Sogrape
Sogrape
Supervisor

ERP Automation

Automated order processing, from inbound email to SAP

Sogrape processes hundreds of distributor orders a month across global markets. GenOS Supervisor replaced a manual, error-prone extraction process with an automated pipeline that handles matching, validation, and SAP submission, with human approval before commit.

Measured impact

94%

customer correspondence matching accuracy

82%

product SKU matching accuracy

15 min

per order reduced to near-automated

The challenge

With hundreds of shipments per month concentrated in a two-person team, the workload left no margin for error. The rules that governed order processing had never been written down: distributors used their own product identifiers, orders sometimes needed to be split into multiple SAP entries, unit sizes varied by client, and exception handling was informal. Automating this process meant first making the business logic legible — translating years of operational knowledge into deterministic rules, in close collaboration with the operators who held it.

The solution

The Case Manager workflow triggers on incoming email, extracts order data from PDF attachments and email bodies, and applies deterministic rules before the language model processes anything — rules handle the clear cases, the model handles the ambiguous ones. Where distributor product identifiers do not directly match SAP SKUs, the system infers the correct match and flags low-confidence cases for review. Orders that span multiple SAP entries are split automatically. The operator sees an editable table, reviews the extracted data, corrects any fields, and approves. A confirmation step runs before anything is written to SAP. The operator stays in control without touching the routine cases.

Agents deployed

Agent 01

Case Manager

Core workflow: monitors the inbound email mailbox, extracts order data from attachments and email bodies, matches products and customers against SAP, and presents a validated editable order for operator approval before commit.

Why this matters

Production AI improves when every decision is measurable, traceable, and owned.

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Next step

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