NLP based Market Analysis and Matchmaking between Suppliers and Government Demand
NLP based Market Analysis using ML and Data Analytics The Challenge A US-based organization is developing a platform for federal government supply and demand market analysis, aimed at streamlining the procurement recommendation process. The platform is designed to meet the diverse expectations of stakeholders such as government procurers, government primes and venture capitalists (VCs), while […]
Intelligent Customer Service Agent for Enterprise and Open-World Data with Explanations and Citations
Intelligent Customer Service Agent for Enterprise and Open-World Data with Explanations and Citations The Challenge A leading consultancy required the development of a general QA agent capable of handling both enterprise and open-world data. The agent needed to understand the nature of each query, determine the appropriate steps to generate a reasonable response, and provide […]
Candidate Ranking optimization leveraging Candidate Resume and Job Description using Neural Networks
Candidate Ranking optimization leveraging Candidate Resume and Job Description using Neural Networks The Challenge In 2021-22, an HRTech client sought a recruitment assistance solution designed to parse resumes, rank candidates according to job descriptions, and extract key insights from interview transcripts. Tatras delivered a comprehensive backend solution addressing all these needs, utilizing classical Computer Vision, […]
Candidate Ranking using a Job Description using Neural Networks
Candidate Ranking using a Job Description using Neural Networks The Challenge It is challenging to source candidates for a given job profile especially when it comes to leadership roles for an organization. One has to align the candidate personal and leadership skills to see whether he/she is a right fit for the organization. We use […]
Document Vetting for Credit Risk using Open Source LLMs
Document Vetting for Credit Risk using Open Source LLMs The Challenge A financial institution faced challenges with a cumbersome and costly process to validate bank statements for loans and credit. This included checks for monthly transactions, a three-month transaction history, recent activity, and meeting specified minimum account balance requirements. Tatras created a GenAI based streamlined […]
Customer Segmentation based Customized Product Recommendation using Unsupervised Learning and LLMs
Customer Segmentation based Customized Product Recommendation using Unsupervised Learning and LLMs The Challenge A financial institution aimed to group customers based on diverse characteristics such as demographics, behaviors, hobbies etc. The goal was to identify various customer segments to understand their unique traits. To address this challenge, Tatras was tasked with creating a solution using […]
Identify potential Money Laundering from transaction history using Graph Databases and LLMs
Identify potential Money Laundering from transaction history using Graph Databases and LLMs The Challenge A financial institution aims to build a system to detect money laundering patterns and unusual transactions. The challenge lies in the complexity of the problem, which goes beyond a straightforward ML-based approach. Analyzing factors such as past transactions and transaction recipients […]
Fraud Investigation using LLMs and Graph Databases
Fraud Investigation using LLMs and Graph Databases The Challenge A company aims to develop a question answering system for fraud investigators to detect factors leading to fraudulent transactions from fraud data. The challenge lies in transactions possibly sharing relationships among them. To address this, Tatras developed a solution using network graphs and GenAI, significantly enhancing […]
Cross Selling Products using LLM driven Machine Learning
Cross Selling Products using LLM driven Machine Learning The Challenge A financial company wanted to develop a Customer Targeting system for campaigns like attrition, upselling, and cross-selling services such as credit cards. Tatras developed a solution that leverages AutoML and GenAI capabilities, where users simply upload customer’s past data on transactions, investments, banking, etc., and […]
Vintage Curve Analysis for Credit Risk using Natural Language Queries using LLMs
Vintage Curve Analysis for Credit Risk using Natural Language Queries using LLMs The Challenge A financial institution wanted to build a question-answering system capable of responding to natural language queries. This system would leverage bank loan dataset to generate responses and was to draw the Vintage Curve for given queries. Tatras used an open-source large […]