Enhancing Vendor Agreement Processing with LLMs

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Home Case Studies Transforming Vendor Agreement Processing with LLMs

82%

Reduction in manual processing time

75%

Increase in cloud integration efficiency

90%

Boost in vendor selection

About Client

The client is a real estate developer backed by a vast Middle-Eastern public investment fund dedicated to creating sustainable, technology-driven lifestyle destinations. Their efforts align with strategies to diversify the economy through sectors like tourism and entertainment. Moreover, their flagship project aims to significantly boost the non-oil GDP and create numerous jobs by 2030.

Unveiling Success

Enhancing Innovation and Addressing Operational Problems with Advanced Technology Solutions

The client sought a transformative solution to modernize their vendor agreements processing system, specifically focusing on using Large Language Models (LLMs). The aim was to enhance operational efficiency and reduce the reliance on manual processing of unstructured PDFs stored in Oracle Content Management Cloud. This strategic initiative was designed to improve data accessibility and accuracy, meet stringent service standards, and adapt to the complexities of managing extensive contractual data. By implementing a scalable LLMs architecture, the client intended to make their contract management processes more agile and effective, aligning with their long-term objectives for streamlined operations and digital transformation.

Challenges

Limited understanding of data hampering efficient data migration and analysis, causing delays in accessing crucial information
Inadequate assessment of GCP readiness challenges seamless cloud integration, risking operational agility
Complexities in accurate information extraction and question-answering impacting the quality and reliability of data-driven decisions

Solutions

Thoroughly analyzed data environment, improving access to critical information and accelerating decision-making
Upgraded the existing infrastructure for optimal GCP readiness, enhancing operational agility and transitioning to cloud
Built a chat interface for users to interact with the product with detailed prompt criteria to look for a vendor

Tools and Technologies Deployed

Maximizing Business Value

The Business Impact and ROI Realized Through Our Advanced Solutions

Enhanced Operational Efficiency

Significantly increased operational efficiency by reducing manual processing time and streamlining data migration. This improvement translated into faster access to critical information, enabling quicker decision-making processes and more agile operations.

Seamless Cloud Integration

Upgraded infrastructure for GCP readiness resulted in improved cloud integration efficiency. This seamless integration facilitated a smooth transition to cloud functionalities, enhancing the organization’s ability to adapt to evolving business needs and maintain operational agility.

Improved Vendor Selection

The introduction of a chat interface for vendor selection significantly boosted efficiency. This enhancement in vendor selection processes allowed for prompt and accurate responses to queries, ensuring that the client made more informed decisions, thereby enhancing the quality and reliability of vendor choices.

Why Kanerika?

Kanerika is a premier provider of data-driven software solutions and services that facilitate digital transformation. Specializing in Data Integration, Analytics, AI/ML, and Cloud Management, Kanerika prides itself on its expertise in employing cutting-edge technologies and agile methodologies to ensure exceptional outcomes. With a proven track record across various industries, Kanerika maintains rigorous quality standards, backed by ISO 27701 & 27001 certification, SOC II, and GDPR compliance. We are also CMMi Level 3 appraised, further accentuating our commitment to quality service delivery. As a distinguished partner of Microsoft, AWS, and Informatica, Kanerika’s commitment to innovation and strong partnerships positions it at the forefront of empowering businesses for their growth.

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