Feasibility of Automated Zero Touch Cashflow Forecasting using Artificial Intelligence

使用人工智能自动零接触现金流预测的可行性

• 批准号: 133507
• 金额: $ 8.9万
• 依托单位: FLUIDLY LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133507
• 关键词: Feasibility; Automated; Zero; Touch; Cashflow

Cashflow management is a well known challenge for small business. In the UK more than 99% of companies are classed as SMEs, 50% fail in their first five years, with 80% of failures due to cashflow issues. The tools for managing and forecasting this critical aspect of their business are lacking, many business owners manually forecast using company account data downloaded to spreadsheets. Current forecasting tools simply implement this same approach using cloud accounting data.Fluidly will use time series analysis and machine learning to improve cash forecasting. Fluidly will use a company's cloud accounting data to make predictions and surface insights automatically, at any time, without human touch. Our aim is to pre-empt financial difficulties, spot anomalies and to optimise cashflow using artificial intelligence as opposed to implementing existing flawed cashflow forecasting methodologies.We have already launched a web based application for debtor management for improved cash positioning, this project will build upon that platform.

现金流管理是小企业面临的众所周知的挑战。在英国，超过99%的公司被归类为中小企业，50%的公司在头五年倒闭，80%的倒闭是由于现金流问题。缺乏管理和预测业务这一关键方面的工具，许多企业主使用下载到电子表格中的公司账户数据手动预测。目前的预测工具只是使用云会计数据实现了同样的方法。流畅将使用时间序列分析和机器学习来改进现金预测。流畅将使用一家公司的云会计数据，在任何时间自动做出预测和表面洞察，而无需人工干预。我们的目标是利用人工智能预防财务困难、发现异常情况并优化现金流，而不是实施现有的有缺陷的现金流预测方法。我们已经推出了一个基于网络的债务人管理应用程序，以改善现金定位，这个项目将建立在该平台的基础上。