Tag AzureOpenAI
Automatic Invoice Processing by AI
Our fifth case study is about our AI powered Automatic Invoice Processing. It addresses a critical need in the building construction industry, particularly in the realm of financial and accounting operations. This case study highlights how we transformed a time-consuming manual process into a streamlined, automated solution.
Case Study Details:
About the Client:
The customer is a leading solution and service provider in the building construction industry. Their service offerings include financial and accounting back-office operations, specifically data entry and processing of supplier invoices into a Financial ERP system.
Business Challenge:
After Optical Character Recognition (OCR) processing, the task of assigning cost elements and accounts to supplier invoices was previously a manual process, requiring detailed analysis of descriptions. This labor-intensive task was prone to errors, and posed challenges in terms of efficiency and scalability. Accurate cost assignments are essential for gaining visibility into project costs and cost breakdowns.
Solution:
We implemented a Natural Language Processing (NLP)-based recommendation system designed to extract article information from the invoice descriptions and recommend the appropriate account to be assigned. The solution leveraged Generative AI models from Azure OpenAI and utilized Vector databases to automate the task.
This AI-driven approach not only improved efficiency but also helped reduce manual errors in account assignments.
Tools & Technology:
For our AI powered Automatic Invoice Processing solution we used:
- LLM (Large Language Models)
- NLP
- Azure OpenAI
- Feedback loops implementation
- EC2, FastAPI, Python, React JS
- S3, SQL Server
Results:
- Optimized supply chain processes, leading to greater operational efficiency.
- Reduced costs and minimized waste, ensuring more accurate financial records.
- Increased revenues and profitability by streamlining the invoicing process.
At Pratham Software GmbH, we specialize in creating AI-driven solutions that tackle industry-specific challenges, automate processes, and boost profitability. This is just another example of how our AI expertise can transform your back-office operations and make your business more efficient.
Stay tuned for more innovative case studies as we continue to demonstrate how AI can be harnessed to bring tangible business value. Interested in transforming your financial operations with AI? 💡 Contact us today to explore how Pratham Software GmbH can help streamline your business processes.
More Case Studies
Apart from today’s case study about Train Rolling Inspection & Alerting by AI please check:
Third Case study: Centralized Chatbot with Azure open AI
Today, we’re proud to share a further third case study of Pratham Software GmbH. It is about “A Centralized Chatbot with Azure OpenAI”. Indeed a powerful AI solution for a global freight service platform.
Case Study Details of Centralized Chatbot with Azure open AI
About the Client:
Our customer operates a freight service platform catering to businesses worldwide through a franchise and distributor model. Consequently they manage a large volume of support inquiries and requests via online tickets which are handled by a team of support analysts in their CRM platform.
Business Need:
The customer needed a centralized solution to consolidate support-related information from multiple sources to provide users with accurate, efficient responses. The goal was to streamline access to information, reduce response times, and elevate the customer support experience.
Solution:
To address these challenges, we implemented a Centralized Chatbot solution using Azure OpenAI’s Bring Your Own Data (BYOD) chat feature. This solution works very well because it consolidates all information sources—FAQs, articles, and guides into a central search index. We used Azure AI Search and Azure’s pre-built functionalities for information retrieval so that the chatbot could efficiently generate accurate responses, streamlining support and improving user experience.
The solution of a Centralized Chatbot with Azure open AI was realized using Azure OpenAI Chat BYOD, Azure AI Search, Azure AI Services, and developed with Python Quart and React JS.
Results:
- We reduced support tickets by 30% and allowed the support team to focus on more complex queries.
- We also improved scalability of support operation. Consequntly it became easier to handle growing customer needs.
- We achived enhanced customer experience and provided faster and more accurate responses to inquiries.
Whether you’re looking to automate processes, analyze large datasets, or enhance decision-making through AI, Pratham Software GmbH is here to support your journey with our tailor-made solutions.
Stay tuned as we continue to showcase more AI case studies, demonstrating how our innovative solutions are driving efficiency and success across industries. Please study our case study 1 about Automatic Sampling of BIM Description and case study 2 about Loan Default Early Warning
Ready to harness the power of AI for your business? 💡 Contact us today to explore how Pratham Software GmbH can be your trusted partner in AI transformation.
