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Alibaba Cloud Healthcare Singapore

Cordis

Data Lake / Data Warehouse Modernization · Document Processing · Supply Chain Optimization

After receiving our products, distributors in China often request technical documentation, customs import declarations, and inspection & quarantine certificates. In the past, the China commercial team would forward these requests to assistants, who then had to coordinate with supply chain colleagues to obtain the required documents from customs authorities and logistics partners. The assistants also needed to manually match each document with the corresponding lot information in the system and record this linkage in excel for index reference.

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Reported impact

Business outcome

Already deployed across 1000+ distributor users in China, the platform is delivering measurable impact: Improved service level from Days manual passive request to Minutes self-service Released two dedicate human resources from this manual service Operational efficiency by reducing supporting function workload and streamlining processes

  • Productivity Improvement

Solution

Cordis used Alibaba Cloud to address After receiving our products, distributors in China often request technical documentation, customs import declarations, and inspection & quarantine certificates. In the past, the China commercial team would forward these requests to assistants, who then had to coordinate with supply chain colleagues to obtain the required documents from customs authorities and logistics partners. The assistants also needed to manually match each document with the corresponding lot information in the system and record this linkage in excel for index reference. Cordis is a global leader in the development, manufacturing, and commercialization of innovative medical devices for the diagnosis and treatment of cardiovascular diseases.

Data flow

Cordis's workloads and source data are processed on Qwen, Model Studio persist to AnalyticDB.

Solution architecture

3 components · 2 layers
  1. Compute
    • Qwen Leveraging the Qwen LLM within Model Studio AI platform and Mobi low-code interface integrate with the China operation related data within Alibaba Cloud
    • Model Studio Leveraging the Qwen LLM within Model Studio AI platform and Mobi low-code interface integrate with the China operation related data within Alibaba Cloud
  2. Storage
    • AnalyticDB Leveraging the Qwen LLM within Model Studio AI platform and Mobi low-code interface integrate with the China operation related data within Alibaba Cloud

Architecture clues

  • Leveraging the Qwen LLM within Model Studio AI platform and Mobi low-code interface integrate with the China operation related data within Alibaba Cloud AnalyticDB
  • Primary customer region: Singapore
  • When AI capabilities were needed, we chose Qwen AI for its outstanding performance and the Model Studio AI platform for its comprehensive Model-as-a-Service (MaaS) capabilities and robust features in China

Evidence from the source

After receiving our products, distributors in China often request technical documentation, customs import declarations, and inspection & quarantine certificates.
In the past, the China commercial team would forward these requests to assistants, who then had to coordinate with supply chain colleagues to obtain the required documents from customs authorities and logistics partners.
Leveraging the Qwen LLM within Model Studio AI platform and Mobi low-code interface integrate with the China operation related data within Alibaba Cloud AnalyticDB.
The assistants also needed to manually match each document with the corresponding lot information in the system and record this linkage in excel for index reference.
This process is extremely time-consuming and labor-intensive, making it difficult to respond promptly to various requests.
Transparency Evidence & methodology 70/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value70/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Alibaba Cloud

    Cordis customer story

    First-party
    https://www.alibabacloud.com/customers/cordis
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Mar 24, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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