List of NICE Real-Time Speech Analytics Customers
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Since 2010, our global team of researchers has been studying NICE Real-Time Speech Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased NICE Real-Time Speech Analytics for Speech Recognition AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using NICE Real-Time Speech Analytics for Speech Recognition AI include: Charter Communications, a United States based Communications organisation with 94500 employees and revenues of $55.09 billion, Alorica, a United States based Professional Services organisation with 115000 employees and revenues of $15.00 billion, Ausrion, a United States based Professional Services organisation with 23000 employees and revenues of $9.00 billion, Atento, a Spain based Professional Services organisation with 10400 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using NICE Real-Time Speech Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the CRM software purchases.
The NICE Real-Time Speech Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of CRM software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Alorica | Professional Services | 115000 | $15.0B | United States | Nice Systems | NICE Real-Time Speech Analytics | Speech Recognition AI | 2018 | n/a | In 2018, Alorica deployed NICE Real-Time Speech Analytics, a Speech Recognition AI application, with an initial implementation running from September 2018 to January 2019. The NICE Real-Time Speech Analytics implementation was scoped to automate quality assurance workflows across Alorica and selected business partner operations, leveraging speech transcription, automated scoring, and exception detection to instrument machine-assisted QA processes. Operational design centralized machine performed QA into existing contact center QA workflows and shifted sampling and review toward analytics-driven scoring and alerts. Machine performed QA accuracy was reported better than 90% when compared to human performed QA, and governance changes included updating QA review rules and operational handoffs to align with automated scoring during the September 2018 to January 2019 rollout. | |
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Atento | Professional Services | 10400 | $1.0B | Spain | Nice Systems | NICE Real-Time Speech Analytics | Speech Recognition AI | 2020 | n/a | In 2020 Atento implemented NICE Real-Time Speech Analytics to add real-time interaction intelligence into its customer experience technology footprint. The deployment was categorized under Speech Recognition AI and positioned the NICE Real-Time Speech Analytics application as a core analytics layer within Atento's partner ecosystem alongside Microsoft, SAP, Avaya, and Keepcon. The implementation configured NICE Real-Time Speech Analytics for continuous speech-to-text transcription, real-time keyword spotting and phrase detection, sentiment and silence monitoring, and agent assist event generation. Transcription and analytic outputs were channeled into monitoring dashboards and quality assurance workflows to enable interaction tagging, supervisory alerts, and routed records for post-call review. Integrations referenced in the implementation narrative included Avaya for cloud contact center session capture, Nice Systems for speech analytics and workforce management interoperability, and Keepcon for social media text analytics consolidation to unify interaction records. The operational coverage emphasized contact center operations, quality assurance, workforce management, and customer experience functions across Atento's service lines. Governance and process changes focused on instrumenting real-time monitoring feeds into QA and supervisor workflows, creating event-driven alerts for compliance and CX issues, and aligning workforce scheduling signals to interaction-level analytics. Rollout and systems integration were executed through Atento's partner-managed integration model leveraging existing contact capture points and vendor integration capabilities. | |
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Ausrion | Professional Services | 23000 | $9.0B | United States | Nice Systems | NICE Real-Time Speech Analytics | Speech Recognition AI | 2016 | n/a | In 2016, Asurion implemented NICE Real-Time Speech Analytics from Nice Systems (NASDAQ: NICE) across its customer service operations. The deployment replaced LiveEngage and established NICE Real-Time Speech Analytics as the enterprise Speech Recognition AI capability for real-time interaction monitoring across multiple lines of business. The implementation focused on core Speech Recognition AI capabilities, including real-time speech analytics, streaming automated transcription, sentiment detection, and agent assist functionality to surface live conversation intelligence. Configuration emphasized low-latency processing and event tagging to support supervisor monitoring, coaching workflows, and operational alerting tied to customer intents. Deployment scope covered multiple lines of business within Asurion’s customer service organization, creating an operational analytics layer that ran alongside agent desktops and live handling workflows. Architecture concentrated on in-line, real-time processing of voice streams to deliver immediate visibility to supervisors and to drive standardized operational handling across distributed teams. Governance included centralized configuration of analytics rules and vocabulary to align speech models with Asurion-specific terminology and intents, enabling consistent enforcement across business units. NICE Systems reported the solution was successfully deployed and enhancing customer service, reflecting improved real-time visibility into customer interactions. | |
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Communications | 94500 | $55.1B | United States | Nice Systems | NICE Real-Time Speech Analytics | Speech Recognition AI | 2018 | n/a |
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