• Sales Forecasting Models for Paint and Furnishing Products 

  Sivaloganathan, Jayanthan (2022)

  " This project focuses on creating machine learning and deep learning algorithms or models to forecast sales quantity with higher accuracy for the next 12 months. The current forecast process is not as accurate as ...
• Rare event predictive modelling approach to identify potential customers with high intensity to purchase fixed broadband packages in UWV company 

  Perera, Chankami (2022)

  Perera, Chankami (2022) Rare event predictive modelling approach to identify potential customers with high intensity to purchase fixed broadband packages in UWV company . MSc. Dissertation, Informatics Institute of Technology
• Predictive Model to Detect Suspicious Transactions to mitigate the money laundering risk in the Non Banking Finance Industry 

  Amuwattage Don, Dulan (2022)

  In this paper, the researchers have studied the money laundering risk in the non-banking finance industry (NBFI) due to high amount of non-compliance incidents reported by the Central Bank of Sri-Lanka (CBSL). This has led ...
• Detection of Fraud Invoices using Image Classification | Case Study on Healthcare Invoices 

  Perera, Nipuni (2022)

  "The insurance organizations, need to manage invoices, and transactions regarding healthcare insurance, among others. Customers those who are insurance holders need to hand over the invoices to the agents of the insurance ...
• Comparison of Machine Learning Techniques in Demand Forecasting for Imported Food Items in Retail Industry: A Study on a Supermarket Chain in Sri Lanka 

  Gunasekera, Lakna (2022)

  "Managing consistent product availability of imported food items while cost effectively managing inventory is a challenge for supermarket chains. This has been a real challenge with the number of macroeconomic factors ...
• Predictors of life insurance policy lapsation 

  Jayasumana, Subhashi (2022)

  "Human life is the most valuable asset, and life insurance can be considered as the most vital sort of insurance since it protects a person's family financially in the event of unforeseeable dangers. However, Life insurance ...
• Predictive model to identify airline no-show rate based on Sri Lankan context 

  Mohamed Sahab Nisthar, Mohamed Shabir (2022)

  "In this research we have examined the effect on No-Show of airline passengers with multiple variables, where we have given the introduction on to the issues related to No-Show and the airlines struggles in the 21st ...
• Machine learning approach to predict mental distress of IT workforce in remote working environments 

  Gamage, Sanduni (2022)

  Abstract - When considering online workers, due to the emergence of the coronavirus pandemic prevailing in the world, employees have been restricted to work remotely for a prolonged period. All the working arrangements are ...
• Lease default prediction in Sri Lankan banking industry 

  Rajapakse, Saviru (2022)

  "Banks play a vital role in an economy as a financial intermediary, where it operates between depositors and borrowers. Deposits flow in to the bank flow out as loans, in the process banks make profits mainly from the ...
• Analyzing the sentiment of social media images in hospitality domain using object identification on caption generation 

  Boda Hennadige, Sandaru (2022)

  "With the advancement of hardware and the stepping up of social media worldwide, the number of images and videos shared on these platforms has increased massively. Therefore, organizations that are interested in their brand ...
• Implementation of a Data Warehouse and BI system 

  Salih, Shaheen (2022)

  "Companies that operate with many customers and processes invariably create large amounts of data. The utilization of this data is important when analysing and conducting operations of the business and how this can be ...
• Identification of suspicious sale agents using machine learning techniques : a study based on product sales on Telco company 

  Gunasegaram, Chulaxshan (2022)

  "During the last decade, machine learning technology has accelerated the development of Predictive analytics, Anomaly detection, and forecasting. There are more than thousands of telecommunication companies in the ...
• Prediction of Telco Customer's Digital Adoption Using Machine Learning 

  Kandaudage, Lahiru (2022)

  "The era of technology has been used in every other industry as well as in each of personal life of all human being in daily routing has made a huge impact from rapid growth of technologies. With these advancements of ...
• Predicting the content influence in twitter on the success of E-WOM special reference to cosmetic and personal care businesses 

  Wickramarathne, Shenali (2022)

  "At present the concept of e-WOM is heavily used by the businesses, e-retailing managers, and marketers to create awareness of their products and services for a greater audience. Having more than 186 million daily active ...
• A predictive analysis on ASPI, Bank Industry and Consumer Services Industry indices based on macro-economic variables during the COVID environment of Colombo Stock Exchange 

  Wickramaratne, Ranushma (2022)

  "This study intends to identify the pre-specified macro-economic variables that affect the All Share Price Index (ASPI) and selected sectorial indices {i.e. Banks Industry Group Index and Consumer Services Industry Group ...
• Prediction of non-performing advances in non-personal customers of Sri Lankan banking industry 

  Katugampala Gamage, Jayan Madusanka (2022)

  "The recent years the banking sector facing multiple storms, with rising non-performing advances facing pressure even before the pandemic. The economic downturn of the last two years due to poor economic growth, the Easter ...
• Flight departure delay prediction using machine learning techniques while identifying the impact from covid - 19 

  Gammanpila Appuhamilage Dona, Tharanga Lakmali (2022)

  "Flight delays are a major concern when it comes to the airline industry hence the delays end up in numerous circumstances causing passenger dissatisfaction and financial loses. As per the statistics, the percentage of ...
• Propensity-to-Buy Model to Generate Leads for Cross-Sell Opportunities in Insurance Industry 

  Peiris, Nishani (2022)

  With the increasing competition on the insurance industry, companies are eagerly looking for methods to maximize its profit by increasing sales. One of them turned out to be cross selling which has been found to be a very ...
• Fraud detection mechanism for mobile money transactions using machine learning techniques 

  Midigaspege, Thimali (2022)

  "Mobile money transactions have been rapidly growing all with universal presence of mobile phones. Using mobile phones people can perform unbanked transactions which is quick and easy. With the overwhelming growth in ...
• Agricultural Crop Recommendation using Weather Data 

  Amarasekara, Upeksha (2022)

  "In the research it developed a model that uses historical data from several weather stations in Sri Lanka to train and test which produce more accurate prediction for specific region in near future in a short amount of ...

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