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.
Reviews for 'Application Development, Integration and Management - Others'
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.
Reviews for 'Customer Relationship Management - Others'
Gartner defines digital commerce as the technology that enables customers to purchase goods and services through an interactive and self-service or assisted experience. The platform provides necessary information for customers to make their buying decisions and uses rules and data to present fully priced orders for payment. The commerce product must support interoperability with customer data, product content (e.g., price, availability) and order functionality and data via APIs. Digital commerce is commonly delivered as single or multitenant SaaS, or as single-tenant hosted or managed hosted (PaaS) applications. It could be offered for on-premises implementations in some circumstances. Digital commerce enables customers to purchase goods and services through an interactive and self-service or assisted experience, providing the necessary information for customers to make buying decisions.
Email marketing is the use of the email channel to deliver and optimize marketing messages — such as brand newsletters or contextually relevant, real-time and personalized communications — in support of engagement across the customer journey. Email service providers often bolster their technology platforms with supplementary managed services to improve the value and scalability of the email channel.
Reviews for 'Enterprise Networking and Communications - Others'
Gartner defines multichannel marketing hubs (MMHs) as software applications that orchestrate personalized communications to individuals in common marketing channels. MMHs optimize the timing, format and content of interactions through the analysis of customer data, audience segments and offers. MMHs are foundational for multichannel marketing, customer journey orchestration and next best action programs.
As business processes become increasingly advanced, providers are creating reliable partnerships to scale profitable and growing markets in the PRM industry. Providers that have a large number of partnerships need assistance to reduce the administration complexities caused when working with each other. Hence, PRM software can play a vital role in reducing these business complexities. Partner relationship management (PRM) applications market as a set of tools used by providers to interact with their indirect channel partners on a one-to-one and one-to-many basis. PRM tools enhance communication, facilitate training, and support partner sales and marketing activities. PRM applications are used to help providers scale their partner programs and improve partner experience. PRM applications help organizations to simplify and integrate the process of working with partners, thereby providing partners with resources and efficient communication to increase sales on an organization’s behalf. PRM applications streamline both the management distribution and deal registrations to help reduce costs and labor involved. In parallel, they increase partner satisfaction and reduce channel conflicts.
Gartner defines personalization engines as technology that enables marketing professionals to identify, set up, conduct and measure the optimum experience for an individual based on knowledge about them, their intent and context. Personalization engines apply context about individual users and their circumstances to select, tailor and deliver messaging such as content, offers and other interactions through various digital channels in support of three use cases: Marketing: Delivering the right message to the right audience and in the right context (i.e., tone, timing and channel) to maximize marketing and advertising performance. It involves behavioral inference, segmentation, testing, targeting and optimization of marketing campaign content, messaging and engagements across marketing and communication channels. Digital commerce: Tailoring content, offers, recommendations and experiences across digital sales channels. It includes personalized site search and navigation and customized content across homepages, category landing pages and product detail pages, with the goal of increasing conversion and delivering online revenue growth. Service and support: Using customer insight, journey context and user feedback (i.e., surveys and stated intent) to customize online and offline experiences across business functions to reduce customer effort or increase customer satisfaction and advocacy.