of header fields ever edited, across 1,126,728 fields compared
Avery DennisonUse case
Fashion wholesale order capture and amendments
Sainapse reads retailer purchase orders for wholesale fashion (VAS instructions, size runs, and pack requirements included), matches every line to your article-color-size master data, and writes the order into SAP AFS. Avery Dennison runs it in production at a ~5% manual intervention rate, with 2.10% of header fields ever edited.
The problem
Retailer POs arrive dense with VAS instructions
A wholesale fashion PO is never just line items. Retailer POs carry Value-Added Services instructions (labels, ticketing, hangers, packing) plus size runs, pack ratios, and ship-window requirements bundled into every line.
Someone still keys those specs into SAP AFS one order at a time, maps retailer SKUs and UPCs against your article-color-size master data, and reopens the order every time a buyer amends a quantity, cancels a color, or pushes a ship date. Chargebacks and deduction disputes trace back to the same manual step, because compliance evidence is only as good as what a person remembered to capture the first time.
manual intervention rate on VAS-matched wholesale orders
zero-touch orders, up from 26% as monthly volume grew ~13×
How it works
Order to SAP, in four steps
1. Sainapse captures the PO.
Whether the order arrives by EDI, a portal, PDF, or email, Sainapse reads it in context, VAS instructions included, so a new retailer format doesn't need a new template and a new season doesn't need a rebuild.
2. Sainapse matches VAS instructions.
Labels, ticketing, hangers, and packing requirements get matched against your VAS rulebook per retailer, alongside size runs and pack ratios. Anything the rulebook does not cover goes to a reviewer with the retailer's own instruction attached.
3. Sainapse mediates the master data.
Retailer SKUs and UPCs get resolved against your article-color-size master data, so the order that lands in SAP carries the codes your team already runs on, not the retailer's.
4. Sainapse writes the sales order.
High-confidence orders post directly into SAP AFS, pack instructions and compliance evidence attached. Amendments route back through the same pipeline instead of starting over.
Sainapse vs. manual order entry
Template OCR reads the PO but stops at VAS instructions, size runs, and amendments. A person still keys those into SAP by hand. Sainapse doesn't.
| Manual entry | Template OCR | Sainapse | |
|---|---|---|---|
| VAS instructions | Keyed by hand per retailer rulebook | Not read; flat extraction only | Matched automatically against your VAS rulebook |
| Size runs & pack instructions | Re-keyed on every amendment | Dropped; needs a manual template per format | Captured with the order, updated on amendment |
| Master data | Manually cross-referenced retailer SKU to article-color-size | Returns raw fields, no mapping | Mediated automatically against your article-color-size data |
| Compliance evidence | Assembled after the fact, if at all | Not produced | Attached to every order at write time |
| Amendments | Full order re-keyed | New file, new manual pass | Routed back through the same pipeline |
What it runs on
Powered byDocument Intelligence · Master Data Mapping & Validation · End-to-End System Write
VocabularySAP AFS, CMIR, VAS matching, pack instructions, size runs
IntakeEDI, a portal, PDF, or email
Master dataRetailer SKU and UPC mediated against article-color-size, read from your existing SAP AFS master data
Writes toSAP AFS sales orders, pack instructions and compliance evidence attached
ExceptionsRouted by confidence, with the retailer rule and the reasoning attached
Common questions
Yes. Sainapse reads whichever format a retailer sends (EDI, PDF, portal export, or email) through the same pipeline. VAS matching and master-data mediation run identically regardless of input format, so a retailer switching from PDF to EDI doesn't change what your team sees downstream.
Every VAS match, size-run mapping, and master-data resolution is captured at write time, not reconstructed later. When a deduction dispute lands, the evidence for what was ordered, matched, and shipped is already attached to the order instead of being rebuilt from email threads.
The amendment routes back through the same pipeline as the original PO. Sainapse re-matches only what changed (a quantity, a color, a ship date) and updates the SAP order without re-keying the parts that didn't move.
Each retailer's Value-Added Services rulebook (label placement, ticketing, hangers, packing) is matched per line, per retailer. A rule Sainapse hasn't seen goes to a reviewer, and the correction becomes part of that retailer's matched rulebook going forward.
Avery Dennison runs Sainapse in production across its wholesale order flow. Across 28,377 orders reconstructed and 1,126,728 header fields compared, 2.10% of fields were ever edited and 62.93% of orders were touched by nobody; the header field-edit rate fell 8.4% → 1.37% while monthly volume grew ~13×. Manual intervention runs at ~5%.
Related
More on order capture
Purchase order automation
- Automate Purchase Order Processing
The same capture-to-SAP pipeline, without wholesale fashion's VAS and size-run layer.
Master data mapping for retail SKUs
- Master Data Mapping & Validation
The feature that resolves retailer SKU and UPC against your article-color-size master data.
Other document intelligence use cases
- All use cases
Every workflow Sainapse automates, grouped by document intelligence, customer support, and account intelligence.