Retail

Payment reconciliation is a crucial process for retailers to maintain financial accuracy and to ensure smooth operations. In the retail industry, where transactions are frequent and in high volume, reconciling transactions can be time-consuming and complex. However, by implementing best practices and leveraging automation tools, retailers can streamline these processes to improve efficiency and accuracy.

Payment reconciliation in the retail industry involves scrutinizing point-of-sale (POS) transactions, deposit reconciliation, invoice reconciliation and bank settlement. Retailers often rely on third-party payment providers to process payments. Discrepancies can arise between the payments reported by the payment provider and the actual bank deposits.

Supplier statements and invoice reconciliation are crucial for retailers who make payments to suppliers. Manual reconciliation of supplier statements and invoices is usually time-consuming and error-prone. The reconciliation process involves matching invoices to orders, identifying duplicate invoices or statements, and highlighting missing details.

Bank reconciliation is a vital procedure for accounting teams. Retail accounting teams face additional challenges due to various sources of cash, such as POS systems, credit card processors, and alternative payment methods.  On top of the typical bank transactions, retail accounting teams have a plethora of bank accounts with additional sources of cash that may need further review.

Kosh.ai completely automates the payment reconciliation processes for retailers, effectively  reducing man hours, saving time, and increasing productivity.  The Kosh platform also serves as a reliable backup for payment records.  It  enhances control and compliance by tracking audit trails, automating workflows, and closing checklists.

The platform can review and sanitise POS data, which is usually the internal source of truth for retailers.  Kosh easily reconciles POS data with deposits highlighting discrepancies and ensuring accurate payment reconciliation.  It automatically matches invoices to orders,

identifies duplicate invoices, corrects data entry errors, and highlights missing details. Last but not the least, the Kosh platform streamlines the bank reconciliation process by securely importing data from bank statements, automatically comparing account balances and transaction-level detail. Kosh.ai eliminates the need for manual transaction matching, freeing accountants to focus on analysis and exceptions. The platform reduces man-hours by 99% and cost by 65% while ensuring 100% accuracy.

FAQ's

This is some text inside of a div block.
Why is payment reconciliation particularly challenging for retailers, and what are the common areas of complexity in the retail industry's transaction processes?
This is some text inside of a div block.
How does manual reconciliation of supplier statements and invoices impact retailers, and what challenges does it pose in terms of time and accuracy?
This is some text inside of a div block.
What are the challenges faced by retail accounting teams in bank reconciliation, and how does the diverse sources of cash, such as POS systems and credit card processors, contribute to these challenges?
This is some text inside of a div block.
How does Kosh.ai automate payment reconciliation processes for retailers, and what specific benefits does the platform provide in terms of efficiency and control?
This is some text inside of a div block.
In what ways does Kosh.ai contribute to the accuracy of payment reconciliation, and how does it streamline the bank reconciliation process for retail accounting teams?
Ready to get started?
Contact us now
Thanks for reaching out. We will get in touch with you very soon.
Oops! Something went wrong while submitting the form.
* By clicking on Contact Us you are agreeing to our Terms & Conditions and Privacy policy.

Other Industries

By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.