Revolutionizing Syngentas Packaging Information Management Syngenta with Acodis Case Study in Life Sciences (2)

 

Syngenta is a global company with headquarters in Switzerland. 30,000 employees, in more than 90 countries are working to transform how crops are grown and protected. It is a leading science-based agritech company that helps millions of farmers around the world to grow safe and nutritious food while taking care of the planet.

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Customer Success Story
Syngenta with Acodis Case Study
1-May-02-2024-01-34-17-2910-PM
Task

Establish a single source of truth for all product-related data, covering chemical substances, active ingredients, formulations, packaging details, and artwork information.

4-4
Scope

Over 70,000 pages of documents in 8
languages from over 20 countries.

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Key Benefits
Easy to use, intuitive, reduced
manual efforts, time-saving, increased efficiency.
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It is not enough to have information in PDFs to circulate within the business to have the data added on. This data needs to be available in a structured format and present in a database that you can enrich, transform, and make queries about. Then data can travel effectively through the enterprise’.”

Thomas Horn
Business Architect at Syngenta Crop Protection

Challenge

  • Syngenta, a global leader in agtech, has embarked on a transformative journey to centralize and streamline its packaging information management.

  • The company's program aims to establish a single source of truth for all product-related data,covering chemical substances, active ingredients, formulations, packaging details, and artwork information.
  • Previously, the packaging technology engineering community relied on static PDF files and MS Word documents as the primary sources of packaging information.

  • This decentralized approach led to data silos, inefficiencies, and manual efforts, hindering effective collaboration across global teams and with external partners.

Solution

  • To address these challenges, Syngenta leveraged the Acodis Intelligent Document Processing (IDP) solution. This cutting-edge technology enabled the extraction of data from over 70,000 pages of documents in 8 languages from 20 countries.

  • The extracted information was then transformed into a structured format, enriched with data from other sources, validated, and seamlessly integrated into the new CP Packaging IT solution.

  • The implementation of the Acodis solution brought about significant benefits, as highlighted by Thomas Horn, Program IT Lead at Syngenta Crop Protection. He emphasized the removal of existing data silos and the transformation of data into a shareable and presentable format, facilitating effective data exchange within the enterprise and its ecosystem.

  • The Acodis platform was lauded for its intuitiveness and ease of use by business users, empowering a diverse range of stakeholders, from expert engineers to temporary workers, to efficiently extract and utilize packaging data

Outcome

The impact of this initiative has been substantial, resulting in time-saving, increased efficiency, and a significant reduction in manual efforts.

By converting static documents into a machine-readable format, Syngenta has accelerated data migration processes, minimized errors, and optimized resource allocation.

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70,000

Pages of documents
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8

Languages
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20

Countries

Syngenta's commitment to leveraging innovative solutions such as Acodis IDP reflects its dedication to operational excellence and data-driven decision-making.

By centralizing packaging information and embracing digital transformation, Syngenta is poised to enhance collaboration, drive efficiency, and continue its mission to revolutionize global agriculture while ensuring sustainability and food safety.

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This webinar offers actionable insights from a real case study with Bayer Consumer Health and Capgemini Engineering.

Get the actionable insights how to build a data pipeline that efficiently extracts and transforms data from clinical trial studies, all without requiring coding expertise.

How does it apply to your documents? Book a discovery call.

During the discovery call:

 

  • Discuss your specific business challenges and needs
  • See how the AI data extraction platform works
  • Test the platform on example documents

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