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LEADING SUGAR PRODUCER STREAMLINES CONTRACT MANAGEMENT WITH GENERATIVE AI


CHALLENGES

Central America’s leading sugar producer has an annual production volume of over
1.2 million tons of sugar and by-products. The company maintains relationships
with hundreds of vendors and manages a complex supply chain.

As the company expanded operations over the years, the number of contracts under
management increased significantly, exceeding a thousand individual contracts
across various languages for a single location. Consequently, the company’s
procurement team is challenged in effectively managing and monitoring these
contracts.

Prior to engaging C3 AI, procurement analysts grappled with the manual
management of thousands of contracts in multiple languages. Tasks such as
information retrieval, contract term comparisons, and issue identification were
labor-intensive and time-consuming.


APPROACH

In pursuit of a technology-driven remedy, the company selected C3 Generative AI
for its robust enterprise access control, swift deployment capability, and
scalable architecture.

Over a 16-week period, the C3 AI team integrated over 600 contracts into a
unified knowledge source. This involved configuring translation pipelines for
multi-language support during data ingestion and inference, implementing
automated metadata extraction to facilitate explicit filtering during user
search, and fine-tuning the system for high response accuracy.

Leveraging C3 Generative AI, procurement analysts can swiftly and accurately
access specific insights, such as terms and conditions, timelines, and involved
parties, that previously required extensive manual effort. C3 Generative AI
enables effortless comparison of hundreds of contracts, identification of
overlaps in providers and services, and diligent tracking of compliance with
contract terms.

Since the initial deployment, the company has experienced over 80% response
accuracy and identified up to $5M in savings from accelerated contract
consolidation. Encouraged by these outcomes, the company is expanding the
deployment scope to include additional contracts and procurement analysts.
Furthermore, the company is also implementing additional use cases to fully
harness the transformative capabilities of C3 Generative AI across its
operations.

ABOUT THE COMPANY

 * Leading producer of sugar, molasses, alcohol, and other sugarcane by-products
 * 4 facilities in three countries
 * 8,000+ FTEs
 * $1B+ revenue

PROJECT OBJECTIVES

 * Streamline contract management including monitoring compliance with contract
   terms and ensuring timely service levels.
 * Easily identify overlapping vendors and services for consolidation across
   hundreds of contracts.

PROJECT HIGHLIGHTS

 * Multi-lingual (Spanish and English) interaction support, both at document
   ingestion and querying
 * 600+ vendor contracts (unstructured text data) integrated
 * Support explicit filtering to identify specific contracts manually
 * Configured and fine-tuned a novel RAG (retrieval augmented generation) system
   on specific company data




RESULTS

$5M
potential savings from contract consolidation
>80%
accuracy of responses generated
2
languages supported simultaneously
600+
contracts integrated via data ingestion and translation pipelines




SOLUTION ARCHITECTURE




PROVEN RESULTS IN WEEKS, NOT YEARS

Get insights into C3 AI’s capabilities, enterprise AI best practices, and
highest-value use cases.
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architecture, and test it against your company's sample data set.
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rapidly build an AI application that solves it.
Scale and deploy a tested C3 AI application into production. Incorporate user
feedback and optimize algorithms to drive maximum economic value.


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