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Telco IT AI Apps

Portfolio

In today’s dynamic telecom industry Artificial Intelligence (AI) is the key for Communication Service Providers (CSPs) to unlock higher efficiency, foster business growth, and enhance customer satisfaction.

Ericsson Telco IT AI Apps harness the power of AI and Gen-AI to deliver a range of intelligent insights for OSS/BSS that empower CSPs to minimize revenue loss, enhance marketing strategies, reduce customer attrition, improve customer satisfaction, and capitalize on new revenue-generating prospects. It enhances OSS/BSS features and elevates the observability of OSS/BSS systems through diverse AI and Gen-AI use cases. The offering leverages AI and Gen-AI to:  

  • Accelerate product configuration, reduce revenue leakage, customize marketing campaigns, personalize experiences, predict churn, and drive increased upsell/cross-sell
  • Uncover hidden insights to reduce revenue leakage, improve service availability, reduce total cost of ownership and deliver seamless customer experience
  • Analyse data and gain predictive insights for running OSS/BSS operations smoothly. 
  • Gain near real-time visibility into network health, identify potential problems before they occur, and deliver a seamless customer experience.
  • Enable automated workflows, personalized customer interactions, proactive anomaly detection,  root cause analysis, and optimized resource allocation.

           To know more, contact us 

OUR KEY BENEFITS

Increase revenue

Actionable customer insights to minimize revenue leakages and improve sales.

Enhance customer experience

Actionable service insights to drive customer experience improvements.

Reduce total cost of ownership

Actionable operations insights to enhance operational efficiency of BSS/OSS systems.

Overview Explore more

Ericsson Telco IT AI Apps offers a set of cloud native AI and Gen-AI applications designed to augment OSS/BSS features and elevate the observability of OSS/BSS systems. These AI and Gen-AI applications are offered as fully managed services to CSPs, leveraging data from Billing, Charging, Catalog Manager, Expert Analytics, CRM, Order Care, Service Orchestration, Network Manager and Mediation to provide customer, service, and operations insights. Ericsson Telco IT AI Apps are available either on Ericsson's in-house cloud agnostic platform, Ericsson Telco IT AI Engine or HCP AI/Gen-AI platform.

Ericsson Telco IT AI Engine is cloud-agnostic AI platform that provides a strong foundation for rapid development of Machine Learning (ML) and generative AI (Gen-AI) applications. It includes features to handle operations, orchestration and coordination of AI tasks and processes, security and ethical considerations, and managing data storage and retrieval efficiently. It has been developed with purpose to combine Ericsson expertise and technology with telecom knowledge sources, including TM Forum (TMF) and 3rd Generation Partnership Project (3GPP) standards to ensure ease of use and reliability for CSPs.

 

Ericsson Telco IT AI Applications includes the following AI-based intelligent insights addressing the distinct business and operational needs of CSPs:

  1. Core Commerce – Leverage the power of AI and Gen-AI to accelerate product configuration, reduce revenue leakage, customize marketing campaigns, personalize experiences, predict churn, and drive increased upsell/cross-sell:
  • Product Configuration Assistant: Automates conversion of business requirements into product offerings, ensuring the correct configuration in revenue management and product catalog systems.
  • Guided Selling (CPQ Assistant): Guides through the Configure Price Quote (CPQ) process, speeds up quote generation, enhances sales, boosts adoption through intelligent, personalized buyer engagement and helping customer choose right product.
  • Order Fallout Detection and Prediction: Analyses order processing systems data in near-real-time to predict potential roadblocks and prevent order failures.
  • Smart Pricing: Predicts product sales across prices and times using historical data, helping CSP set optimal pricing.
  • Next Best Offer: Recommends personalized offers to customers based on correlation between product choice and customer’s features.
  • Intelligent Churn Management: Uncovers hidden customer insights to personalize experiences, predict and prevent churn, and win back lost customers.
  • Similar Interest Recommendation: Identifies product association based on purchase trends, features, monetary value, and more to recommend related products for up-selling and cross-selling.
  • Intelligent Customer Segmentation: Empowers marketing teams to create customer segments based on subscribers’ behavioural patterns to improve campaign targeting.

