Churn Analysis Modeling For Early Detection of Client Attrition And Pro-Active Marketing Efforts
Churn Analysis Modeling For Early Detection of Client Attrition And Pro-Active Marketing Efforts The Challenge A large mobile telephony provider in Ireland had a problem. The cost of acquiring a customer was higher than the profit they made on a customer if the customer stayed with the company for less than 18 months. The company […]
Video Analysis for Logo Analysis using Deep Learning based Vision Models
Video Analysis for Logo Analysis using Deep Learning based Vision Models The Challenge Our client, a startup in the space of sports analytics, wanted to build a tool to provide quantitative feedback to marketers on the exposure they receive in return for their marketing spend at sporting events and its associated Video coverage. They also […]
Deep Learning to count manufacturing throughout using video analysis
Deep Learning to count manufacturing throughout using video analysis The Challenge Our client, a large towel manufacturing company needs to optimise throughput from their stitching tables. They had installed cameras to but needed a solution to use the video data to monitor employee breaks and automatically count the through put of each stitching table. Hypothesis […]
Identifying metal coupon types with Visual Classification
Identifying metal coupon types with Visual Classification The Challenge A leading specialist in water treatment needs to build a mobile application to capture images of metal coupons planted in RO systems and detect their composition. Further identification of corrosion types per composition will be executed. Tatras has been given the responsibility to build a ML […]
Smart Storage Forecasting: Optimizing Reorders Based on Tank Usage Patterns
Smart Storage Forecasting Optimizing Reorders Based on Tank Usage Patterns The Challenge A leading specialist in water treatment needed a predictive system that determines the optimal reorder time for tank-stored chemicals, balancing complex constraints. These include batch-only ordering, strict tank level limits, and a 28-day delivery lead time. The system must accurately forecast consumption patterns […]
A vision-based AI system for detecting corrosion in metal alloys
A vision-based AI system for detecting corrosion in metal alloys The Challenge A leading specialist in water treatment needed a method to identify tank maintenance at customer sites to increase proactive maintenance of their infrastructure. The current process was time consuming and often led to costly errors. The solution was a mobile application to capture […]
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 […]
Root Cause Analysis for deviation in fault rate in high precision Manufacturing
Root Cause Analysis for deviation in fault rate in high precision Manufacturing The Challenge Our client, a global leader in data storage solutions, had a problem in their manufacturing unit. They were experiencing high variance in failure rate of disks produced, from one day to the next. This caused losses due to scrapping as well […]
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 […]