One of the main benefits offered by a SaaS platform such as Yndika is the automation of the Order to Cash processes, from the initiation of a transaction to its collection management.
These benefits have a great impact both directly and indirectly. We analyse some of the most important ones below.
Agility in invoicing
The automation of invoices that are periodically sent to customers speeds up this process, avoids the possibility of delays in sending them, as well as preventing any errors that might occur if the action were always carried out manually.
Today’s Fintech platforms can have large-scale billing automation linked to them, significantly streamlining this process and reducing overdue debt due to late invoice remittance.
Effective collection management
Just as we can automate the sending of an invoice, it is also possible to automate the collection management.
This means that as soon as an invoice is not paid on time, the system sends a notification to the customer to remind them of their commitment to pay, which has not yet been fulfilled.
As an automatic dispatch, the process is less aggressive than a personal call, which helps to maintain good customer relations despite the existing debt.
These automatic reminders can be customised to improve production efficiency. For example, they can also be sent to account managers, so that they are then responsible for following up on the payment of the amount owed.
Resource optimisation
In any company, everything related to the tasks around the commercial and financial cycle, from sending the invoice to closing it with the final payment, requires a lot of resources to be invested.
This means spending staff, time and money on operations that, with automated functions, could run more smoothly without spending these resources.
This means, at the same time, that the action of these professionals can be diverted to higher-value tasks that can have a faster impact on the company’s revenues, helping to achieve more efficient growth.
Automation in financial analysis
A commercial operation also has a previous work in which you can take advantage of process automation and Artificial Intelligence. At Yndika we offer customised risk indicators with high predictive capabilities, in order to have vital information for decision making.
This information can be obtained in an automated way, and then it is up to the manager to make the most of it in their decision making.
In fact, with Yndika you have at your disposal an immediate reporting service with Business Intelligence that shows different reports and KPIs in real time at both corporate and subsidiary level.
Control of the entire portfolio
With homogeneous indicators, also offered in real time, it is possible to gain full control of your customer portfolio. This allows you to gain control of your credit risk assessments.
For a better analysis of the financial situation of each company, it is possible to carry out a customised segmentation of the entire portfolio, creating different groups with proactive alerts in case of risk.
Automation to control debt
One of the biggest problems faced by many organisations is the lack of liquidity. This is often caused by the difficulty of preventing defaults on transactions with certain customers.
The automation of processes with SaaS platforms makes it possible to speed up actions in these situations as much as possible, but it also serves to keep track of current debts, which is extremely important, especially in large companies.
In this sense, detailed information is provided on the level of indebtedness of each customer and which invoices are most overdue for payment.
This data is very relevant, both for deciding whether to use more resources in a probable collection management or whether to reduce or cease operations with this customer, due to the high risk of non-payment.
By using these tools, it is possible to optimise the Order to Cash processes to the maximum, to seek the maximum return for each commercial operation and to reduce the risk of non-payment of any customer as much as possible.
