List of Rulai Platform Customers
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Since 2010, our global team of researchers has been studying Rulai Platform 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 Rulai Platform 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 Rulai Platform for Chatbots and Conversational AI include: Sanofi, a France based Life Sciences organisation with 82878 employees and revenues of $47.74 billion, Michelin Tire, a United States based Manufacturing organisation with 22750 employees and revenues of $11.50 billion, Dhgate China, a China based Distribution organisation with 700 employees and revenues of $150.0 million and many others.
Contact us if you need a completed and verified list of companies using Rulai Platform, 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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Dhgate China | Distribution | 700 | $150M | China | Rulai | Rulai Platform | Chatbots and Conversational AI | 2019 | n/a |
In 2019, Dhgate China implemented the Rulai Platform to automate customer support conversations in its CRM and contact-center functions. Dhgate China is a distribution company with approximately 700 employees and applied the Rulai Platform as a Chatbots and Conversational AI solution to centralize conversational support across its customer service organization.
The Rulai Platform deployment focused on customer service chatbot capabilities, including conversational orchestration, intent recognition, dialog management, and automated escalation into human-assisted workflows. Configuration emphasized chat automation for inquiry triage, automated response generation, and session handoff to contact-center agents when needed, aligning the Rulai Platform with CRM and contact-center processes for live chat and self-service channels.
Operational coverage was concentrated on Dhgate's customer service operations handling inbound support flows and conversational case routing. According to vendor-cited references, Dhgate reports its support bot is handling more than 70% of support requests without human intervention, indicating a high degree of conversational automation applied to online marketplace support.
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Michelin Tire | Manufacturing | 22750 | $11.5B | United States | Rulai | Rulai Platform | Chatbots and Conversational AI | 2019 | Foundever |
In 2019, Michelin Tire deployed the Rulai Platform to power its consumer chat agent Mitch for Michelin North America, addressing customer service at the contact center level. The Rulai Platform implementation focused on Chatbots and Conversational AI, delivering automated customer service interactions within a contact-center and CRM use case.
The deployment centered on core conversational AI capabilities including natural language understanding, intent classification, dialogue orchestration, and automated escalation to human agents, all implemented as part of the Rulai Platform configuration. Conversation analytics and session routing were configured to drive automated resolution where possible and to surface complex cases for agent handling.
Integrations connected the Rulai Platform to contact center routing and CRM systems to enable case context persistence and agent handoff, and the implementation was delivered with Sitel as the implementation partner. The deployment now handles roughly half of incoming chat contacts according to the joint Sitel and Rulai announcement, and the record lists Foundever as the SI VAR associated with the account.
Operational scope targeted Michelin North America customer service and contact center functions, and rollout introduced automated escalation paths and conversational monitoring to reshape agent workflows. The program was reported to improve resolution speed and customer satisfaction per the Sitel Rulai announcement, and governance included ongoing tuning of intents and dialog flows to align the Rulai Platform with service quality objectives.
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Sanofi | Life Sciences | 82878 | $47.7B | France | Rulai | Rulai Platform | Chatbots and Conversational AI | 2019 | n/a |
In 2019 Sanofi deployed the Rulai Platform as a Chatbots and Conversational AI application to handle order-status queries within its order management and supply chain adjacent operations. The implementation targeted a conversational interface for order-status inquiries, with the stated objective of rapidly answering customer and internal questions about order state.
The deployment emphasized conversational NLU and dialog management capabilities, configured with an order-status intent and scripted dialogue flows to surface order-level information. The Rulai Platform implementation included an inferred SAP order/status integration module to map conversational intents to transactional order records, and it was configured to parse order identifiers, query status fields, and return human-readable status responses.
Integration scope referenced direct linkage to SAP order data, enabling the chatbot to read order status from SAP and return results to requestors, positioning the application at the intersection of supply-chain, order-management, and CRM adjacent workflows. Operational coverage focused on order inquiry processes used by customer service and supply chain teams, where the chatbot served as a first-line interface for routine status checks while interfacing with canonical ERP order data.
Governance and rollout were pragmatic and fast paced, the Rulai Platform instance was launched rapidly in about three weeks to begin answering order-status queries, and configuration centered on intent taxonomy, dialogue orchestration, and ERP data access controls. The implementation narrative highlights a focused, use-case led rollout, aligning conversational routing and enterprise data access to existing order inquiry workflows.
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