The case of chpter.
In a data driven era in financial services, the adoption of sophisticated data-centric systems will change the future of finance. Asserting demand, mitigating risk and increasing turnover in debt heavy projects still remains one of the biggest challenges in emerging markets. Financial service providers now need effective systems to accurately predict demand and adapt to the rapidly changing economic climate.
chpter. is on a mission to build financial forecasting infrastructure that will revolutionise the future of Property and Asset finance across Africa. Automation, Integration and Analytics are at the core of the solution being provided by the Chpter Integrated System (CIS).
The adoption of A.I driven solutions enables financial services institutions to leverage automated workflows ensuring effective capital expenditure and greater return on investment. This is done through CIS Analytics. Our advanced prediction and recommendation systems improve efficiency, evaluate investment health and provide sound guidance in assessing debt for property and asset finance.
Our analytics module uses both supervised and unsupervised learning AI algorithms to identify high turnover debt financing options even in the most complex and highly forecasted environment. This helps credit analysts easily navigate key decision making factors such as anticipated demand, projected returns, level or risk exposure and repayment timeline.
There is a need for financial services institutions to have technology at their core and data-centric systems embedded in their DNA. By leveraging analytics, financial services institutions can be able to investigate major project parameters enabling them to mitigate risk and increase turnover.