To build an automated, comprehensive and data-driven approach to assist SME exporters in Sri Lanka.
· Main Research questions
What are the current platforms that are meant to assist SMEs in Sri Lanka in some of the most important domains for an SME?
Is there a way to validate a certified supplier?
Is there a way to analyze foreign markets and demands and provide future-ready suggestions?
What is the optimal packaging material for a given product to ensure its quality and reduce shipping costs?
What if there’s a one-stop platform to handle every step of the process management ?
· Individual research questions
1.How can a step-by-step guide be developed to address the four major challenges in the exporting process, with the goal of automating tasks, providing valuable information, and offering resources to simplify and streamline the process?
2. Can platforms provide a viable solution for SMEs to efficiently identify sellers with valid certificates?
3. What are the most effective time-series analysis algorithms for assisting local SMEs in identifying foreign market opportunities?
4. How can a user-friendly system be developed to anticipate the most appropriate packaging material for a given product based on historical data and product characteristics? Additionally, how can this system provide swift recommendations to minimize delays in the shipping process?
· Individual Objectives.
1. Develop a Python-based step-by-step guide to automate and streamline the exporting process in all four main domains.
2.develop a neural network-based system that can effectively validate the certificates of sellers before they are granted access to a platform.
3. identify and evaluate the most effective time-series analysis algorithms that can assist local SMEs in identifying foreign market opportunities.
4. to develop a system that can predict the most suitable packaging material for a given product based on historical data and product characteristics.
