Business & Industry
27 verified cases, highest-rated first.
Industries: financial fraud detection 2, consumer lending 2, credit risk 2, logistics 1, credit risk / banking 1, financial services 1, manufacturing automation 1, e-commerce search 1, telecom customer service 1, carbon markets 1, consumer banking 1, banking / credit risk 1
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Optimizing fraud detection in financial transactions with machine learning and imbalance mitigation
Financial fraud is rising with digital payments, and fraud detection systems need improved predictive performance.
Business & Industry · 2024 · ai assisted · 7/10 importance
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Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows
Logistics providers struggle to plan same-day deliveries: stochastic optimization is too slow online and reinforcement learning struggles with high-dimensional combinatorial problems.
Business & Industry · 2024 · solved · 6/10 importance
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Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation
Financial institutions need credit default prediction models that are both accurate and interpretable for risk management.
Business & Industry · 2024 · partially solved · 6/10 importance
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Ensemble-Based Machine Learning Algorithm for Loan Default Risk Prediction
Financial institutions need to accurately predict whether a borrower will default on a loan in order to reduce losses and maintain profitability.
Business & Industry · 2024 · ai assisted · 6/10 importance
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BloombergGPT: A Large Language Model for Finance
No large language model specialized for the financial domain had been reported, despite broad NLP use in finance.
Business & Industry · 2023 · solved · 6/10 importance
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A review of the applications of multi-agent reinforcement learning in smart factories
Smart factories must make large numbers of real-time, optimal decisions for machines and material handling despite dynamic, unpredictable events that cannot all be foreseen.
Business & Industry · 2022 · ai assisted · 6/10 importance
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Search Personalization Using Machine Learning
Optimally ranking search results on websites using consumers' search and click history.
Business & Industry · 2020 · partially solved · 6/10 importance
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Design of a large language model for improving customer service in telecom operators
Telecom operators must improve customer service quality and reduce operational costs while preserving customer privacy.
Business & Industry · 2024 · ai assisted · 5/10 importance
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A Multifrequency Data Fusion Deep Learning Model for Carbon Price Prediction
Carbon trading prices are nonlinear and driven by feature factors arriving at inconsistent frequencies, making accurate prediction difficult for market participants and regulators.
Business & Industry · 2024 · ai assisted · 5/10 importance
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Improving Credit Risk Assessment through Deep Learning-based Consumer Loan Default Prediction Model
Banks need to identify which consumer loan applicants are likely to default, to reduce credit losses and speed up borrower review.
Business & Industry · 2023 · partially solved · 5/10 importance
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Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction
ML algorithms improve credit default prediction but introduce new model risks, and uncertainty about how supervisors assess these risks may block innovation.
Business & Industry · 2022 · ai assisted · 5/10 importance
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Financial Fraud Detection of Listed Companies in China: A Machine Learning Approach
Financial report fraud among Chinese listed companies is growing in number, complexity, and concealment, requiring faster detection using only structured financial report data.
Business & Industry · 2022 · ai assisted · 5/10 importance
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Assessment of Support Vector Machine performance for default prediction and credit rating
Banks need reliable prediction of customer default probability, a key focus of Basel regulations.
Business & Industry · 2022 · ai assisted · 5/10 importance
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A machine learning approach for individual claims reserving in insurance
Insurance companies must accurately estimate outstanding claim liabilities, traditionally done with aggregate run-off triangle models rather than individual claims data.
Business & Industry · 2019 · ai assisted · 5/10 importance
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Credit Card Default Prediction: An Empirical Analysis on Predictive Performance Using Statistical and Machine Learning Methods
Predicting which credit card holders will default, and whether machine learning beats traditional statistical methods, using Taiwan UCI data.
Business & Industry · 2025 · ai assisted · 4/10 importance
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Financial Statement Fraud Detection Through an Integrated Machine Learning and Explainable AI Framework
Detecting financial statement fraud is hard under weak regulatory oversight, information asymmetry and severe class imbalance.
Business & Industry · 2025 · partially solved · 4/10 importance
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Fabric Defect Detection in Real World Manufacturing Using Deep Learning
Detecting fabric defects automatically in real production settings where datasets are noisy and both plain and printed fabrics occur.
Business & Industry · 2024 · ai assisted · 4/10 importance
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Application of Advanced Deep Learning Models for Efficient Apple Defect Detection and Quality Grading in Agricultural Production
Apple defect detection and quality grading in agricultural production requires automated, accurate monitoring of fruit quality.
Business & Industry · 2024 · partially solved · 4/10 importance
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Machine learning techniques for default prediction: an application to small Italian companies
Predicting loan default of small Italian companies, traditionally handled with statistical classifiers such as logistic regression.
Business & Industry · 2023 · ai assisted · 4/10 importance
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Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting
New energy vehicle enterprises need accurate demand forecasting as a decision-making basis.
Business & Industry · 2023 · ai assisted · 4/10 importance
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A novel deep learning model based on convolutional neural networks for employee churn prediction
Companies suffer performance losses when valuable employees quit, so they need systems that predict employee churn in advance.
Business & Industry · 2021 · ai assisted · 4/10 importance
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Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending
Lenders in peer-to-peer lending need to know which machine learning approach best predicts borrower default risk.
Business & Industry · 2021 · ai assisted · 4/10 importance
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Potato Surface Defect Detection Based on Deep Transfer Learning
Potato surface defect detection is challenging due to irregular potato shapes and various defect types, and is crucial for automating food production and processing.
Business & Industry · 2021 · solved · 4/10 importance
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Machine learning methods for short‐term bid forecasting in the renewable energy market: A case study in Italy
Energy providers need to predict next-day total wind energy bid volumes in Italy's day-ahead market to size bids and manage network imbalance.
Business & Industry · 2018 · ai assisted · 4/10 importance
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Forecasting Demand in Supply Chain Using Machine Learning Algorithms
Big retail stores struggle to predict customer demand for most items in multi-level supply chains.
Business & Industry · 2015 · ai assisted · 4/10 importance
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Predicting Online Shopping Behavior: Using Machine Learning and Google Analytics to Classify User Engagement
Online retailers need to classify user engagement levels from Google Analytics metrics to improve digital marketing decisions.
Business & Industry · 2024 · ai assisted · 3/10 importance
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Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines
Predicting cryptocurrency exchange rates is difficult because financial markets are non-linear and disordered.
Business & Industry · 2022 · partially solved · 3/10 importance