List of Sprinklr Conversational AI+ Customers
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Since 2010, our global team of researchers has been studying Sprinklr Conversational AI+ 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 Sprinklr Conversational AI+ for Chatbots and Conversational 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 Sprinklr Conversational AI+ for Chatbots and Conversational AI include: Deutsche Telekom, a Germany based Communications organisation with 201336 employees and revenues of $134.08 billion, Umniah, a Jordan based Communications organisation with 1400 employees and revenues of $700.0 million, Aramex United Arab Emirates, a United Arab Emirates based Transportation organisation with 2000 employees and revenues of $350.0 million and many others.
Contact us if you need a completed and verified list of companies using Sprinklr Conversational AI+, 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 software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Aramex United Arab Emirates | Transportation | 2000 | $350M | United Arab Emirates | Sprinklr | Sprinklr Conversational AI+ | Chatbots and Conversational AI | 2022 | n/a |
In 2022, Aramex United Arab Emirates deployed Sprinklr Conversational AI+ to power a WhatsApp chatbot and an AI powered contact center service for customer service operations across the UAE and GCC. The engagement is classified under the Chatbots and Conversational AI category and focused on automating customer engagements on messaging channels and the contact center front line.
The implementation used Sprinklr Conversational AI+ capabilities for conversational natural language understanding, automated self service flows, dynamic routing to CCaaS agents, and intent based escalation logic. Sprinklr AI+ features were also explored to augment bot containment and to refine automated resolution workflows, aligning platform configuration with common contact center automation patterns.
Integrations were centered on the WhatsApp channel and the organization s AI powered CCaaS layer, providing a synchronous messaging pipeline between customers and the contact center platform. Operational coverage included customer service teams across Aramex UAE and broader GCC regions, supporting message intake, triage, and agent handoff in regional customer service operations.
Governance emphasized containment and deflection monitoring, with reported operational outcomes documenting 99% bot containment, approximately 20.2 million cases deflected annually, and a reported savings of 1.3 million agent hours. Ongoing work includes expanding Sprinklr AI+ capabilities and tuning conversational models to maintain containment thresholds and escalation quality.
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Deutsche Telekom | Communications | 201336 | $134.1B | Germany | Sprinklr | Sprinklr Conversational AI+ | Chatbots and Conversational AI | 2023 | n/a |
In 2023 Deutsche Telekom deployed Sprinklr Conversational AI+ as part of a broader Sprinklr Service and Social implementation to consolidate customer experience and deliver an AI-powered CCaaS across 11 European countries covering approximately 41,000 agents. The initiative centered on Chatbots and Conversational AI to unify conversational IVR, real-time voice analytics and social service workflows under a single CX platform, with explicit goals to speed resolution times and improve agent productivity.
The implementation combined Sprinklr Service case management and Sprinklr Social channel orchestration with Sprinklr Conversational AI+ conversational bots and IVR capabilities. Configuration work emphasized conversational flows, intent classification, contextual handoffs to live agents and real-time voice analytics for monitoring conversational quality and agent assist, reflecting typical functional modules in the Chatbots and Conversational AI category.
Operational coverage extended across customer service and contact center operations in 11 European markets and spanned voice and social channels, implying integration points with telephony and CRM systems to support case routing and agent desktop workflows. The deployment targeted roughly 41,000 contact center agents, aligning conversational automation with agent assist processes and social care routing to centralize CX execution.
Governance and rollout used a consolidated CX platform model to reduce tool fragmentation and enable phased country rollouts, combined with model governance for conversational AI and agent training for new IVR and assist features. Outcomes stated by the customer included intentions to speed resolutions and improve agent productivity, and the program emphasized operational monitoring and conversational quality controls rather than quantified performance claims.
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Umniah | Communications | 1400 | $700M | Jordan | Sprinklr | Sprinklr Conversational AI+ | Chatbots and Conversational AI | 2024 | n/a |
In 2024, Umniah implemented Sprinklr Conversational AI+ as part of its Chatbots and Conversational AI deployment for digital customer service. The deployment targeted customer-facing messaging channels and positioned Sprinklr Conversational AI+ as the automated engagement layer for live chat and WhatsApp interactions across Umniah’s operations in Jordan.
The implementation configured Sprinklr Conversational AI+ to operate as an AI powered chatbot handling initial customer intents, automated response flows, contextual conversation continuity, and controlled agent handovers. Functional capabilities included 24 7 conversational automation, intent recognition and escalation logic to route complex cases to human agents while maintaining conversation context.
Integrations were explicitly focused on live chat and WhatsApp messaging channels, bringing automated conversational handling into Umniah’s digital engagement touchpoints. Operational coverage emphasized customer service and contact center workflows in Jordan, shifting routine inquiry load to the conversational AI layer and preserving agent intervention for escalated issues.
Outcomes reported for the Jordan deployment include a 53% reduction in agent handover, an 89% improvement in response times and a 91% reduction in average handling time. These results indicate measurable changes in frontline service operations and agent workload following the Sprinklr Conversational AI+ implementation.
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