A Natural Language Interface for making Investment Decisions with Business Intelligence Chart and SQL Generation using LLMs
A Natural Language Interface for making Investment Decisions with Business Intelligence Chart and SQL Generation using LLMs The Challenge A investment bank aims to develop a Question Answering system capable of responding to natural language queries about stocks. Tatras utilized an open-source LLMs designed to transform natural language questions into valid SQL queries. This system […]
Invoice to Contract Reconciliation optimization using Vision, NLP and RAG
Invoice to Contract Reconciliation optimization using Vision, NLP and RAG The Challenge An organization requested a solution to process physical copies of invoice documents containing diverse content and structures. The objective is to extract text from these invoices and identify various elements, such as names or tags for entities, amounts, and other details related to […]
A LLM based customer service tool in complex engineering environments
A LLM based customer service tool in complex engineering environments The Challenge World’s leading specialist in water treatment needs to unlock the knowledge within a large repository of technical specifications, user manuals and product sheets to support their customers and customer service representatives/account managers in supporting issues with a customer installations. The objective is to […]
Intelligent Chatbot Authoring Platform using Sentiment Analysis & Neural Network
Intelligent Chatbot Authoring Platform using Sentiment Analysis & Neural Network The Challenge Well before the advent of Generative AI, our client (in 2016), identified an opportunity to disrupt chatbot technology by building an intelligent chatbot authoring platform. Platforms for chatbot creation, at the time, required significant crafting from chatbot authors and had limited domain definition […]
ML Based Optimization Model Of Merchandise Product Mix Using Neural Networks
ML Based Optimization Model Of Merchandise Product Mix Using Neural Networks The Challenge Our client, a popular retailer in the United States, wanted to increase revenue from each of their stores by improving merchandise effectiveness in their physical stores . They wanted to determine what products should be introduced, stored, or discontinued at each store […]
Improved Resource Allocation Based On Footfall Forecasting In Stores Using Neural Networks
Improved Resource Allocation Based On Footfall Forecasting In Stores Using Neural Networks The Challenge A leading electronics retailer in the Middle East invests in various forms of online advertising to increase footfall in their stores. The management wants to understand the impact of the different investments. They also want to forecast what footfall they can […]
Fashion Apparel Product Recommendation Engine With Automated Tagging and Consumer Preference Data
Fashion Apparel Product Recommendation Engine With Automated Tagging and Consumer Preference Data The Challenge A large fashion retailer in the UK wanted to build an online apparel fitting application as the manual effort in tagging dresses was fraught with inconsistency, errors and not efficient for online shoppers. The current process resulted in incorrect sizing and […]
Leveraging AI/ML In Ecommerce For Lifetime Value Analysis & Autonomous Bid Management System
Leveraging AI/ML In Ecommerce For Lifetime Value Analysis & Autonomous Bid Management System The Challenge A US-based ecommerce player, was facing a squeeze on profitability. Given rising cost of customer acquisition through digital marketing and having to drop prices due to competitive pressures, the firm wanted to optimize marketing spend on consumers with positive long-term […]
Digital Document Processing using Vision and NLP
Digital Document Processing using Vision and NLP The Challenge An American corporation, specializing in the sale of printing hardware and digital document products and services in over 160 countries, aims to develop comprehensive Intelligent Document Processing (IDP) solutions as microservices. The primary challenge involves the automatic identification of document types and the structured extraction of […]
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, […]