A cash reconciliation is the process of verifying the amount of cash in a cash register as of the close of
business.
This process has a reconciliation process against 19 lodges, RPA receives monthly ledgers in xlsx format
which includes transactions against these lodges & this process has to reconcile & generate the
Reconciliation files against each individual lodges.
In today's scenario – it takes 2 -3 hours to reconcile one report resulting in one lodge. Through a
centralized database need to fetch ledgers on a monthly basis and reconcile the transactions according to
the ledger.
An inventory is counted and recorded monthly in DataWorks (lodge inventory system for retail inventory, both gift shop and spa). At month-end, the Lodge Accounting team must pull the DataWorks inventory reports to record the ending inventory balances in the G/L. DataWorks reports are run for both Gift Shops and Spa that show the current inventory balances as of the time that the report is run. Since DataWorks is a live system, these reports are required to be run on the morning of the 1st of the month.
The UiPath robot handled the automation of generating inventory reports from the DataWork Application in both formats xls & pdf, later generated reports are shared with the business users.
In today's scenario – it takes 10-15 minutes for the user to manage a single Invoice. Business user receives invoices through email & later it is processed through SAP & Oracle.
The Ui Path robot handles the automation of Invoice processing, BOT reads the email, verifies the attachments, extracts the invoice contents, and processes it through SAP & Oracle. Also, BOT generates reports on processing invoices daily.
The customer needed to automate the ATM Reconciliation process with a volume of 2000 transactions per month, an AHT of 400 seconds per transaction, and 3 FTEs. There were four departments involved that used two different applications on both web and desktop. The information was structured, with pre-determined rules and conditions.
The UiPath robot handled the interface between Siebel and Finacle applications. It exported various reports from the application and reconciled the data. The reconciliation report was sent to the nominated business user.
The customer needed to automate the ATM Reconciliation process with a volume of 2000 transactions per month, an AHT of 400 seconds per transaction, and 3 FTEs. There were four departments involved that used two different applications on both web and desktop. The information was structured, with pre-determined rules and conditions.
The UiPath robot handled the interface between Siebel and Finacle applications. It exported various reports from the application and reconciled the data. The reconciliation report was sent to the nominated business user.