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Bank Transfer & Virtual Accounts for ERPNext — A build-to-order ERPNext app that turns manual bank-transfer collections into  — 1/1معاينة توضيحية

A build-to-order ERPNext app that turns manual bank-transfer collections into an auto-reconciling flow using

per-invoice virtual accounts, statement import, and reference-code matching.

ECOSIRE scopes, builds, installs, and supports it for your ERPNext v15/v16 site.

ما هو Bank Transfer & Virtual Accounts for ERPNext؟

A build-to-order ERPNext app that turns manual bank-transfer collections into an auto-reconciling flow using per-invoice virtual accounts, statement import, and reference-code matching. ECOSIRE scopes, builds, installs, and supports it for your ERPNext v15/v16 site. Built to order by ECOSIRE for ERPNext v15, v16 — indicative price from $999.00 USD; request a quote for a scoped proposal.

الميزات الرئيسية

`Virtual Account` DocType that mints a unique IBAN/account number (where the bank supports it) or a deterministic reference code per Sales Invoice or per customer
`hooks.py` `doc_events` on Sales Invoice submit auto-provisions the virtual account or reference and stamps it onto the invoice and its print format
Statement ingestion for CSV, MT940, and CAMT.053 via a mapped `Bank Statement Import` DocType, plus optional scheduled bank-API pull
Matching engine that scores incoming `Bank Transaction` credits against open invoices by VA number, reference code, amount, and payer name
Auto-creation and submission of the correct `Payment Entry` for high-confidence matches through a whitelisted server-side method
Configurable confidence thresholds and amount tolerances so partial or slightly-off transfers route to review instead of mis-posting
Exception review queue (a workspace/report) where AR clerks confirm ambiguous or unmatched credits with one click
Customer portal page / Web Form showing the exact account or reference to pay, with per-invoice remittance instructions
Proof-of-payment upload posted via the Frappe REST API, attached to the invoice and raising a review ToDo/Notification
`scheduler_events` for periodic statement pulls, reference-expiry cleanup, and re-matching of previously unmatched credits
SEPA/IBAN and local-rail support with multi-currency awareness tied to your existing bank accounts and Chart of Accounts
Role profiles and permission rules separating reconcile, approve, and read-only auditor access on all new DocTypes
Idempotent posting guards and duplicate-credit detection so a re-imported statement never double-posts a Payment Entry
Full Frappe audit trail and version history on every provisioned reference and posted entry, with links back to the source Bank Transaction

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  1. 1

    تطلب

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  2. 2

    نبني ونثبّت

    يقوم ECOSIRE ببنائه وتهيئته وتثبيته على ERPNext الخاص بك.

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    الإطلاق + الدعم

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المواصفات التقنية

توافق ERPNext
—
الترخيص
يلزم تأكيد الترخيص
متطلبات Python
Python 3.10+
قاعدة البيانات
MariaDB 10.6+

عن هذا المنتج

If your customers pay by bank transfer, ERPNext's native Payment Entry and Bank Reconciliation Tool leave you doing the hardest part by hand. A finance clerk stares at a bank statement, guesses which incoming credit belongs to which Sales Invoice, hunts for a half-remembered reference in the narration field, and manually creates and matches Payment Entries one by one. For B2B and emerging-market merchants where transfer is the dominant rail, this is slow, error-prone, and it delays order fulfilment because you cannot confirm payment in real time. ERPNext gives you the accounting ledgers and a basic reconciliation screen, but it has no concept of a per-invoice collection identity, no automated ingestion of the incoming payment stream, and no way for a customer to prove they paid.

We build a proper Frappe app that closes that gap. At its core is a Virtual Account DocType that mints a unique collection identity — a dedicated IBAN/account number where your bank supports virtual accounts, or a deterministic reference code (for example INV-2026-00042-7Q) where it does not — bound to a specific Sales Invoice or customer. A Bank Statement Import DocType plus a mapped parser ingests statements (CSV/MT940/CAMT.053, or a bank API pull via a scheduled job) into Bank Transaction rows, and a matching engine scores each incoming credit against open invoices by virtual-account number, reference code, amount, and payer name. High-confidence matches auto-create and submit the Payment Entry against the correct invoice via a server-side whitelisted method; ambiguous ones land in a review queue for a human to confirm with one click.

Technically it ships as a versioned Frappe app installed onto your bench — new DocTypes, a dedicated module, hooks.py doc_events (on Sales Invoice submit we provision the virtual account / reference; on Bank Transaction insert we run matching), server scripts and whitelisted API methods for the reconciliation logic, and scheduler_events for the periodic statement pull and stale-reference cleanup. Customers get a portal page (or a Web Form) to see exactly where to send funds and to upload a proof-of-payment, which posts through the Frappe REST API and raises a review task. Access is governed by role profiles and permission rules so that AR clerks reconcile, approvers confirm, and auditors read — with the full Frappe audit trail behind every posted entry. It targets Frappe/ERPNext v15 and v16, and integrates with your existing Chart of Accounts, bank accounts, and multi-currency setup rather than sitting beside them.

Because every bank's statement format, rail (SEPA/IBAN vs local domestic transfer), and provisioning capability differs, this is build-to-order rather than a one-click marketplace download. We start with a short scoping call to confirm your banks, rails, statement formats, and matching tolerances, then build against your actual data on a staging bench. Typical delivery is one working week from confirmed scope. You receive the installable source for your version, a documented install and configuration on staging, UAT, and a supported go-live — not a black box.

