Predictive monitoring saves time and money

The AI compares each line of the invoices received with the negotiated pricing conditions (base price, conditional discounts, ancillary costs, etc.). Any discrepancies are identified and compared with the supplier's history, before an internal alert is issued.

AI takes into account pricing data as well as quantitative data. Invoices are analyzed line by line and product by product. It doesn't matter whether the conditions negotiated concern the application of volume or value discounts: AI reasons by matching data. By cross-referencing invoices with negotiated conditions, the tool ensures that discounts are applied whatever the triggering factor (quantities ordered or total value ordered).

Because a quotation doesn't necessarily take into account the conditions negotiated upstream, AI cross-references multi-level data: negotiated conditions, quotation, purchase order and invoice.

AI is capable of analyzing qualitative data, often provided for in terms and conditions of sale but rarely mentioned on a quotation or invoice. For example, no return of goods will be accepted if the delivery note has not been validated by the receiving platform. In this case, the AI is able to take the delivery note into account and compare it with a returns note deemed invalid by the supplier. At the time of invoicing, the AI will judge the invoice to be invalid, as it considers that the merchandise for which the return has been requested should not be invoiced.

AI identifies abusive charges when they do not correspond to negotiated conditions or validated quotations: shipping costs, packaging costs, administration costs, return costs, etc. Structures dependent on a framework agreement can thus be alerted when a supplier does not specifically apply agreements negotiated at group level.

AI monitors supplier data in real time. The AI identifies invoices already submitted, or those with inconsistencies in bank details (IBAN) compared with historical documents. Whether the invoice number is the same or different, this does not prevent the AI from cross-referencing all the lines of all the documents received.

AI saves you 95% of the time it takes to process invoice data, with a guaranteed result of 100% invoice processing. Zylio AI also means an error rate close to 0 and the total elimination of manual checks.

Real-time processing of purchasing documents guarantees PAFs (reliable audit trails) with no data gaps. Quotations, purchase orders and invoices are filed under a unique order number, which the AI assigns to the corresponding fund movement. In the event of an anomaly, the AI provides an alert to help secure invoices immediately.