One design, scoped to the Oracle product you actually run.
The steps below are the reference design — orders out on approval, invoice references back. What changes per engagement is the transport and the cadence, decided by the Oracle product in play.
Order approved in FilFlo
A quick-commerce or B2B purchase order is captured, cut at SKU level where needed, and approved — the commercial commitment is settled before ERP hears about it.
Oracle product and version named
Oracle E-Business Suite, Fusion Cloud ERP and NetSuite are different systems with different integration surfaces. The engagement pins down the exact product and version before any mapping starts.
Transport scoped to fit
REST or SOAP where the named product supports it — typically through Oracle Integration Cloud or your existing middleware — or secure scheduled file exchange where a file interface is the standing pattern.
Sales order lands in Oracle
The approved order's header and lines are created via API on approval, or delivered as an import file on the agreed schedule — with item codes mapped for the fulfilling site.
Invoice references return
Once Oracle invoices the order, the invoice reference comes back — polled over the API or received in a scheduled return file, per the scoped cadence.
Invoice joins the order trail
The reference attaches to the same order timeline as the PO, the approval and the fulfillment events, keeping the trail reconciliation-ready.
Downstream documents unlock
Invoice data read back from ERP powers downstream submissions — the same role it plays in the live Dynamics 365 integration, where it feeds ASN filing to Zepto.
Oracle is not one system — so we name the one you run.
Oracle E-Business Suite, Oracle Fusion Cloud ERP and NetSuite are different products with different data models, APIs and file interfaces. A generic “Oracle integration” claim would gloss over that — so FilFlo doesn't make one. Every engagement names the exact Oracle product and version being integrated, and the transport, objects and cadence are scoped against what that product actually exposes. The design being applied is not hypothetical: the same order-out, invoice-back architecture runs live with Microsoft Dynamics 365.
What crosses the wire — by design.
The default object scope of the pattern. The final list is confirmed per engagement against what the named Oracle product exposes.
Created in the named Oracle product when the order is approved in FilFlo — over REST or SOAP where available, or as an import file on the agreed schedule.
Oracle-raised invoices return by API poll or scheduled return file and attach to the FilFlo order trail.
FilFlo buyer entities are mapped to Oracle customer records, so every order posts against the right account.
Per-site (per-CFA) item-code mapping decides which Oracle item codes each order carries.
Orders reference the correct Oracle organization and warehouse for the fulfilling location.
What the pattern enforces — and what it expects.
Oracle stays the system of record
Oracle remains the enterprise accounting and master-data system. FilFlo captures and resolves the commercial events that need to be clean before they reach ERP — it never writes around ERP controls.
Scope is written, not assumed
Product, version, transport, object list, triggers and cadence are agreed in a scope document with your Oracle team before integration work starts — every claim in it is testable.
A proven design, applied deliberately
The order-out, invoice-back architecture this pattern follows runs live today with Microsoft Dynamics 365, in production at an enterprise CPG deployment. Oracle engagements apply that reference design — they don't experiment from scratch.
No off-the-shelf connector
There is nothing to switch on today. Oracle is an implementation pattern delivered per engagement, and timelines depend on scoping with your Oracle or middleware team.
Middleware and access are prerequisites
API-based patterns rely on Oracle Integration Cloud or your middleware being available, with environment access and credentials provisioned on the Oracle side.
File cadence is scheduled, not instant
Where the pattern is file-based, data moves on the agreed schedule over secure transfer. Plan cut-offs and reconciliation timing around that cadence rather than expecting continuous sync.
Master data lives in Oracle
Customers, items and organizations are referenced by FilFlo, not managed by it. Keeping them current on the Oracle side remains the customer's responsibility.
Frequently asked questions.
Is there a native FilFlo connector for Oracle?
No — and we won't call it one. Oracle is an implementation pattern: the integration is scoped per engagement over REST or SOAP APIs, typically through Oracle Integration Cloud or the customer's middleware, or as secure scheduled file exchange where files are the standing interface. The order-out, invoice-back design it follows is live today with Microsoft Dynamics 365, which serves as the reference architecture.
Which Oracle product does this cover — E-Business Suite, Fusion Cloud ERP or NetSuite?
Whichever one you run — but they are different systems with different data models, APIs and file interfaces, so the supported product and version are named per engagement rather than claimed generically. The scope document names the product, the transport and the object list before any build starts.
Does FilFlo replace Oracle?
No. Oracle remains the enterprise accounting and master-data system of record. FilFlo captures and resolves the commercial events — PO intake, SKU-level approvals, fulfillment, GST invoicing, GRNs — that need to be clean before they reach ERP, then feeds approved orders to Oracle and reads invoice references back.
How fresh is the data — is the integration real-time?
It depends on the transport, and the honest answer is written into the scope. API-based patterns push orders when they are approved in FilFlo and poll invoice references back; file-based patterns exchange secure files on an agreed schedule, so data is exactly as fresh as the cadence. Trigger and frequency behavior is agreed up front so operations and finance know when data moves — nothing is promised as instantaneous.
Scope the Oracle pattern against a working reference.
Book a 30-minute demo and see the live Dynamics 365 loop — PO in, SKU-level approval, order pushed to ERP, invoice read back — then map the same order-out, invoice-back design onto the Oracle product you run.