About Spurwing Solutions
Over the course of a decade Spurwing Solutions has developed a range of invoicing processing and automated invoice matching solutions specifically for the tourism industry to streamline the reconciliation process. Spurwing's objective is to develop solutions for industry which improve processing efficiencies, reduce time and costs and facilitate timeliness of payments.
Spurwing's invoice matching solution provides a convenient, cost and time effective process to automatically reconcile supplier invoice data against distributor reservation data.
Up to 70% of invoices received by travel distributors arrive in pdfs attached to emails. Processing pdf invoices creates additional workload and increased inefficiency for invoice processing & payment. This typically involves manually entering the PDF data into the booking system, which is time-consuming and prone to errors. In the Spurwing model, invoices from participating suppliers are received as a data file directly from supplier accounting systems - removing any need for manual processing.
Distributors upload booking data into Spurwing which is automatically matched against invoices uploaded by suppliers. Participating suppliers have the opportunity to view the status of invoices via an online portal as they pass through the invoice approval process.
Electronic receipt and reconciliation of invoices allows for faster processing of invoices providing flexibility in the timing of payments. In addition, the visibility that comes from the automatic processing of invoice data helps to improve cash flow control.
Tourism Suppliers typically have to send many invoices to multiple distributors listing services provided and a request for payment.
Distributors recieve multiple invoices in different formats from many different suppliers, creating the need for manual invoice matching against their own references in their travel management systems. - time consuming and tedious.
Here's where Spurwing comes in.
Spurwing allows suppliers to upload invoices digitally, which are then automatically matched against booking data uploaded by distributors. This is performed in five simple steps