List of Oracle NetSuite Expert Customers
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Since 2010, our global team of researchers has been studying Oracle NetSuite Expert 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 Oracle NetSuite Expert 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 Oracle NetSuite Expert for Chatbots and Conversational AI include: Tango Card, a United States based Professional Services organisation with 140 employees and revenues of $18.0 million, MFI Medical, a United States based Life Sciences organisation with 40 employees and revenues of $8.0 million, Carrot-Top Industries, a United States based Retail organisation with 40 employees and revenues of $6.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle NetSuite Expert, 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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Carrot-Top Industries | Retail | 40 | $6M | United States | Oracle | Oracle NetSuite Expert | Chatbots and Conversational AI | 2024 | Contivio |
In 2024, Carrot-Top Industries implemented Oracle NetSuite Expert for Chatbots and Conversational AI. The deployment connected Contivio's AI powered contact center to NetSuite to unify voice, chat, and email interactions into NetSuite customer records.
Implementation focused on conversational automation and self service, adding AI chat and automated responses for common requests while preserving agent escalation paths. Conversations and transcripts are synchronized to NetSuite customer records, aligning interaction history with customer and order data in NetSuite CRM. Configuration work included mapping conversational transcripts to customer records and exposing interaction context to agents to improve visibility during case handling.
Contivio served as the systems integrator, implementing the integration layer between the contact center and Oracle NetSuite Expert. Operational scope targeted customer service and contact center workflows, with changes to agent desktop workflows and CRM record governance to ensure conversations are captured as part of the customer history. Outcomes noted in the case material include improved agent efficiency and visibility and expanded self service channels for routine requests.
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MFI Medical | Life Sciences | 40 | $8M | United States | Oracle | Oracle NetSuite Expert | Chatbots and Conversational AI | 2024 | n/a |
In 2024 MFI Medical implemented Oracle NetSuite Expert alongside Yuma.ai conversational chat automation within the Chatbots and Conversational AI category to address high-volume product and order inquiries. The deployment focused on automating customer-facing ticket intake and resolution workflows while maintaining direct access to order and customer records in the Oracle NetSuite Expert environment.
The implementation configured conversational workflows to capture inquiry intent, surface order and customer context, and drive automated ticket resolution, achieving approximately 64% ticket automation as reported. NetSuite module usage is inferred to include CRM and order management capabilities, with the chat automation orchestrating lookups and updates to those modules to resolve common product and ordering questions.
Integrations emphasized bi-directional interaction between Yuma.ai chat automation and NetSuite, with the conversational layer navigating between NetSuite and other backend systems to complete tickets and trigger downstream workflows. Operational scope centered on customer service and order management processes, aligning front-line support agents with automated routing and escalation when the conversation required human intervention.
Governance and process changes included formalizing conversation-to-ticket mappings, centralized logging of chat interactions, and rules-based escalation paths to ensure consistent handoffs between automation and agents. Outcomes documented in the case material include dramatically reduced first response times and the stated level of ticket automation, reflecting a shift in day-to-day support operations driven by the integrated Chatbots and Conversational AI implementation.
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Tango Card | Professional Services | 140 | $18M | United States | Oracle | Oracle NetSuite Expert | Chatbots and Conversational AI | 2021 | n/a |
In 2021, Tango Card deployed Ada's conversational AI to automate recipient and partner support across channels in the United States, integrating Oracle NetSuite Expert for personalization. The Chatbots and Conversational AI implementation centralized conversational workflows and customer engagement use cases for recipient and partner support, aligning automated responses and routing across web and messaging channels.
Ada's conversational AI was configured with automated self service flows, intent recognition, contextual routing, and fallback escalation to human agents as typical for Chatbots and Conversational AI solutions. Oracle NetSuite Expert was integrated to provide personalization, with the deployment leveraging NetSuite data to surface customer and order context in conversations and tailor responses where appropriate. The project explicitly reported reduced ticket volume and improved first response time across channels.
Operational governance emphasized conversational content management, segmentation between recipient and partner journeys, and escalation rules to preserve support quality. The technical approach combined Ada's conversational platform with Oracle NetSuite Expert for data enrichment, and the rollout focused on United States support operations to maintain consistent conversational state and handoffs between automated and human workflows.
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