ما تحصل عليه

  • Installable source code for the Frappe app, pinned to your ERPNext v15 or v16 version
  • Install and configuration on your staging bench, wired to your banks, rails, and statement formats
  • Technical documentation: DocType reference, hooks and scheduler events, API methods, and matching-rule configuration
  • End-user guide plus a live training session for your AR/finance team
  • UAT on staging against your real invoices and sample statements, with a documented rollback plan
  • Post-go-live support window for defect fixes and reconciliation-tuning
  • Git repository handover with full commit history and setup instructions
  • Configuration workbook capturing your bank mappings, reference formats, and matching tolerances

لمن هذا

B2B merchant with high-value bank transfers

Sells to businesses that pay by wire/transfer against invoices. Needs each incoming credit tied to the right Sales Invoice automatically so orders can be released the moment funds arrive, without a clerk reconciling by hand.

Emerging-market seller where transfer is the default rail

Operates where cards are rare and local bank transfer or IBAN is how most customers pay. Needs reference-code reconciliation and a proof-of-payment flow that works even where the bank offers no true virtual accounts or API.

Finance / AR lead drowning in manual reconciliation

Owns the Bank Reconciliation Tool today and spends hours matching statement lines to invoices. Wants auto-matching for the obvious cases and a clean exception queue for the rest, with a full audit trail for approvals.

ERPNext admin / systems owner

Runs the bench and cares about a clean, versioned Frappe app: proper DocTypes, hooks, permissions, and v15/v16 compatibility they can maintain and upgrade rather than a pile of untracked server scripts.

كيف يقارن Bank Transfer & Virtual Accounts for ERPNext.

المعيارECOSIREبناء مخصصمنافسERPNext الأصلي
Per-invoice virtual account / referenceAuto-minted VA or reference DocType per invoicePossible but you design and build itRarely offered; generic gateway focusNo concept of a collection identity
Statement ingestionCSV/MT940/CAMT.053 + optional API pullWhatever you find time to implementOften card-only, no statement parsingManual upload into Bank Reconciliation Tool
Auto-reconciliationScored auto-match + exception queueDepends on in-house effortLimited or rule-light matchingManual line-by-line matching
Proof-of-payment flowPortal upload via REST API + review taskMust be designed from scratchUsually absentNone
Fit to your bank & railsBuilt to your banks, IBAN/local railsFully bespoke if you resource itGeneric; may not fit local railsGeneric ledger only
ERPNext v15/v16 fitVersioned app pinned to your benchYou own compatibility upkeepVaries; may lag versionsNative but manual
Support & handoverSupport window + git repo + trainingOnly what you documentVendor support, no sourceCommunity forums only
Total cost profileFixed build-to-order scopeUnpredictable dev + maintenanceSubscription, uncertain fitFree but heavy manual labor

الأسئلة المتداولة حول Bank Transfer & Virtual Accounts

Is this a ready-made app I can download and install today?

No. It is build-to-order. Every bank's statement format, rail, and virtual-account capability differs, so ECOSIRE scopes, builds, and installs it against your actual ERPNext site and bank data rather than shipping a generic one-click download.

How long does delivery take?

Typically one working week from confirmed scope. After a short scoping call we build on a staging bench against your real invoices and sample statements, run UAT, then support go-live. Complex multi-bank or bank-API integrations can extend the timeline, which we flag during scoping.

What happens with support and updates after go-live?

Every build includes a post-go-live support window for defect fixes and reconciliation tuning. You receive the full git repository and source, so your team can maintain it; ECOSIRE also offers ongoing support and v15-to-v16 upgrade work as a separate engagement.

My bank does not offer real virtual accounts. Does this still work?

Yes. Where true per-invoice IBANs are not available, we use deterministic reference codes stamped on each invoice and its remittance instructions, then match incoming credits on reference, amount, and payer name. Where your bank does support virtual accounts or an API, we use those for even tighter matching.

Which ERPNext versions and rails are supported?

Frappe/ERPNext v15 and v16. We support SEPA/IBAN and local domestic transfer rails, and ingest statements as CSV, MT940, or CAMT.053, with an optional scheduled bank-API pull where your bank exposes one.

How does it avoid double-posting or mis-matching payments?

The matching engine only auto-posts high-confidence matches; anything ambiguous or partial routes to a human review queue. Idempotent posting guards and duplicate-credit detection mean a re-imported statement never creates a second Payment Entry, and every posted entry links back to its source Bank Transaction for audit.

How is it built inside ERPNext, technically?

As a proper Frappe app with its own module and DocTypes, `hooks.py` doc_events for provisioning and matching, whitelisted server-side methods for posting Payment Entries, scheduler_events for statement pulls, and role-profile permissions. It integrates with your existing Chart of Accounts and bank accounts rather than replacing them.

طلب عرض سعر

Bank Transfer & Virtual Accounts

A build-to-order ERPNext app that turns manual bank-transfer collections into an auto-reconciling flow using per-invoice virtual accounts, statement import, and reference-code matching. ECOSIRE scopes, builds, installs, and supports it for your ERPNext v15/v16 site.

  • `Virtual Account` DocType that mints a unique IBAN/account number (where the bank supports it) or a deterministic reference code per Sales Invoice or per customer
  • `hooks.py` `doc_events` on Sales Invoice submit auto-provisions the virtual account or reference and stamps it onto the invoice and its print format
  • Statement ingestion for CSV, MT940, and CAMT.053 via a mapped `Bank Statement Import` DocType, plus optional scheduled bank-API pull
  • Matching engine that scores incoming `Bank Transaction` credits against open invoices by VA number, reference code, amount, and payer name

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