Integration with Accounting Applications

The integrated accounting applications include payables, receivables, general ledger, and fixed assets. Integration of these accounting applications with other supply chain functionality is illustrated below.

Payables The purchase order receipt transaction can also be used to enter the vendor invoice information. It may have accompanied the incoming material, or the receipt itself represents the invoice. The system handles vendor returns and the associated credit memo information, and customer returns can even spawn vendor returns. Actual costing methods are based on posting the vendor invoice.

Receivables The sales order shipment transaction can also generate a sales invoice, typically because the invoice must accompany the shipment. The system handles customer returns and the associated credit memo information. The pricing and discount information for sales orders also applies to manually entered invoices and credit memos.

General Ledger The system provides an audit trail to every supply chain activity that impacts the general ledger. It also supports analysis by analytic dimensions related to items, customers, vendors , and other entities.

Fixed Assets The fixed assets application is integrated with purchase order and sales order processing. A fixed asset purchase can represent the acquisition or maintenance of a fixed asset, where the line item indicates the fixed asset identifier. Additional information must be indicated on the purchase order line item for an acquisition, and the receipt transaction updates information in the fixed assets application. A fixed asset can also be sold, where the sale order line indicates the identifier for a fixed asset and the sales price, and the shipment transaction updates information in the fixed assets application.

Integration with Business Analytics Integrated functionality with business analytics has several implications. It simplifies the steps involved in defining and populating information in the data warehouse ( especially information related to analytic dimensions), so that minimal time and technical expertise are required for implementation. It provides out-of-the-box functionality for supporting standardized and ad hoc analyses. It also supports customization to meet the unique requirements for decision support.