than generic automated responses.
Solution Approach 2:
The system dynamically adjusts service parameters such as referral timing, communication methods, and compensation amounts based on customer behavior patterns and preferences. This allows the automated system to maintain personalization by continuously optimizing service delivery parameters.
3Ease of operation
If mobile device applications are used for concierge services, then ease of use and accessibility are improved, but customer distraction and reduced focus on business environment occur
Solution Approach 1:
The system performs concierge tasks in advance or in the background without requiring active customer engagement. Customer presence and preferences are pre-configured, allowing the system to automatically execute referral actions without distracting the customer from their primary activities or business environment.
Solution Approach 2:
The mobile device acts as an intermediary that handles all customer interactions with the concierge system in the background. The device receives and processes referral requests, manages communications, and handles transactions without requiring the customer to directly engage with the system, thus eliminating distraction.
4Device complexity
If manual referral processes are used, then system simplicity is maintained, but referral tracking and compensation accuracy deteriorate
Solution Approach 1:
The system implements automated feedback loops that continuously track referral outcomes and verify successful conversions. The referral engine receives real-time feedback from businesses and customers to confirm whether referrals resulted in actual transactions, enabling precise tracking and accurate compensation calculation.
Solution Approach 2:
The system creates and manages digital copies of referral records, customer profiles, and transaction data. These electronic copies enable precise tracking and verification of referral outcomes without the errors and inaccuracies associated with manual record-keeping.
Data Source
AI summary
A system and method for customer and business referral with a smart device concierge system, comprising a database comprising customer and business information, a mobile device operating a concierge application and an automation application, and a referral engine, to allow users to register for and install the concierge application and automation application, and use them to place orders for products, services, or reservations with participating businesses via linked smart devices using the automation application, gives or place these orders for other users who approve of receiving the product, service, or reservation, and compensating application users who have a commercial interest in operating the application, called a commercial concierge, who may be compensated for referring users to various businesses for products, services, or reservations the user may enjoy or be searching for, in lieu of a traditional concierge that may help refer customers manually.