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 […]
Improve Power Generation Forecasting by Neural Networks & Time Series Forecasting
Improve Power Generation Forecasting by Neural Networks & Time Series Forecasting The Challenge A wind farm in Europe, supplying power to the electric grid was having a high margin of error of 30% in its output prediction, resulting in high penalty to the grid. ( Errors greater than 10% incurred a penalty ). They needed […]
Chatbot optimization for college student questions with LLM
Chatbot optimization for college student questions with LLM The Challenge To design a scalable retrieval bot capable of efficiently answering a wide range of student questions from a database. It involved training custom models to ensure high accuracy and relevance, while also managing the complexities of deployment on AWS SageMaker. Ensuring the system could handle […]
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 […]
Country Financial investment selection using LLM based SQL Generation and RAG
Country Financial investment selection using LLM based SQL Generation and RAG The Challenge A financial research platform sought to develop a solution for processing large-scale financial reports and economic documents to forecast various country specific macro economic factors, along with conducting sentiment analysis on the forecasts. Additionally, they required the development of a chatbot capable […]
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, […]