List of Laiye IDC Customers
Beijing, x,
China
Since 2010, our global team of researchers has been studying Laiye IDC 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 IDC for Intelligent Document Processing 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 IDC for Intelligent Document Processing include: China Mobile, a Hong Kong based Communications organisation with 455405 employees and revenues of $144.95 billion, Johnson & Johnson, a United States based Life Sciences organisation with 138100 employees and revenues of $88.82 billion, Zijin Mining China, a China based Oil, Gas and Chemicals organisation with 55690 employees and revenues of $42.30 billion and many others.
Contact us if you need a completed and verified list of companies using Laiye IDC, 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.
The Laiye IDC customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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China Mobile | Communications | 455405 | $144.9B | Hong Kong | Laiye | Laiye IDC | Intelligent Document Processing | 2020 | n/a | In 2020 China Mobile implemented Laiye IDC Intelligent Document Processing to automate document-heavy customer service and operations workflows across its telecom organization. The deployment supported more than 160 bots operating across over 150 automated scenarios, focusing on routine customer query handling and back-office document tasks described in the success story. The implementation concentrated on Intelligent Document Processing capabilities, including continuous document ingestion, optical character recognition, form extraction and classification, data validation, and orchestration of automated workflows that hand off to RPA bots for transactional execution. Laiye IDC was configured to extract structured data from telecom forms and service records, standardize key fields, and feed those outputs into downstream automated scenarios that resolved or escalated customer queries. Operational coverage spanned customer-facing contact center workflows and internal operations teams, embedding human review points for exceptions and establishing standardized extraction rules to reduce variation in processing. The deployment emphasized scenario-driven rollout, with individual automation flows and exception handling patterns governed at the process level to enable reuse across similar telecom customer service and operations scenarios. Reported outcomes included a reduction in repetitive manual work and improvements in handling speed and accuracy for telecom customer queries, reflecting the IDP usage within automated scenarios. Laiye IDC Intelligent Document Processing served as the document understanding layer that enabled broad RPA orchestration across China Mobile customer service and operations. | |
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Johnson & Johnson | Life Sciences | 138100 | $88.8B | United States | Laiye | Laiye IDC | Intelligent Document Processing | 2021 | n/a | In 2021, Johnson & Johnson implemented Laiye IDC, applying Intelligent Document Processing capabilities as part of a broader Laiye intelligent automation and conversational AI deployment for customer service and CRM operations. The engagement targeted digital service processes and customer communications to improve responsiveness and personalization in customer-facing workflows. The implementation combined conversational AI with document ingestion and classification, automated data extraction, and workflow orchestration typical of Intelligent Document Processing platforms. Laiye IDC was used to structure unstructured customer documents and route extracted information into service queues, enabling automated case creation and contextual conversational handoffs. Integrations focused on operationalizing document-derived data within customer service and CRM processes rather than on specific named systems. The deployment aligned Laiye IDC document processing output with conversational agents to support end-to-end service scenarios, reducing manual document triage and enabling more personalized customer interactions. Governance emphasized centralized orchestration of automation, exception management, and conversational response rules to manage accuracy and compliance in life sciences customer communications. The engagement is reported to have improved responsiveness and personalization in Johnson & Johnson customer service and CRM operations, reflecting Laiye’s positioning of integrated IDP within its intelligent automation platform for global healthcare customers. | |
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Zijin Mining China | Oil, Gas and Chemicals | 55690 | $42.3B | China | Laiye | Laiye IDC | Intelligent Document Processing | 2021 | n/a | In 2021, Zijin Mining China deployed Laiye IDC for Intelligent Document Processing within its Financial Shared Services Center to automate invoice and receipt handling for the finance and payables function. The implementation centralized document capture and routing, positioning Laiye IDC as the extraction and classification layer for inbound financial documents across shared services operations. Laiye IDC was configured to perform document extraction, classification, data capture and validation, and to drive exception handling workflows, reflecting standard Intelligent Document Processing capabilities. Configuration focused on invoice and receipt templates, automated field mapping to finance data models, and workflow orchestration to escalate exceptions and approvals to accounts payable teams. The deployment included integrations with the companys ERP systems to forward captured transactional data for posting and reconciliation, enabling automated handoffs between Laiye IDC and ERP-led payables workflows. Operational coverage was centered on the Financial Shared Services Center and the finance and payables business function, streamlining end to end document-to-ledger processing. Governance changes accompanied the rollout, with rule set management and exception governance instituted to control capture accuracy and downstream posting. Phase one outcomes included documented time savings of more than 700 hours per month and a measurable return on investment for the finance and payables organization, demonstrating the operational impact of Laiye IDC in Zijin Mining Chinas shared services environment. |
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