A delivery verification tool for documents, stickers, and box checks
The challenge behind the build
Delivery checks often require matching line items from a document against physical package stickers and box contents. Doing that manually is slow and easy to miss.
The implementation goal
SoFlow built a browser-based delivery checker that accepts delivery documents, processes sticker images with OCR, scores item matches, lets operators mark items found on sticker and in box, and exports verification results.
SoFlow built a browser tool that parses delivery documents, reads sticker images with OCR, matches items, tracks whether each item is on the sticker and in the box, an...
This is a strong proof card for internal operations tooling, especially if screenshots can show fake delivery data.
Our other projects
The brief was to make delivery checking less manual by comparing uploaded delivery documents with sticker images and operator confirmation.
Delivery checks often require matching line items from a document against physical package stickers and box contents. Doing that manually is slow and easy to miss.
The current project appears to be a browser prototype. Public content should not imply production logistics integration unless that is later verified.
SoFlow built a browser-based delivery checker that accepts delivery documents, processes sticker images with OCR, scores item matches, lets operators mark items found on sticker and in box, and exports verification results.
The browser parses PDF, Excel, or CSV delivery files into items, processes sticker images through OCR, compares GTIN/code/description signals, tracks confirmation state, and exports a dated JSON verification file.
- Delivery document upload for PDF, Excel, or CSV
- Sticker image OCR
- GTIN, code, and description matching
- On-sticker and in-box confirmation states
- Manual not-found and undo actions
- JSON export of verification results
This is a strong proof card for internal operations tooling, especially if screenshots can show fake delivery data.
- Source includes document parser, OCR processor, item matcher, status controls, and export behavior
- UI tracks Total Items, On Sticker, In Box, and Complete counts
Can this be adapted for another business?
Yes, if the same type of workflow, integration, or decision logic exists. The implementation should be scoped around the buyer's systems and public-safety needs.
Why put this in Webflow if external code is involved?
Webflow is the public storytelling and CMS layer. External code should stay in the app, Worker, or integration layer where it can be versioned, secured, and tested.
What is needed before publishing?
Use fake delivery documents and sticker images before publishing screenshots.
This work proves that SoFlow can turn a manual operational check into a focused browser tool with parsing, matching, and review states.
Can this be adapted for another business?
Yes, if the same type of workflow, integration, or decision logic exists. The implementation should be scoped around the buyer's systems and public-safety needs.
Why put this in Webflow if external code is involved?
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Delivery verification depended on manual comparison between documents, stickers, and box contents.
The prototype gives operators a structured checklist with OCR assistance and exportable evidence.
The workflow needs local file parsing, image OCR, item matching, status tracking, and export behavior rather than a static CMS page.
