Feasibility of Automated Zero Touch Cashflow Forecasting using Artificial Intelligence

现金流管理是小企业面临的一个众所周知的挑战。在英国，超过99%的公司被归类为中小企业，50%的公司在头五年内失败，80%的失败是由于现金流问题。缺乏管理和预测其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的公司帐户数据手动预测。目前的预测工具只是使用云会计数据来实现相同的方法。Fluidly将使用时间序列分析和机器学习来改进现金预测。Fluidly将使用公司的云会计数据，随时自动进行预测和分析，无需人工干预。我们的目标是先发制人的财务困难，发现异常，并优化现金流使用人工智能，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应用程序，债务人管理，以改善现金定位，这个项目将建立在该平台上。

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.