Semantic layer · How value, product, data, consent and carbon move
AD data, money, product, consent & carbon flows
Filter · 5 flow types
Click a type to filter · click a row to drill
Exhibit · Flow lane diagram
From supplier → plant → DC → converter → brand → retailer → consumer → recycler
Suppliers
AD Plants
AD DCs
Converter / Brand factory
Retailer / Store
Consumer
AD platforms (atma.io · Optica · MES)
Regulator / Public
Customer · Brand owner
→
Avery Dennison
Purchase order / invoice payment
~$8.9B revenue / yr
Avery Dennison
→
Suppliers (paper, film, IC)
Procurement spend
~$3.5B COGS
Retailer / brand
→
Avery Dennison
atma.io subscription revenue
~$120M ARR (target $500M+ by FY28)
Suppliers
→
AD Plants (200+)
Raw materials inbound
~1.8M tons / yr
AD Plants
→
Regional DCs
Finished label / inlay / embellishment
~30B items / yr
AD DCs
→
Converter / Brand factory
Roll-fed / sheet label & inlay shipment
OTIF target 98%
Brand factory
→
Retailer DC / store
Finished goods with AD label/tag applied
≈1 AD item per garment / SKU
AD plants (MES + CV-QC)
→
AD Lakehouse
Yield, OEE, defect telemetry
~50M events / day
RFID readers (retail / DC)
→
atma.io
Item-level scan events
300+ items / second (30B+ cumulative)
atma.io
→
Brand customer · Retailer
Inventory + provenance + analytics
Sub-second queries
Consumer phone (NFC/QR)
→
atma.io
Scan-to-engage events
Rising — Burton + adidas pilots
Customer orders + price changes
→
AD Pricing AI
Quote / win-loss data
~10k quotes / day
AD plants + grid
→
atma.io carbon module
Scope 1 + Scope 2 emissions per item
-70% by 2030 vs 2015
Supply chain (suppliers + customers)
→
atma.io carbon module
Scope 3 emissions allocation
-30% by 2030 vs 2018
Each row is a typed flow. Click any row to expand evidence + owner + linked KG nodes.
Exhibit · All flows table
Tabular view — same data, sortable
| ID | Type | From | To | What | Volume | System | Owner |
|---|---|---|---|---|---|---|---|
| F.M1 | $ Money | Customer · Brand owner | Avery Dennison | Purchase order / invoice payment | ~$8.9B revenue / yr | SAP S/4HANA + EDI 810/850 | COMM.O2C |
| F.M2 | $ Money | Avery Dennison | Suppliers (paper, film, IC) | Procurement spend | ~$3.5B COGS | SAP Ariba | OPS.PROC |
| F.M3 | $ Money | Retailer / brand | Avery Dennison | atma.io subscription revenue | ~$120M ARR (target $500M+ by FY28) | Stripe + Salesforce CPQ | SG.ATMA |
| F.P1 | Product | Suppliers | AD Plants (200+) | Raw materials inbound | ~1.8M tons / yr | WMS + EDI 856 ASN | OPS.LOG |
| F.P2 | Product | AD Plants | Regional DCs | Finished label / inlay / embellishment | ~30B items / yr | MES → WMS | OPS.PLANT |
| F.P3 | Product | AD DCs | Converter / Brand factory | Roll-fed / sheet label & inlay shipment | OTIF target 98% | TMS | OPS.LOG |
| F.P4 | Product | Brand factory | Retailer DC / store | Finished goods with AD label/tag applied | ≈1 AD item per garment / SKU | Brand WMS | Brand customer |
| F.D1 | Data event | AD plants (MES + CV-QC) | AD Lakehouse | Yield, OEE, defect telemetry | ~50M events / day | Kafka → Databricks | OPS.PLANT |
| F.D2 | Data event | RFID readers (retail / DC) | atma.io | Item-level scan events | 300+ items / second (30B+ cumulative) | atma.io ingestion API | SG.ATMA |
| F.D3 | Data event | atma.io | Brand customer · Retailer | Inventory + provenance + analytics | Sub-second queries | REST/GraphQL APIs | SG.ATMA |
| F.D4 | Data event | Consumer phone (NFC/QR) | atma.io | Scan-to-engage events | Rising — Burton + adidas pilots | Mobile SDK + web tap | SG.ATMA |
| F.D5 | Data event | Customer orders + price changes | AD Pricing AI | Quote / win-loss data | ~10k quotes / day | Salesforce + custom pricing engine | COMM.PRICE |
| F.C1 | Consent / authority | Brand owner | atma.io | Data-sharing permissions per SKU | Contractual | atma.io policy engine | SG.ATMA |
| F.C2 | Consent / authority | EU Regulator | Brand + atma.io | DPP mandatory disclosure (ESPR) | Per-item lifecycle data | DPP standard schema | STRAT.ESG.DPP |
| F.C3 | Consent / authority | Consumer | Brand via atma.io | Right-to-info / repair / resale request | Emerging | Public DPP portal | SG.ATMA |
| F.X1 | Carbon | AD plants + grid | atma.io carbon module | Scope 1 + Scope 2 emissions per item | -70% by 2030 vs 2015 | Hedera HCS-backed ledger | STRAT.ESG.GHG |
| F.X2 | Carbon | Supply chain (suppliers + customers) | atma.io carbon module | Scope 3 emissions allocation | -30% by 2030 vs 2018 | Supplier carbon API | STRAT.ESG.GHG |