Revolutionizing Business Operations with Generative AI
SITUATION:
In the competitive world of global beverages, efficiency and innovation are essential for maintaining leadership. Arsiv Software Solutions partnered with a leading beverage brand to harness the power of Generative AI, transforming their approach to document management and data extraction.
The client, relying on an Enterprise Content Management (ECM) platform, faced obstacles in leveraging insights from their vast collection of unstructured data. With multiple brands and inconsistent invoice formats, tracking and managing orders became complex, often resulting in inefficiencies and unintended costs. The situation was compounded by an increasing volume of multilingual documents, making it challenging to ensure efficient data access across the organization.
Our AI-driven solutions have redefined their document management, setting a new industry standard for productivity and operational clarity.
SOLUTION:
To address these challenges, Arsiv Software Solutions implemented four cutting-edge Generative AI tools: Invoice Scanner, Document Summarizer, Document Translator, and Document Chat. These solutions transformed document handling and streamlined workflows, delivering enhanced productivity, accuracy, and seamless user experiences.
1. Invoice Scanner
- Data Extraction: Employs advanced OCR and AI models to extract and categorize invoice data with high precision.
- Document Processing: Processes varied invoice formats through a custom Intelligent Document Processor.
- Validation: Utilizes a Human-In-The-Loop (HITL) system to verify and correct AI-generated outputs, ensuring accuracy.
2. Document Summarizer
- Summary Generation: Leverages AI language models to distill essential information, creating concise summaries for quick insights.
- Output Storage: Summaries are stored in a ‘Too Long; Didn’t Read’ (TLDR) format for easy retrieval and review.
3. Document Translator
- Translation Mechanics: Integrates multilingual AI models, tailored for language nuances and industry-specific jargon, to translate documents accurately.
- Custom Vocabulary Support: Provides precise translations by adapting to industry jargon and specific terminology.
4. Document Chat
- Document Interaction: Allows users to query documents in natural language, with segmented document processing for efficient retrieval.
- Response Generation: Uses AI to retrieve and present answers in a human-like, context-aware format, enhancing user interaction with documents.
Technology Stack: Python, FastAPI, Celery, Azure OpenAI API, React, Docker, Azure
OUTCOMES:
This AI-powered framework brought significant productivity gains:
- Invoice Scanner: Reduced manual invoice processing errors and improved tracking.
- Document Summarizer: Boosted productivity by enabling quick access to essential information.
- Document Translator: Enhanced global collaboration through seamless multilingual communication.
- Document Chat: Improved the user experience and streamlined document handling, serving as a valuable assistant for customer support.
Results showed a 40% reduction in document handling time and a 20% decrease in manual errors. Furthermore, improved invoice tracking led to a 20% reduction in customer complaints, raising the bar for operational efficiency in the industry.
Future Enhancements:
Arsiv Software Solutions is committed to continual innovation. Future enhancements include:
- Multi-Modal Support: Integrating text, tables, and images for a more comprehensive understanding.
- Hybrid RAG for Document Chat: Using Retrieval-Augmented Generation (RAG) with knowledge graphs to improve accuracy.
- Dynamic Prompt Databases: Creating databases of prompts that adapt to input data, ensuring more tailored and effective AI interactions.
These advancements aim to further reduce handling times, boost productivity, and refine customer experience, helping to decrease churn and lower unnecessary costs. Arsiv Software Solutions is proud to lead in Generative AI innovation, driving substantial business impact and long-term success.
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