International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

“Spices Master” Intelligent Management System for Sri Lankan Spice Market Using Machine Learning

Hashini ChamikaDepartment of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaSanjula LakshanDepartment of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaPiyumi UpekaDepartment of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaMalinda NadeeshanDepartment of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaBuddhima AttanayakaDepartment of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaAnjalee GamageDepartment of Information Technology, Sri Lanka Institute of Information Technology, Metro, Sri Lanka

Vol 7 No 6 (2023): Volume 7, Issue 6, June 2023 | Pages: 178-184

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 03-07-2023

doi Logo doi.org/10.47001/IRJIET/2023.706028

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Abstract

The intelligent management system for Sri Lankan spice market using machine learning is a technology-based solution to streamline the management of the Sri Lankan spice market. The system uses machine learning algorithms to analyze and forecast market trends, enabling industry stakeholders to make informed decisions. The system collects data from various sources, such as historical sales data, weather forecasts, geopolitical events, and other relevant factors that can affect the market. We then use machine learning algorithms to analyze the data to provide insights that help optimize supply chains, improve pricing strategies, and identify new market opportunities. This intelligent management system enables stakeholders to make data-driven decisions that reduce waste, reduce costs, and improve overall efficiency in the spice market. The system also helps stakeholders adapt to changing market conditions and stay ahead of their competitors. Overall, an intelligent Sri Lanka spice market management system powered by machine learning is a powerful tool that will revolutionize how the spice market works and bring significant benefits to all stakeholders in the industry.

Keywords

forecasts, geopolitical, intelligent, algorithms, analyze


Citation of this Article

Hashini Chamika, Sanjula Lakshan, Piyumi Upeka, Malinda Nadeeshan, Buddhima Attanayaka, Anjalee Gamage, ““Spices Master” Intelligent Management System for Sri Lankan Spice Market Using Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 6, pp 178-184, June 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.706028

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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