Tag AIinGermany
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:
Train Rolling Inspection & Alerting by AI
Here is part 4 of our ongoing AI case studies. Pratham Software GmbH is thrilled to showcase our next AI-driven solution, Train Rolling Inspection & Alerting by AI. Our expertise continues to power innovations across various industries, and today we focus on a groundbreaking project in the railway sector. In this case study, we partnered with the world’s largest railway network to develop a cutting-edge solution for improving train safety and operational efficiency through automation.
Case Study Details:
About the Client:
The customer is the largest railway network in the world, operating thousands of trains daily. The Train Rolling Safety Evaluation (TRSE) system plays a critical role in ensuring both passenger safety and asset security. Traditionally, this has been a manual operation involving visual inspection to detect faults in moving trains near stations, prompting corrective actions.
Business Need:
With the rollout of faster trains like Vande Bharat, detecting faults manually was becoming increasingly impractical. As train speeds increased, the need for automatic fault detection became essential to maintain safety and efficiency.
Solution:
We designed an innovative solution using track-side cameras and advanced computer vision models to automatically collect and analyze visual data, detecting faults in real-time and raising alerts instantly.
Software tools
A Proof of Concept (POC) was successfully carried out to demonstrate the solution’s effectiveness, and based on its success, a pilot program is now planned.
The solution was powered by:
- AWS Kinesis Stream
- AWS Kinesis Firehose
- AWS S3
- AWS SageMaker
- AWS Ground Truth
- Rolo Flow, Yolo, MXNet, TensorFlow
Results
- Improved passenger safety through real-time fault detection.
- Reduced travel time, ensuring trains operate efficiently.
- Reduced maintenance time due to early detection of issues, allowing for proactive action.
At Pratham Software GmbH, we are dedicated to delivering AI-driven solutions that tackle complex industry challenges and drive innovation. Our AI expertise is helping businesses enhance safety, streamline operations, and unlock new efficiencies.
Stay tuned for more case studies as we continue to highlight how AI can reshape industries. Is your business ready to embrace the future with AI? 💡 Get in touch with us to explore how Pratham Software GmbH can help you leverage AI for operational excellence. Apart from today’s case study about Train Rolling Inspection & Alerting by AI please check our case study 1 about Automatic Sampling of BIM Description and case study 2 about Loan Default Early Warning and case study 3 about a centralized Chatbot with Azure OpenAI
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.
Second Case Study of Pratham Software AI Service
How AI has helped a bank saving millions of Euros by Loan Default Early Warning
Our second case study is about Loan Default Early Warning. The AI powered solution has helped our client saving millions of Euros. We delivered an advanced entity scoring and fraud detection system. The solution is powered by a sophisticated machine. It is a learning solution that integrates NLP (Sentiment Analysis), Clustering (DBSCAN), Isolation Forest, Neo4j, Python, Pandas, Sci-Kit Learn, and several third-party API data integrations.
Loan Default Early Warning by AI Case Study Details:
📌 Context:
Our customer operates in the integrity risk analytics space. This means that they are focusing on monitoring the creditworthiness of borrowers. Their advanced platform was designed to assist them in making well-informed decisions by offering comprehensive analytical and collaborative insights.
📌 Business Need:
The client required an effective solution to monitor borrower accounts continuously and identify opportunities for de-risking. This involved the early detection of potential financial stress in borrower accounts, providing near real-time signals and alerts to ensure prompt action.
📌 Solution:
We delivered an advanced entity scoring and fraud detection system that provided comprehensive borrower business insights using multiple models. This included creating relationship graphs, transactional and temporal analysis. Further on it contained sentiment and sensitivity assessment, trend analysis, exposure evaluations, spatial mapping, project Expected Value (EV), Binford analysis, and forensic investigations. By leveraging these insights, the system was able to raise early warnings of potential loan defaults. In this way aiding credit players in mitigating risks and making proactive, informed decisions.
Pratham Software GmbH
Whether you’re looking to automate processes, analyse 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 roll out more case studies in the coming weeks, showcasing how our AI solutions are driving efficiency, accuracy, and innovation across industries. Please also read our first case study about Automatic Sampling of BIM Description.
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.
First Case study of Pratham’s AI services
Today we announce the launch of our AI services in Germany, bringing cutting-edge solutions to clients across various industries. Stay tuned as we unveil our groundbreaking work portfolio showcasing the transformative power of AI. Let’s explain details of our AI solution with Automatic Sampling of BIM Description.
Automatic Sampling of BIM Description
✨ Introducing Our First Case Study: „Automatic Sampling of BIM Descriptions“ powered by Gen AI & NLP. Our innovative solution optimizes Building Information Modeling (BIM) processes, enabling businesses to extract valuable insights from complex data.
– Context: In the building construction industry, manual mapping of project LVs to BIM models posed challenges in efficiency and accuracy.
– Business Challenge: The error-prone manual process hindered project planning, highlighting the need for intelligent automation.
– Solution: Our advanced algorithm automates the mapping between BIM objects and project LVs, enhancing efficiency, accuracy, and scalability.
Result:
By automating this critical process, we have boosted efficiency, reduced dependency on manual expertise, and improved project productivity. Our customers have seen significant benefits including better cost visibility, reduced project risks, and a 50% increase in productivity.
Looking to streamline processes, analyze large datasets, or enhance decision-making with AI? Pratham Software GmbH is probably the best partner you can find for AI transformation. Contact us today to explore tailor-made solutions for your business.
Please follow our series of AI case studies. The second case about „loan default early warning“ is available here:
