An AI-driven cash application extension for Dynamics 365 Business Central that parses remittances, ingests bank-feed and lockbox data, and auto-matches payments to open invoices with confidence scoring. Built, installed per-tenant, and supported by ECOSIRE. Built to order by ECOSIRE for Dynamics 365 BC (build-to-order) — indicative price from $499.00 USD; request a quote for a scoped proposal.
示意预览An AI-driven cash application extension for Dynamics 365 Business Central that parses remittances, ingests bank-feed and lockbox data, and auto-matches payments to open invoices with confidence scoring. Built, installed per-tenant, and supported by ECOSIRE.
无需自行搭建——由 ECOSIRE 构建、安装并提供支持的可用应用。
以一次性构建价格开始。我们在启动时与您共同确定范围。
ECOSIRE 在您的 Dynamics 365 Business Central 上构建、配置并安装。
约 2–4 周内上线,并提供上线后的支持期。
AI Cash Application is a custom Dynamics 365 Business Central extension that takes the manual grind out of applying incoming customer payments. Your AR analysts stop keying remittance lines and reconciling lockbox files by hand — the extension reads the remittance, finds the open invoices, and proposes (or auto-posts) the application with a confidence score they can trust.
This is build-to-order, not an instant AppSource download. ECOSIRE engineers the solution in AL against your actual chart of accounts, customer ledger entry structure, payment tolerances, and remittance formats, then deploys it as a per-tenant extension directly into your Business Central environment (cloud SaaS or on-prem). We install it, configure the permission sets and Job Queue entries, run a pilot against your real open-invoice population, and support it after go-live.
How it works in BC terms: an AL extension adds a "Cash Application Worktable" page plus page extensions on Cash Receipt Journals and Customer Ledger Entries. Remittances arrive by email, PDF attachment, or customer portal; an AI parser extracts payer, amounts, invoice references, and deductions. Bank-feed and lockbox transactions are ingested through the BC REST/OData v4 APIs or an Azure-hosted middleware. A matching engine scores candidates against open Sustained customer ledger entries — exact, fuzzy, and many-to-one — and writes proposed applications. Short-pays and deductions are detected and coded to the GL accounts and dimensions you specify. Every analyst correction feeds back as labeled training data so match rates climb over time. A Job Queue entry runs the cycle on your schedule; event subscribers keep posting logic clean and upgrade-safe. Optional Dataverse / Power Platform sync surfaces an exceptions queue in a Power App. You own the source; nothing is locked to a vendor SaaS you can't audit.
Owns a team drowning in manual cash application across hundreds of daily receipts. Wants high-confidence matches auto-posted and only true exceptions reaching analysts, with a clear audit trail and improving match rates.
Responsible for the BC tenant health and upgrade cadence. Needs a per-tenant extension built the right way — event subscribers, scoped permission sets, Job Queue — that survives release waves and doesn't touch base-app code.
Cares about faster cash posting, accurate DSO, and controlled deduction handling. Wants automation that is auditable, owns the source code, and isn't locked into an opaque third-party SaaS.
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| AI remittance parsing (email/PDF/portal) | 包含 | 部分支持 | 部分支持 | |
| Auto-match with confidence scoring | 包含 | 部分支持 | 包含 | |
| Bank-feed and lockbox ingestion | 包含 | 部分支持 | 部分支持 | |
| Short-pay / deduction detection and GL coding | 包含 | 部分支持 | 部分支持 | |
| Learning loop from analyst corrections | 包含 | 不包括在内 | 部分支持 | |
| Built to your exact BC config and remittance formats | 包含 | 包含 | 不包括在内 | |
| Per-tenant, upgrade-safe (event subscribers, no base-app edits) | 包含 | 部分支持 | 包含 | |
| Source code ownership and full auditability | 包含 | 包含 | 不包括在内 | |
| Installed and supported for you (hands-on) | 包含 | 不包括在内 | 部分支持 |
No. This is a build-to-order extension. ECOSIRE engineers it in AL against your real Business Central configuration — your chart of accounts, customer ledger structure, payment tolerances, and remittance formats — then installs it as a per-tenant extension in your environment. There is no public AppSource listing to click and install; you get a solution fitted to your data and our hands-on deployment.
A typical build runs about 3 to 6 weeks from kickoff to production go-live, depending on the number of distinct remittance and lockbox formats, your bank-feed setup, and whether you want the optional Dataverse/Power Platform exceptions app. We start in a Business Central sandbox, validate against your real open-invoice population in a pilot, then promote to production. We confirm a firm timeline after a short scoping call.
Every build includes a post-launch support window for bug fixes and match-rate tuning. Because it's a per-tenant extension built on event subscribers (not base-app modifications), it stays upgrade-safe across BC release waves — and we offer an optional retainer to retest and recompile against each major BC update, add new remittance formats, and keep the learning loop tuned.
You own it. We hand over the AL source for the per-tenant extension. The matching and learning logic runs inside your Business Central environment (with optional Azure middleware you control), so there is no opaque SaaS you can't audit. If you ever part ways with ECOSIRE, the extension and its source remain yours.
Every correction an analyst makes to a proposed match is captured as labeled training data, so the engine learns your customers' payment behaviors and remittance quirks and lifts auto-match rates over time. Data stays within your tenant and infrastructure; the parsing and matching are scoped to least-privilege service accounts and permission sets, with a full audit trail from each posted application back to its source remittance.
An AI-driven cash application extension for Dynamics 365 Business Central that parses remittances, ingests bank-feed and lockbox data, and auto-matches payments to open invoices with confidence scoring. Built, installed per-tenant, and supported by ECOSIRE.