 

  1. Monetization– Harness the power of AI and Gen-AI to uncover hidden insights to reduce revenue leakage, improve service availability, reduce total cost of ownership (TCO), and deliver a seamless customer experience:
  • Intelligent Invoice Anomaly Detection: Processes large amounts of invoice data and identifies billing anomalies accurately and swiftly.
  • Product Configuration Assistant: Automates conversion of business requirements into product offerings, ensuring the correct configuration in revenue management and product catalog systems.
  • Anomaly Detection for Charging Applications: Detects anomalies early by analysing deviating traffic patterns from system logs and metrics, reducing TCO and enhancing customer experience.
  • Intelligent Usage Analysis for Charging: Identifies anomalies in voice/data/Short Messaging Service (SMS)/Multimedia Messaging Service (MMS) usage, refill trends, and other diverse abnormal behaviors in near real-time traffic and charging scenarios.
  • Intelligent Usage Analysis for Billing: Identifies billing issues and detect anomalies in near real time by performing Call Data Record (CDR) trend analysis and subscribers’ rating trends analysis
  • 5G CAF Service KPI Degradation Correlation: Identifies KPI irregularities in Charging Access (CHA) node, enabling early issue detection, root cause analysis, and remediation. 

 

  1. Orchestration – Utilizes AI and Gen-AI to analyze data and gain predictive insights for running OSS/BSS operations smoothly:
  • Closed-loop Automation Agents: Automates the translation of intent into TMF commands and actionable steps, continuously monitoring network performance, and dynamically adjusting the network to meet desired outcomes.

 

  1. Data and Analytics – Leverage AI to enable real-time insights, automated workflows, personalized interactions and targeted offers:
  • Network Insights Assistant: Converts natural language text to SQL, fetching on-the-fly customized network experience insights.
  • User Behavior Clustering: Automates the segmentation of users based on customer behavior and service usage helps marketing teams effortlessly craft targeted offers to maximize profit.
  • Product Information Assistant: Derives contextual and relevant information from product documentation to support operations and business processes.

 

  1. Cloud and IT Services: Leverage AI to enable automated workflows, personalized interactions, proactive anomaly detection, root cause analysis, and optimized resource allocation.
  • VNF Service Degradation Correlation: Uses anomaly detection and cross correlation techniques for correlating performance indicators from VNF and NFVI layers, enabling end to end monitoring of services.
  • Order Fall-out Detection and Prediction: Analyses order processing systems data in near-real-time to predict potential roadblocks and prevent order failures.
  • Anomaly Detection for Charging Application: Detects anomalies early by analysing deviating traffic patterns from system logs and metrics, reducing TCO and enhancing customer experience.
  • Intelligent Ticket Manager: Categorizes and automatically assigns incoming tickets enabling reductions in the meantime to resolve problem tickets.
  • TIPS Smart Ticketing: Matches historical tickets with relevant resolution, thereby aiding in quicker resolution
  • Capacity Forecast for Telco Cloud stack: Uses univariate and multivariate techniques for capacity forecasting applications and Virtual Machines.
  • 5G CAF Service KPI Degradation Correlation: Identifies KPI irregularities in CHA node, enabling early issue detection, root cause analysis, and remediation. 
  • Operations Intelligent Assistant: Leverages Gen-AI to retrieve details from product documentation, operations manuals, and data from CSP IT Service Management (ITSM) tools to assist operations’ team.

 

In addition to above readymade AI and Gen-AI application, Ericsson is also able to deliver custom AI and Gen-AI applications to CSPs, meeting their specific needs. To automate and accelerate the development of custom AI and Gen-AI applications, Ericsson has developed Ericsson Telco Agentic AI Studio.  With an intent-driven approach and Agentic AI capabilities, Telco Agentic AI Studio empowers developers to rapidly create, tailored Gen-AI solutions for CSPs. The studio is built on the Amazon Bedrock platform. The Telco Agentic AI Studio offers a flexible, multi-HCP, cloud-agnostic, hybrid execution environment, rendering it an invaluable tool for transforming Gen-AI concepts into dynamic applications.

Ericsson and AWS have also collaborated for a Gen-AI Lab. The Gen-AI Lab is a groundbreaking global program designed to fast-track AI innovation in OSS/BSS for CSPs. Through a structured, outcome-driven approach, the Lab uses Ericsson's expertise and OSS/BSS portfolio, and the AI platform capabilities of AWS (such as Amazon Bedrock) and cloud services, to empower CSPs to solve OSS/BSS challenges with Generative AI, turning ideas into reality at unprecedented speed.