Gartner defines the market of AI in communications service provider (CSP) customer and business operations as commercial off-the-shelf (COTS) products. They are either capabilities embedded in CSP-specific operational technology (OT) applications (such as channels, CRM and other business support system [BSS] applications) or industry-agnostic horizontal applications delivering AI/machine learning (ML)-based customer and business operations in CSPs. CSP customer and business operations refer to marketing, sales, customer acquisition, customer journey, billing and revenue management, revenue assurance, and related risk management. The scope of AI products covers data readiness, life cycle management of algorithms and their application to CSP customer and business operations. AI in CSP customer and business operations helps CSPs utilize AI/ML to generate insights and automate business processes across a wide range of customer and business operations areas. These areas include marketing, sales, configure-price-quote (CPQ), order management, product management, billing and revenue management, customer journey and care, revenue assurance, and fraud/risk management. An example can be intelligent chatbots utilizing natural language processing for customer interaction use cases to automate call center operations. These products assist with insights and automation and help CSPs manage the life cycle of AI/ML algorithms, gradually enabling ModelOps/AIOps.
Gartner defines customer management and experience solutions as part of business support systems (BSS) solutions for CSPs, and as commercial off-the-shelf software solutions that address CSPs’ all customer-facing operational requirements. This includes managing customer channels, customer information, incidents, products, pricing, quotes and offers, order and partner management. CM&X solutions often work together with revenue management and monetization solutions as part of a complete BSS stack.
Gartner defines CSP revenue management and monetization as a part of BSS, as commercial off-the-shelf software solutions that enable CSPs to manage their revenue management (rating, charging, billing, payments, collections, revenue assurance and fraud management) and monetization initiatives. RM&M solutions also enable CSPs with billing and payments associated customer care. Monetization refers to revenue growth initiatives and activities using levers, such as solutions for mobile banking, supporting as-a-service propositions and new business models.
Gartner defines CSP service design and orchestration (SD&O) solutions as part of operations support system (OSS). It’s a set of products/offerings that enable CSPs to design, fulfill and orchestrate services for their clients in various market segments such as consumer, enterprise and wholesale. These solutions include service design tools; policy tools; orchestration solutions; and inventories, provisioning and activation tools for use in physical, virtual, containerized and hybrid network environments.
An operational support system (OSS) is a set of programs that help a company in monitoring, controlling, analyzing and managing a computer network. OSS software is specifically dedicated to communications service providers and mainly used for supporting network planning, network provisioning, service fulfillment, and service assurance from a common core of service and resource management. Other functionality includes embedded analytics, correlation and aggregation, reporting, product life cycle management, multichannel support, resource and asset planning. OSS data is of strategic importance to measure the impact of operational technical processes on customer and business goals.