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Zero@Textile
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Zero@Textile

From fragmented textile data to DPP readiness, PEF data preparation and audit-ready decision intelligence.

Zero@Textile helps brands, mills, suppliers and sustainability teams collect, structure and interpret supplier-side and factory-side data across the textile value chain. It does not replace LCA experts, auditors, certification bodies or existing ERP systems. It prepares the data foundation they need to work faster, cleaner and with higher trust.

Strategic Framing

Two Data Worlds. One Textile Intelligence Layer.

Textile sustainability data comes from two worlds: the product chain and the factory floor. Zero@Textile connects both perspectives by structuring supplier-side product data and factory-side operational data into readiness, evidence and decision-support workflows.

Product Chain Intelligence

Structures product-level Digital Product Passport (DPP) readiness, supplier data intake, evidence linking, PEF data preparation, and consumer-facing or verifier-facing passport previews across supply chain tiers.

Factory Data Intelligence

Reconstructs factory-side operational datasets covering energy loggers, water flows, production lists, chemicals, laboratory reports, certificates, and generates comparison-ready outputs against historical outputs.

The Problem

Textile data already exists. But it lives everywhere.

Textile companies already generate large amounts of operational and supplier data: ERP exports, Excel sheets, lab reports, certificates, energy and water records, shipment files, production sheets and sustainability declarations.

The problem is fragmentation. Data is often incomplete, inconsistent, unstructured or hard to reuse for DPP, PEF, audit and reporting workflows. Zero@Textile turns this fragmented data into a structured, evidence-linked and decision-ready data layer.

Supplier Data Fragmentation

Data is scattered across multiple suppliers, mills, and tiers with different styles, lots, and systems.

Missing Evidence Files

Certificates, lab sheets, and shipping invoices remain unlinked to specific batch metrics.

Different Naming Conventions

Varied names for identical materials, lots, or metrics complicate multi-facility audits.

Manual Reporting Workload

Dumping data into custom spreadsheets for every request consumes huge operational hours.

Weak Audit Readiness

Uncertain data confidence, missing logger data, and expired certificates are discovered too late.

Limited Layer Visibility

Brands lack visibility into yarn spinning, dyeing, sanforizing, or garment washing operational parameters.

Platform Modules

What Zero@Textile Does

Zero@Textile structures, verifies, and translates value chain datasets into decision intelligence.

01

Supplier Data Intake

Collects data from forms, Excel files, ERP exports, certificates, lab reports, emails, mobile inputs and future API feeds.

02

Mapping & Normalization

Translates different field names, formats and units into a common, structured textile data model.

03

Evidence Linking

Connects certificates, lab reports, invoices, production sheets and shipment documents to the relevant chain layer.

04

Missing Data Management

Highlights missing, inconsistent or weakly supported data points before they become audit problems.

05

Readiness Reporting

Generates DPP readiness, PEF data preparation, evidence coverage, confidence distribution and supplier action reports.

06

Passport Preparation

Creates consumer-facing and verifier-facing product passport previews from structured product data.

07

Factory Data Structuring

Turns factory-side ERP, Excel, meter, lab and production data into sustainability decision-support views.

08

Historical Comparison

Generates comparison-ready outputs that can be checked against known historical factory results.

Pilot Environments

Three Demonstration Tracks

Zero@Textile is demonstrated through three complementary pilot stories and cinematic guides.

Product Chain Intelligence Track

Denim Deal Board Demo

From commitments to supplier-side DPP / PEF readiness execution.

This board-level demo shows how a selected denim product can move from supplier data intake to mapping, evidence linking, readiness reports and consumer / verifier passport previews.

Core Data Workflow

Intake → Normalization → Gaps Check → Readiness Rpts → Passport Preview

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Product Chain Cinematic Track

Denim Deal Cinematic Demo

A guided executive walk-through showing how supplier data becomes passport-ready.

This cinematic explainer guides the viewer step-by-step through the supplier data execution sequence, visualizing the data validation flow from fiber to retail passport.

Core Data Workflow

Fibre Ingest → Yarn Tracking → Dyeing Evidence → Finished Goods → Retail DPP

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Factory Data Intelligence Track

Ekoten Fabrics Cinematic Demo

From factory data to sustainability decision intelligence.

This cinematic demo explains how factory data from SAP, ERP, Excel, meters, lab reports, certificates and historical records can be structured into one sustainability intelligence layer.

Core Data Workflow

Factory Ingest → Quality Validation → KPI Dashboard → Comparison → Executive Rpt

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The Process

How It Works

Zero@Textile does not assume that every supplier or factory already has perfect data. It supports realistic data entry channels and gradually structures the information into a common textile intelligence model.

Data Intake
Normalization
Evidence Link
Confidence Lvl
Readiness Rpts
DPP & Outputs
Target Users

Who It Is For

Empowering all value chain stakeholders to contribute to and use the same structured data layer.

Circularity Programs
Textile & Fabric Mills
Garment Manufacturers
Brands & Retail Teams
Sustainability / ESG Teams
Auditors & LCA Partners
Steering Committees
Factory Operations
Guardrails

What This Is / Is Not

Ensuring clear scope alignment for steering committees and operations.

This is:

  • A pilot-ready textile data execution layer
  • A DPP readiness and PEF data preparation tool
  • A way to structure evidence-linked supplier and factory data
  • A decision-support environment for textile sustainability workflows
  • A bridge between industrial operations and future verification workflows
  • A way to make missing and inconsistent data visible before audit deadlines

This is not:

  • A final LCA calculator
  • A certified PEF result generator
  • A certification body or auditor
  • A regulatory guarantee
  • A replacement for auditors, LCA experts, sustainability teams or ERP systems
  • A guarantee of official compliance approval
Pilot Metrics

How a Pilot Can Be Evaluated

A controlled pilot can start with one selected product, fabric, order or factory dataset.

We measure pilot success using practical and objective metrics rather than certifications:

75–80% Structured Coverage: Ingesting and mapping target electricity, steam, gas, water, and output datasets.
Evidence Coverage Improvement: Higher percentage of batch records linked directly to audits, invoices, or certificate uploads.
Missing Data Visibility: Gaps in logging, expired certifications, or anomalies clearly highlighted.
Confidence Level Improvement: Demonstrable metrics showing movement from declared to documented data confidence.
Comparison-Ready Outputs: Platform outputs can be cleanly benchmarked against known historical results.
Usable Evidence Packs: Auto-compiling a structured dossier of evidence for sustainability and audit teams.
Workflow Compatibility: Zero disruption of daily operations or software tools during pilot.
Actionable Management Reports: Decision-ready dashboards useful for executive steering committee reviews.
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1. Denim Deal Board Demo 2. Denim Deal Cinematic Demo 3. Ekoten Fabrics Cinematic Demo Demo session is saved. Session ends when you close the browser.

Start a Controlled Pilot

Zero@Textile can be piloted with one selected product, one selected fabric/order or one selected factory data package. Evaluate how we structure existing operational logs into auditable value layers.

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Or email us directly at: [email protected]