AI Document Automation for Inventory, Shipping & LC/Collections
Automatically turn inbound email documents into usable output: inventory imports, container planning, shipping labels, and LC/Collections packs — fast, consistent, and controlled.
In this B2B environment, critical documents arrived daily by email: scanned (handwritten) inventory sheets, packing lists, shipping lists, and LC/Collections documents. Staff manually converted these into spreadsheets, planned containers by weight, created shipping labels, and assembled financial document packs based on customer requirements. This was slow, error-prone, and caused delays across logistics and administration. We turned the inbox into a document-processing production line. Attachments are automatically recognized and processed based on type and content. Handwritten scans become structured inventory lines. Packing lists are grouped into containers within target weight ranges. Shipping labels are generated in the correct format. And for LC/Collections, the system reads customer documents to determine which documents and declarations are required, then builds a complete pack in a shared workspace. After processing, the sender receives a clear summary email with results and links to generated files. Only exceptions go to human review. Result: shorter lead times, fewer mistakes, and a scalable process that stays reliable during peak volume.
What we solved
| Problem | Before | After |
|---|---|---|
| Manual document handling removed | Scans, spreadsheets, and customer documents had to be manually converted into usable output. | Documents are automatically processed into inventory lines, container plans, labels, and document packs. |
| Fewer inventory and shipping errors | Retyping and manual sorting caused typos, inconsistencies, and miscommunication. | Validation and consistent processing reduce mistakes and deviations. |
| No more guesswork in container planning | Weight-based container planning was manual and often had to be redone. | Automatic grouping within target weight ranges produces a workable plan immediately. |
| Faster, more complete LC/Collections packs | Required documents and declarations were manually extracted from lengthy customer paperwork. | Requirements are automatically detected and the pack is built consistently. |
Highlights
- Automatic attachment type recognition with the right next step — no manual triage
- Faster logistics flow: inventory → packing → labels in one pipeline
- Built-in quality control: validations on key fields and exceptions routed to human review
- Clear email feedback: what succeeded, what failed, and links to output files
- Scales during peak volume: multiple attachments per email processed and reported cleanly
- Reliable change: regression tests ensure improvements don’t break existing flows
Results
Impact depends on document mix (scans vs spreadsheets vs LC/Collections), email volume, and internal workflow. Percentages reflect replacing manual conversion, planning, and document creation with an automated flow plus human review for exceptions.
Process flow
Technology
What clients say
“What previously required hours of manual administration is now handled automatically: packing lists are allocated to containers, shipping labels are generated, handwritten forms are digitized, and shipping documentation is prepared so the back office only needs to review instead of draft.”
“LCs and collections used to take hours of drafting. Now I receive a prepared file and only need to review it. It makes my work faster and far less stressful.”
