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
总部位于多伦多的Pungle Inc.使其客户能够提供实时电子,企业对企业的交易。这项与Seneca的应用研究合作将为Pungle用户开发现金流优化功能。该功能将无缝集成到Pungle平台中,将利用用户特定的交易数据来预测所需的最佳折扣,以确保及时支付发票。通过整合这一增值功能,Pungle将提高客户留存率,并提供优于其他实时支付业务的竞争优势。Ramy Taraboulsi教授将领导该项目,并由Seneca会计与金融服务学院和信息与通信技术学院的研究助理提供支持,他们将运用他们的财务分析和软件开发知识和技能开发商业系统,以优化现金流和算法开发。拟议中的软件开发项目将增强Pungle占领加拿大市场的能力,帮助中小企业改善业务并更好地控制现金流。该公司的发展将在未来三到五年内带来数十个新的软件开发和金融服务岗位。
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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