Transcription to Job Requirement Matching using LLMs and NLP
Transcription to Job Requirement Matching using LLMs and NLP The Challenge An important part of the recruitment process is the interview. An inherently manual process, Tatras aimed to automate the reporting on interviews by analyzing candidate interview transcripts to improve consistency and accuracy in reporting of candidate fit. It allows for the identification of any […]
AI for Independent Authoring using LLMs with augmented knowledge bases
AI for Independent Authoring using LLMs with augmented knowledge bases The Challenge A leading platform for supporting independent authors attaining better outcomes for the books they publish, recognized the need for technology to scale their business. In particular, transforming authors into authorpreneurs was identified as one of the key deficiencies in an independent author’s journey […]
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 […]
Building AI to drive B2B marketing through the Integration of Content Intelligence, Recommendation and Conversational Agents
Building AI to drive B2B marketing through the Integration of Content Intelligence, Recommendation and Conversational Agents The Challenge A leading SaaS platform for B2B marketing in the US, aims to nurture prospects, improve content performance by delivering intelligent content experiences and virtual events across the buyer’s journey and improve win rates. Tatras Data was asked […]
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 […]
Generative AI/LLM Based Customer Service and Advanced Product Recommendation Engine For Ecommerce
Generative AI/LLM Based Customer Service and Advanced Product Recommendation Engine For Ecommerce The Challenge A startup in the US aimed to provide boat owners with expertise on boat and engine maintenance through use of a GenAI based chatbot. The firm also aimed to generate revenue through highly personalized product recommendations for boat maintenance items in […]
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 […]
Predicting In-Store Promotion Effectiveness Linked To Macro Marketing Campaigns
Predicting In-Store Promotion Effectiveness Linked To Macro Marketing Campaigns The Challenge A leading electronics retailer invests in marketing to increase the footfall in their stores. In-store promotions then try to convert visitors to buyers and increase the value of their basket. The company wanted to predict the effectiveness of different campaigns given the marketing campaigns […]
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 […]