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Development of an AI-Driven Omnichannel Cloud Contact Platform
  1. case
  2. Development of an AI-Driven Omnichannel Cloud Contact Platform

Development of an AI-Driven Omnichannel Cloud Contact Platform

kitrum.com
Telecommunications

Identify Challenges in Unified Customer Communication and Experience Management

The client experiences fragmented customer interaction channels that hinder seamless communication, reduce operational efficiency, and impair customer satisfaction. There is a need for an integrated omnichannel platform that consolidates communication methods and incorporates AI-driven functionalities to optimize customer engagement and service delivery.

About the Client

A mid to large-sized enterprise in the telecommunications sector seeking to enhance customer communication channels with integrated AI capabilities.

Define Goals for Implementing an Advanced Omnichannel Communication Platform

  • Design and develop a comprehensive cloud-based omnichannel communication platform with integrated AI to streamline customer interactions.
  • Enable deployment without extensive professional services, ensuring easier scalability and maintenance.
  • Incorporate features such as automatic call distribution, call transfer, three-way calling, CTI, workstation recording, IVR, performance evaluation, predictive dialer, and speech analytics.
  • Enhance customer experience through intelligent routing and analytics, reducing response times and improving service quality.
  • Achieve a scalable, secure, and high-performance system capable of managing large volumes of interactions across multiple channels.

Core Functional Specifications for the Omnichannel Communication System

  • Automatic Call Distribution (ACD) for efficient routing of inbound communications
  • Call transfer and three-way calling to improve conversation management
  • Computer Telephony Integration (CTI) to synchronize telephony with CRM systems
  • Workstation recording for quality assurance and compliance
  • Interactive Voice Response (IVR) for self-service and intelligent routing
  • Performance evaluation tools to monitor and optimize agent productivity
  • Predictive dialer to increase outbound calling efficiency
  • Speech analytics for real-time insights and sentiment analysis

Recommended Technologies and Architectural Approaches

Cloud-native architecture
Java development platform
AI and machine learning integration for speech analytics and predictive dialing
Scalable microservices framework

External Systems and Data Source Integrations

  • Customer Relationship Management (CRM) systems
  • Telephony and VoIP providers
  • Speech and sentiment analysis services
  • Performance monitoring and analytics dashboards

Key Non-Functional System Requirements

  • Scalability to handle high volumes of calls and messages with minimal latency
  • High availability and fault tolerance to ensure uninterrupted service
  • Security compliance including data encryption and access controls
  • Ease of deployment and configuration to enable rapid onboarding
  • Performance metrics aligning with real-time interaction management

Projected Business Outcomes and Benefits

The new platform is expected to streamline customer interactions, reduce operational costs, and enhance customer satisfaction through improved communication routing and advanced analytics. Anticipated results include increased agent efficiency, better engagement metrics, and the ability to scale operations rapidly without significant increase in overhead.

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