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\n Understand what a complete Jobpac invoice automation process needs beyond data extraction, especially when supplier invoices do not contain the exact Job Number, Purchase Order or Location required for processing.\n <\/p>\n
\n Optical character recognition (OCR) is valuable because it reads visible invoice information and reduces repeated data entry. It does not, by itself, determine whether an invoice belongs to the correct Job, Purchase Order, Location or WorkID, nor does it complete the validation, exception handling, evidence and process controls required across accounts payable.\n <\/p>\n
\n This article explains the capabilities to evaluate when considering Jobpac accounts payable automation. It also shows how WareConnect can use invoice clues, customer-approved Jobpac reference data and verified decisions to prepare cleaner Jobpac-ready data while keeping Jobpac central to the downstream finance process.\n <\/p>\n
\n OCR converts visible invoice text into structured data. It can capture fields such as the supplier, ABN, invoice number, date, Purchase Order reference, net amount, GST, total and line descriptions. Modern capture environments may use ABBYY FlexiCapture or configurable document AI technologies, including Google Cloud Document AI, Azure Document Intelligence and DocAI Fabric.\n <\/p>\n
\n A wider invoice automation process must then classify the document, validate the captured values, resolve or route missing references, retain the source document, manage exceptions and complete the agreed Jobpac handoff. Accounts-payable automation extends further into searchable evidence, supplier statement reconciliation, operational visibility and support for the people responsible for the process.\n <\/p>\n
\n Related article:<\/strong> \n Construction AP teams receive invoices from suppliers and subcontractors using different layouts, descriptions and reference formats. One invoice may show a complete Purchase Order number, while another may contain only a site address, suburb, delivery reference, contact name or project description. The same supplier may invoice several jobs or WorkIDs, and some invoices follow a Purchase Order path while others require a Job or Location-based non-PO path.\n <\/p>\n \n Jobpac\u2019s accounts-payable process also requires more than registration. Current Trimble Help explains that invoice processing can involve selecting a Job or Location, linking the invoice to a Purchase Order and delivery docket where applicable, coding the invoice, creating a batch and sending it for approval. An automation design therefore needs to prepare reliable data for the correct downstream path rather than treating extraction as the end of the process.\n <\/p>\n \n Jobpac process context:<\/strong> \n An invoice can be read accurately and still be incomplete for Jobpac. For example, the capture engine may correctly extract the supplier, invoice number, date and total, but the supplier may not have included the exact Job Number or Purchase Order number. A site address may be abbreviated, a project name may be informal, or the invoice may belong to a Location-based overhead workflow.\n <\/p>\n \n This is the difference between extraction accuracy<\/strong> and allocation accuracy<\/strong>. Extraction asks whether the document was read correctly. Allocation asks whether the invoice has been assigned to the correct Jobpac path using reliable business context.\n <\/p>\n Suggest and verify the appropriate:<\/p>\n \n Figure 1: Invoice clues checked against approved Jobpac reference data to support a Purchase Order, Job Number or Location decision.\n <\/p>\n \n A complete process should connect capture with allocation, validation, controlled review and a traceable handoff. The following workflow provides a practical evaluation model.\n <\/p>\n Receive invoices, credit notes and statements and route the document to the correct workflow.<\/p>\n<\/div>\n Capture supplier, ABN, dates, amounts, descriptions, addresses and available PO references.<\/p>\n<\/div>\n Check customer-approved Supplier, Job, PO, Location, WorkID and default-allocation data.<\/p>\n<\/div>\n Suggest the likely Purchase Order, Job Number or Location path.<\/p>\n<\/div>\n Apply required, format, supplier, tax, payment-detail and duplicate checks.<\/p>\n<\/div>\n Review uncertain values, business exceptions and records requiring judgement.<\/p>\n<\/div>\n Confirm no unresolved Business Validation Rules Error and a valid allocation path.<\/p>\n<\/div>\n Transfer approved data and the source document using the agreed method for a Registered Pending Invoice.<\/p>\n<\/div><\/div>\n \n Figure 2: Jobpac accounts payable automation workflow extending beyond OCR capture.\n <\/p>\n \n Missing references cannot be resolved safely by guessing. A Jobpac-aligned Lookup Database gives the automation process a controlled reference point. WareConnect can populate this database using customer-approved Excel or CSV exports from Jobpac. Where endpoint access is available, a manual sync tool can refresh selected lookup information.\n <\/p>\n \n Direct Jobpac API access is therefore not required to deliver the core allocation and validation value. The important control is that the reference data is approved, current and appropriate to the customer environment.\n <\/p>\n
\n How OCR Invoice Processing Works with Jobpac<\/a>\n <\/p>\nWhy construction invoices are difficult to automate<\/h2>\n
\n Electronic-Invoicing (e-invoicing) in Trimble Help<\/a>\n <\/p>\nThe missing Job Number, Purchase Order or Location problem<\/h2>\n
Invoice clues<\/h3>\n
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Customer-approved Jobpac data<\/h3>\n
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Required decision<\/h3>\n
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What complete Jobpac invoice automation should do<\/h2>\n
Capture and classify<\/h3>\n
Read invoice clues<\/h3>\n
Lookup Jobpac data<\/h3>\n
Suggest allocation<\/h3>\n
Validate controls<\/h3>\n
Verify and resolve<\/h3>\n
Jobpac Ready<\/h3>\n
Transfer and register<\/h3>\n
Use approved Jobpac reference data<\/h2>\n