Development of algorithm for cash flow optimization
Development of algorithm for cash flow optimization
批准号:
536934-2018
负责人:
Williamson, Vanessa
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
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英文摘要
Toronto-based Pungle Inc., enables its customers to deliver real-time electronic, business-to-business transactions. This applied research collaboration with Seneca will develop a cash-flow optimization feature for Pungle users. This feature, which will be seamlessly integrated into the Pungle platform, will utilize user-specific transaction data to predict the optimal discounts required to ensure timely invoice payments. By integrating this value-added feature, Pungle will increase customer retention and provide a competitive advantage over other real-time payment businesses. Professor Ramy Taraboulsi will lead the project, supported by Research Assistants from Seneca's School of School of Accounting and Financial Services and School of Information and Communications Technology, who will apply their financial analysis and software development knowledge and skills to developing commercial systems for cash-flow optimization and algorithm development. The proposed software development project will enhance Pungle's ability to capture the Canadian marketplace, helping SMEs to improve their businesses and better control cash flows. The resulting growth of the company will lead to dozens of new software development and financial services jobs in the next three to five years.
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