Sales Order & Order Entry Automation for Prophet 21 & IFS

Sales order automation with ESS Fusion AI captures customer orders from email and PDF in any layout, uses template-free AI vision to read every header and line field, validates the customer, ship-to location and items against your live Prophet 21 / IFS data, then writes the record directly into the ERP as a sales order. High-confidence orders achieve straight-through processing with no human touch; uncertain ones go to a reviewer in a chat-style interface beside the original document. Extraction is only the first step — ESS goes end-to-end from document to ERP transaction, so order entry automation ends with a live order in P21 or IFS, not an export file a CSR still has to key in.

ESS Fusion AI is an EDI alternative for the trading partners who will never adopt EDI. EDI works well for partners already set up on it, but plenty of customers still send orders as an email or a PDF — and in most distribution businesses those fall straight back to manual entry. Instead of forcing every partner through an EDI onboarding project, ESS reads email and PDF orders with template-free AI vision and creates the order directly in Prophet 21 / IFS. The result is the same straight-through processing EDI delivers, extended to the long tail of partners EDI never reaches. Order entry automation ends up covering everyone, not just the connected few.

POA automation matches a supplier's purchase order acknowledgement back against the original PO line by line — quantities, prices and dates — and flags any differences as exceptions for review. Matched acknowledgements are reconciled automatically inside Prophet 21 / IFS, so your team only looks at the POAs that disagree with what you ordered, instead of eyeballing every acknowledgement by hand. Because the AI vision engine is template-free, it reads acknowledgements in any supplier format on the first pass — no per-supplier setup, no zonal templates to maintain. It is the same document-to-ERP-transaction flow as sales order automation, applied to the purchasing side of the desk.

Returning customers get learned field mappings, so their orders flow through with no setup — when confidence is high, the sales order is written into the ERP with no human touch at all. For new customers, the AI suggests mappings from historical patterns across similar layouts, so a reviewer confirms rather than configures from scratch, and no template is ever built. Every confirmation feeds the self-improving engine, making the next order from that customer faster and pushing more volume into straight-through processing. Over time, order entry automation compounds: the long tail of one-off layouts shrinks, the touchless share grows, and CSRs spend their day on customers instead of document data extraction.

Yes. ESS maintains the order entry automation pipelines for both Prophet 21 and IFS, backed by 20+ years of integration experience and 25+ years across ERP platforms — including 15+ years of IFS expertise and IFS Gold Partner status. The same template-free AI vision reads any order layout and writes the record directly into whichever ERP you run, with no Epicor API module required — including on-premises P21. Distributors running both platforms across divisions get one sales order automation experience: one review interface, one set of learned mappings, and the same validation against live ERP data on both sides. There is no separate tool to buy, learn or maintain per ERP.

Your order data stays in your own environment. The platform runs in the client's own tenant on Microsoft Azure or AWS with enterprise encryption, and your customer orders are never used to train public AI models. Everything the AI reads during order capture — customer pricing, ship-to addresses, item detail — remains inside infrastructure you control, and the records it creates live only in your Prophet 21 / IFS instance. For organizations with the strictest requirements, a fully air-gapped, self-hosted option is available, so sales order automation can run entirely inside your own network. Privacy is built into the architecture of the platform, not bolted on afterward.