Turn incomplete, inconsistent supplier data into trusted, audit-grade data foundation

AI-led workflows ensure complete submissions, and the autonomous engine flags issues, fixes inconsistencies, and fills gaps for full coverage.

Why Trusted Data Matters

Across large supply chains, supplier submissions vary significantly in quality and completeness, which threatens data integrity.

Effective decarbonisation depends on trusted, high-quality data, yet supplier submissions rarely meet that standard. Variability in formats, missing fields, and manual errors create gaps that traditional validation processes cannot fix at scale. These gaps weaken targeting, slow action, and limit the impact of decarbonisation efforts.

The Trusted Data Workflow

Three intelligence-led steps that create complete, consistent, and audit-ready carbon data.

Collect

Supplier Data Platform

AI-led supplier engagement gathers complete submissions at scale.

Automated reminders and progress tracking improve response rates.

Standardised inputs ensure consistency from the start.

Validate

AI-Powered Data Validation

The engine detects anomalies, errors, and inconsistencies in real time.

Automated corrections and quality scoring reduce manual review.

A real-time view shows the status and integrity of every submission.

Complete

Data Completeness Tracking

Intelligent gap detection highlights missing suppliers, materials, and lanes.

Automated engagement helps close gaps and secure the remaining data.

A coverage view shows completeness across the entire supply chain.

Collect

Supplier Data Collection Platform

AI-led supplier engagement gathers complete submissions at scale.

Guided workflows simplify the process for every supplier.

Automated reminders and progress tracking improve response rates.

Standardised inputs ensure consistency from the start.

Validate

AI-Powered Data Validation

The engine detects anomalies, errors, and inconsistencies in real time.

Automated corrections and quality scoring reduce manual review.

A real-time view shows the status and integrity of every submission.

Complete

Data Completeness Tracking

Intelligent gap detection highlights missing suppliers, materials, and lanes.

Automated engagement helps close gaps and secure the remaining data.

A coverage view shows completeness across the entire supply chain.

70%

less time spent on manual validation.

80%

fewer supplier data errors.

90%+

coverage across suppliers and materials.

3x

faster audit-ready reporting.

The Impact of Integrity

From inconsistent inputs to reliable, audit-ready outputs.

Every capability starts with trusted data.

Trusted Data = Foundation of the Mavarick Platform

Trusted data is the foundation of effective decarbonisation. Mavarick ensures data integrity at scale, powering complete Scope 3 coverage, sourcing intelligence, and audit-ready compliance so teams can act with confidence.