List of Jenzabar Chatbot Customers
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Since 2010, our global team of researchers has been studying Jenzabar Chatbot 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 Jenzabar Chatbot 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 Jenzabar Chatbot for Chatbots and Conversational AI include: Bethune-Cookman University, a United States based Education organisation with 1000 employees and revenues of $250.0 million, Community College of Beaver County, a United States based Education organisation with 200 employees and revenues of $19.0 million and many others.
Contact us if you need a completed and verified list of companies using Jenzabar Chatbot, 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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Bethune-Cookman University | Education | 1000 | $250M | United States | Jenzabar | Jenzabar Chatbot | Chatbots and Conversational AI | 2021 | n/a |
In 2021, Bethune-Cookman University deployed Jenzabar Chatbot to handle a surge in prospective student and parent inquiries. The Jenzabar Chatbot implementation targeted admissions and student engagement workflows under the Chatbots and Conversational AI category in the United States.
The deployment configured conversational workflows to automate routine inquiries, route complex queries to staff, and capture prospective student contact details for follow up. Documented functional capabilities emphasize automated response templates, conversational triage for admissions questions, and engagement automation aligned to enrollment touchpoints.
The vendor case study reports operational outcomes, stating the university saved roughly 800 staff hours and about $16,000 per month while improving response times and student satisfaction. These results are presented as direct consequences of Jenzabar Chatbot handling inbound inquiry volume and easing admissions team workload.
The case study does not explicitly document system level integrations, and integration with the institution's student information system is described as likely rather than confirmed. Governance and rollout are described at the departmental level with admissions as the primary operator, and the implementation narrative centers on conversational automation, routing, and enrollment-related workflow support.
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Community College of Beaver County | Education | 200 | $19M | United States | Jenzabar | Jenzabar Chatbot | Chatbots and Conversational AI | 2020 | n/a |
In 2020, Community College of Beaver County implemented Jenzabar Chatbot to provide 24/7 self-service support across departments during the COVID-19 campus shift. The deployment used Jenzabar Chatbot, a SaaS chatbot in the Chatbots and Conversational AI category, to handle common inquiries and reduce manual routing for student services teams.
Configuration emphasized intent driven Q and A, automated ticket triage, and workflow handoff to human agents where needed, with content centralization and ongoing knowledge base updates. The Jenzabar Chatbot rollout covered 15 departments, notably IT and admissions, and was completed in about 30 days, enabling continuous automated support across campus touchpoints.
Operational coverage included campus wide support in the United States for IT and admissions workflows, with the chatbot operating as the first line of contact. Reported outcomes included a reduction in IT support calls from approximately 45 per month to about 4 per month, faster response times, reduced administrative workload, and measured time and cost savings for the institution.
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