AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Playvox Customer AI Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Creditas Banking and Financial Services 3000 $370M Brazil Playvox Playvox Customer AI Customer Analytics 2019 n/a
In 2019 Creditas implemented Playvox Customer AI for its contact center operations in Brazil, establishing the vendor application Playvox Customer AI as a Customer Analytics capability within its service organization. This deployment complemented the company’s Playvox Workforce Management rollout that targeted scheduling, adherence and operational visibility for contact center operations, the Workforce Management implementation achieving reported improvements in adherence of 16% and punctuality of 25%. The implementation scope centered on contact center quality assurance, agent coaching and voice of the customer capture across inbound customer service channels. Playvox Customer AI was configured to provide Customer Analytics functions consistent with text analytics and automated QA workflows, including automated quality scoring, interaction classification and thematic issue detection to prioritize QA review. Configuration and operationalization emphasized QA rule sets, scoring models and agent feedback loops to turn automated AutoQA outputs into coaching inputs and quality workflows. Governance changes focused on integrating automated QA outputs into existing QA team processes and contact center operations, aligning QA review cadence and coaching cycles with workforce scheduling. The source did not specify external system integrations, the narrative centers on extending Playvox quality and workforce capabilities within the Playvox platform.
SeQura Professional Services 300 $50M Spain Playvox Playvox Customer AI Customer Analytics 2022 n/a
In 2022, SeQura expanded its customer support analytics stack by implementing Playvox Customer AI as part of a broader Playvox deployment. The company had deployed Playvox Quality Management and Playvox Performance Management for its support operations in Spain, establishing a centralized Quality and performance program for customer service agents. The implementation included Playvox Quality Management and Playvox Performance Management modules, with the deployment configured to standardize QA scoring, sample review workflows, agent coaching workflows, and performance dashboards. Playvox Customer AI capabilities such as automated quality scoring, sentiment analysis and tagging are integrated with the QA workflows to automate review triage and surface conversational attributes, aligning with the Customer Analytics category and common AutoQA capabilities bundled in Playvox offerings. Operational coverage targeted SeQura customer support in Spain and impacted customer service quality assurance, reporting and workforce performance management functions. Governance involved standardizing QA criteria, instrumenting automated tagging and scoring to reduce manual reporting, and embedding performance feedback loops into agent coaching. The Playvox Quality Management and Playvox Performance Management deployment produced explicit outcomes documented by SeQura, including a 50 percent increase in QA productivity and an 80 percent reduction in time spent on reporting, with Playvox Customer AI serving as the analytics layer driving automated tagging and scoring.
SoFi at Work Banking and Financial Services 5000 $2.7B United States Playvox Playvox Customer AI Customer Analytics 2022 n/a
In 2022, SoFi at Work implemented Playvox Customer AI as part of Playvox's Agent Optimization Suite for its member service contact center in the United States. The deployment targeted Customer Analytics to centralize quality assurance and support analytics across agent-facing operations. The implementation configured core modules from the Agent Optimization Suite, specifically Quality, Learning, Performance, and Voice of the Customer, to enable standardized QA workflows, learning management, agent performance dashboards, and VoC analytics. Customer AI and AutoQA usage is inferred as part of the broader Quality and Voice of the Customer capabilities, supporting automated scoring and interaction insight extraction consistent with Customer Analytics functionality. Playvox Customer AI was provisioned as a cloud-hosted agent optimization suite and operated across SoFi at Work member support teams in the United States, impacting QA analysts, coaching and workforce performance functions, and centralized support analytics reporting. Integrations with other line-of-business systems were not specified in the announcement, the focus remained on end-to-end support analytics and agent performance tooling. Governance centered on centralized QA scoring and learning assignment workflows to standardize coaching and performance management processes. The Playvox announcement reported faster time to value and improved visibility for support analytics as stated outcomes of the Customer Analytics rollout.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating Playvox Customer AI

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Playvox Customer AI. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Playvox Customer AI for Customer Analytics include:

  1. Dream Weavers Realty, a India based Construction and Real Estate organization with 30 Employees
  2. Diamond Collection, a United States based Retail company with 10 Employees
  3. Level AI, a United States based Professional Services organization with 170 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Playvox Customer AI Coverage

Playvox Customer AI is a Customer Analytics solution from Playvox.

Companies worldwide use Playvox Customer AI, from small firms to large enterprises across 21+ industries.

Organizations such as SoFi at Work, Creditas and SeQura are recorded users of Playvox Customer AI for Customer Analytics.

Companies using Playvox Customer AI are most concentrated in Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.

Companies using Playvox Customer AI are most concentrated in United States, Brazil and Spain, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Playvox Customer AI across Americas, EMEA, and APAC.

Companies using Playvox Customer AI range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 0%.

Customers of Playvox Customer AI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Playvox Customer AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Customer Analytics.