Secure Mobile Communication Routing for Context-Aware Customer Interactions
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Solution Overview
Problem
Business enterprises face suboptimal omnichannel customer communication experiences due to siloed interactions across different channels, leading to unnecessary delays and potential loss of sales, as existing systems fail to optimize interactions across all resources.
Innovation Solution
A cloud-based network system comprising an interaction control server, routing engine, media translation server, mobile application, and enterprise database, which optimizes customer interactions by delivering context-aware text messages, chat, or email, and routes them to the best available resource based on various variables, using AI and machine learning for seamless communication across channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional call center systems are used for customer communication, then human resources and agents are available to handle interactions, but customer experience becomes suboptimal due to siloed non-contextual approach and unnecessary delays
Solution Approach 1:
The system segments customer interactions by channel (voice, text, chat, email) and routes each through specialized resources. The interaction control server divides incoming communications into discrete interaction types, assigning them to appropriate enterprise resources based on channel preferences and resource availability, eliminating the siloed approach of traditional call centers.
Solution Approach 2:
The system performs preliminary actions by pre-configuring resource capabilities, channel preferences, and routing rules in the enterprise database. Before customer interactions occur, the optimization engine pre-processes communication requests, pre-identifies suitable resources, and prepares routing paths, thereby reducing interaction delays when actual customer communications arrive.
2Device complexity
If generic communication modes are provided across all channels, then system complexity is reduced, but customer experience deteriorates due to lack of context awareness and personalized interaction
Solution Approach 1:
The interaction control server provides universal functionality by handling multiple communication channels (voice, text, chat, email) through a single unified system. The enterprise database stores contextual information about customers and interactions that can be applied across all channels, enabling context-aware routing without requiring separate specialized systems for each communication mode.
Solution Approach 2:
The system applies local quality by customizing communication handling for specific channels and customer contexts. The optimization engine adjusts routing decisions based on local factors such as customer channel preferences, resource availability for specific interaction types, and contextual information from the enterprise database, allowing personalized interaction while maintaining system-wide coordination.
3Reliability
If customers must navigate various screens and options for assistance, then system security and control are improved, but ease of operation deteriorates due to unnecessary navigation steps
Solution Approach 1:
The system enables self-service by allowing customers to initiate communications through their preferred channels without requiring navigation through complex menus or screens. The interaction control server automatically processes incoming communications, retrieves relevant contextual information from the enterprise database, and routes interactions to appropriate resources, eliminating the need for customers to manually navigate system interfaces.
4Device complexity
If businesses drive customers to traditional call center resources, then existing infrastructure is utilized, but productivity deteriorates due to loss of sales and potential competitive disadvantage
Solution Approach 1:
The system introduces dynamics by enabling flexible routing that adapts to real-time conditions. The optimization engine dynamically adjusts interaction routing based on resource availability, customer preferences, and contextual factors stored in the enterprise database. This dynamic approach allows businesses to utilize existing call center infrastructure while also directing interactions to more efficient resources when appropriate, thereby improving sales acquisition without completely replacing existing infrastructure.
Data Source
AI summary
A system and method for omnichannel voice and text-based routing, transfer, and customer-to-enterprise communications with a secure smart mobile user device. The system is a cloud-based network containing an interaction control server, a routing engine, an optimization engine, a media translation server, a mobile application, a business entity portal, mobile and compute devices for business enterprise and customer, and an enterprise database. Taken together or in part, said system optimizes customer interactions by delivering context aware text message, chat or email to customers; and when requested by customer, optimally routes with context, based upon a multitude of variables, to best available resource to handle the customer interaction. The system may be accessed through web browsers, purpose-built computer, mobile phone applications or a secure smart mobile user device.