List of Laiye Cloud-Native Robot Customers
Beijing, x,
China
Since 2010, our global team of researchers has been studying Laiye Cloud-Native Robot 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 Laiye Cloud-Native Robot for Robotic Process Automation 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 Laiye Cloud-Native Robot for Robotic Process Automation include: KE Holdings Inc., a China based Construction and Real Estate organisation with 110082 employees and revenues of $12.71 billion, Nestle China, a China based Consumer Packaged Goods organisation with 24000 employees and revenues of $6.06 billion, Deloitte China, a China based Professional Services organisation with 20000 employees and revenues of $2.90 billion and many others.
Contact us if you need a completed and verified list of companies using Laiye Cloud-Native Robot, 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 | Insight Source |
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Deloitte China | Professional Services | 20000 | $2.9B | China | Laiye | Laiye Cloud-Native Robot | Robotic Process Automation | 2020 | n/a | In 2020, Deloitte China partnered with Laiye and implemented the Laiye Cloud-Native Robot. The Laiye Cloud-Native Robot, classified in the Robotic Process Automation category, was rolled out after a strategic cooperation agreement expanded in 2021 and supported the deployment of the '勤勤助手' conversational RPA solution. Implementation placed the solution into Deloitte China’s shared services center to automate internal administrative workflows, specifically travel booking, meeting-room and device booking, and policy query handling across China. The deployment used Laiye Cloud-Native Robot as the RPA backbone integrated with dialog AI to enable continuous self-service and to orchestrate task automation across SSC operations. The program’s publicized robot deployment occurred in March 2022, reflecting a staged rollout model from initial integration to broader SSC coverage. Configuration and module usage centered on conversational interfaces, workflow orchestration, and robotic task automation to handle booking and query workflows within shared services teams. Governance focused on centralizing routine administrative processes in the shared services center, updating SSC workflows to route inquiries to the '勤勤助手' bot, and establishing escalation paths for human intervention. The implementation aligned Robotic Process Automation capabilities with SSC service operations to automate routine admin tasks and streamline internal service delivery. | |
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KE Holdings Inc. | Construction and Real Estate | 110082 | $12.7B | China | Laiye | Laiye Cloud-Native Robot | Robotic Process Automation | 2020 | n/a | In 2020, KE Holdings Inc. implemented Laiye Cloud-Native Robot in its shared services centers to automate high-volume HR, finance and reporting workflows. The deployment positioned Laiye Cloud-Native Robot as a Robotic Process Automation tool supporting centralized SSC operations across China for hundreds of business entities. KE Holdings Inc. used Laiye Cloud-Native Robot as the core Robotic Process Automation platform, provisioning scalable bots and standardized automation templates to handle transactional updates, data aggregation and report generation. By June 2021 the environment had scaled to 34 robots, reflecting rapid expansion of automated workflows and centralized scheduling and orchestration across the SSC estate. Operational coverage focused on HRSSC and FSSC units, with automation deployed across hundreds of KE Holdings business entities in China to support human resources, finance and management reporting functions. The implementation emphasized consolidation of repetitive processing within shared services centers and standardization of end-to-end automation patterns for back-office tasks. Governance and rollout were executed through SSC operational teams beginning in mid-2020, enabling bot provisioning, operational ownership and incremental scaling across sites. Reported outcomes from the vendor case study include roughly 15,000 monthly hours saved and up to 30x speed improvements on some HR update processes following automation using Laiye Cloud-Native Robot. | |
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Nestle China | Consumer Packaged Goods | 24000 | $6.1B | China | Laiye | Laiye Cloud-Native Robot | Robotic Process Automation | 2018 | n/a | In 2018, Nestle China deployed Laiye Cloud-Native Robot to augment customer-service operations under its Wyeth China business, targeting high-volume mother and baby inquiries on WeChat. The deployment used Laiye Cloud-Native Robot as a cloud native Robotic Process Automation platform paired with conversational AI to extend WeChat CRM and customer-service channels. Functionally, the implementation combined Laiye conversational AI and task-automation capabilities with Laiye Cloud-Native Robot to automate backend tasks such as CRM routing, information retrieval, and case orchestration, reducing manual agent steps. Integrations explicitly included WeChat CRM and customer-service channels, with operational coverage focused on Wyeth China customer service in China handling mother-and-baby inquiries. Operational governance emphasized augmentation of human agents through automated task handoffs and orchestration of chat to backend processes, reshaping agent workflows and CRM orchestration flows. By October 2019 about 2.48M messages had been processed through the solution and the deployment was reported to have reduced average response times and delivered notable efficiency gains. |
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