Service Desk

Proactive outbound support involves automatically notifying users about service issues before they report them. It helps shift operations from reactive incident handling to proactive customer communication.

Comarch Communications Service Desk enables this capability by correlating real-time network or service alerts with customer data. When an issue such as an outage is detected, the platform identifies affected users and triggers automated notifications through channels such as SMS, push messages, or messaging applications. This approach reduces inbound support requests, improves communication transparency, and enhances customer satisfaction (CSAT).

AI-assisted knowledge mining uses machine learning and generative AI to continuously extract insights from service desk data, such as resolved tickets, chat transcripts, and technical documentation. It helps keep knowledge bases up to date without manual effort.

Comarch Communications applies this capability by automatically analyzing support interactions and generating knowledge base content in real time. This ensures that new solutions and troubleshooting steps are captured as soon as they are identified. By maintaining an up-to-date and context-aware knowledge base, the platform improves first contact resolution (FCR), reduces mean time to repair (MTTR), and increases overall service efficiency.

GenAI copilots and AIOps enhance service desk and operations teams by automating analysis, prioritization, and decision support. They help engineers manage complex environments more efficiently by reducing manual effort and providing contextual insights.

Comarch Communications applies AIOps to automatically prioritize and route tickets based on business impact, ensuring that the most critical issues are addressed first. At the same time, the GenAI copilot acts as a real-time assistant, summarizing incident histories and suggesting next best actions. This combination improves resolution speed, supports less experienced agents in handling complex issues, and reduces operational costs.

Shift-Left strategies move issue resolution closer to the end user, often through self-service and automated support channels. Zero-Touch automation extends this concept by enabling systems to detect and resolve issues without manual intervention.

Comarch Communications Service Desk supports Shift-Left by using conversational AI, such as chatbots, to handle common issues and provide immediate assistance. At the same time, the platform integrates with automation and orchestration layers to support closed-loop operations. When recurring issues are identified, the system can automatically trigger remediation actions, reducing the need for human involvement and improving resolution speed.

In telecom environments, customer experience (CX) depends not only on network performance metrics but also on how users perceive service quality. Sentiment analysis uses natural language processing (NLP) to evaluate customer interactions and capture this perception.

Comarch Communications Service Desk combines sentiment data with network and service performance indicators to provide a more complete view of Quality of Experience (QoE). By correlating technical KPIs with user feedback, the platform helps identify how network issues affect customer satisfaction. The system also monitors SLA compliance across multi-vendor environments and generates real-time alerts for potential service degradation, enabling faster response and improved service quality.

Agile service management platforms are designed to be flexible, modular, and adaptable to specific operational requirements, while traditional ITSM suites are often rigid and based on predefined processes.

Comarch Communications applies an agile delivery model by tailoring automation rules, dashboards, and multi-tenant service portals to the needs of each organization. The platform is built on open standards, including ITIL 4 practices and TM Forum Open APIs, ensuring interoperability across systems and vendors. This model supports faster deployment, easier adaptation to changing requirements, and a lower total cost of ownership (TCO) compared to monolithic solutions.