How IMG Group Built an Auditable Scope 3 Emissions Baseline Across a Plastics Manufacturing Supply Chain

From fragmented supplier data to AI-powered carbon transparency.

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Overview

About IMG Group

IMG Group is a family-owned multinational active in the polymers industry since 1959 and a pioneer in PET extrusion. The Group comprises four companies: Evertis, Selenis, Renascis and Renewis.

Evertis is a premium producer of PET barrier films for food packaging and other applications. Selenis manufactures specialty copolyesters for a wide range of applications. Renascis focuses on PET recycling, while Renewis supplies clean energy and carbon reduction services — both playing an essential role in IMG’s regenerative strategy.

With global supply chains and complex logistics flows, sustainability and data transparency are becoming core strategic priorities.

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How IMG Group Turns Complex Data Into Actionable Sustainability Insights

IMG Group partnered with Footprint Intelligence to transform fragmented purchasing and logistics data into a consistent and assured Scope 3 emissions baseline. By leveraging AI-driven data cleansing, classification, and emissions modeling, IMG achieved reliable insights across upstream and downstream value-chain emissions — at a scale that would be impossible to achieve manually.

Challenge

Sustainability Data at Industrial Scale

As IMG’s sustainability ambitions grew, so did the complexity of its data landscape.

Challenges:

  • Supplier purchases recorded inconsistently across six entities

  • Operations across Brazil, U.S., Mexico, Italy, Portugal

  • Logistics data fragmented across routes/modes

  • Manual preparation was slow + error-prone

  • Difficulty calculating Scope 3 at entity + transportation level

What made the difference:

  • AI-powered data cleansing and standardization across entities

  • Automated categorization of suppliers, materials, and services

  • Sophisticated transport modeling for multi-modal logistics optimization

  • Reliable, precise emissions calculations aligned with Scope 3 standards

The Turning Point

Instead of simplifying assumptions, IMG chose to tackle complexity head-on.

Together with Footprint Intelligence, IMG focused on one key principle:
If sustainability data is not standardized, traceable, and scalable — it cannot drive real action.

Solution

AI-Powered Data Standardization & Emissions Modeling

Footprint Intelligence deployed its AI-enabled sustainability platform to ingest, cleanse, and model IMG’s purchasing and logistics data at scale.


What made the difference:

  • AI-driven data cleansing and harmonization

  • Automated classification of suppliers, materials, and services

  • Advanced transport modeling for multi-modal logistics

  • Audit-ready emissions calculations aligned with Scope 3 standards

“With Footprint Intelligence, we collaborated across departments and worked through multiple iterations to transform complex purchasing and logistics data into a reliable Scope 3 emissions baseline. Footprint Intelligence expertise and innovative approach ensured a seamless process, giving us the assurance we needed to develop a carbon footprint founded on robust and dependable data.”

— Sustainability / Operations Lead, IMG Group

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Powered by the Footprint Intelligence Platform.

Outputs

Data Processing for Logistics & Purchasing Emissions

Standardized raw logistics data from multiple suppliers into a single, usable format

Corrected data quality issues, including incorrect addresses and inconsistent records

Calculated supplier-level transport distances, accounting for multi-modal logistics flows

Enabled Scope 3 Category 4 (upstream) and Category 9 (downstream) emissions calculations

Analyzed purchasing data to derive Scope 3 Category 1 and Category 2 emissions

Delivered a consistent, auditable emissions baseline

Results

Results

Computer screen displaying a setup interface for creating a CSRD report, with options to select categories like Materials and Transport, upload support files, and set report language to German.

Data harmonization at scale

  • Standardized raw data from multiple suppliers into a single, usable structure

  • Corrected inconsistent records, incorrect addresses, and incomplete datasets

Dashboard displaying CO2 emissions data with categories like Facility, Mobility, Purchases, Logistics, Customers. Shows Total Emission, Emission per Employee, and Energy Consumption. Includes bar chart and scope details for emissions.

AI-powered logistics emissions modeling

  • Processed over 30,000 transport routes using AI

  • Calculated supplier-level transport distances across complex, multi-modal logistics flows

  • Enabled Scope 3 Category 4 (upstream) and Category 9 (downstream) emissions calculations

Intelligent purchasing & materials classification

  • Classified thousands of purchases and materials using AI

  • Mapped purchasing data to Scope 3 Category 1 and Category 2 emissions

  • Created transparency across material types, suppliers, and carbon intensity

A consistent, auditable emissions baseline

  • Delivered a single source of truth for Scope 3 emissions

  • Enabled traceability and auditability for internal and external reporting

Centralized data collection, several reports.

By centralizing data and automating report creation, the Footprint platform enabled IMG Group to produce an accurate sustainability report for its members Selenis and Evertis—saving time and ensuring full traceability of every figure.

Selenis Sustainability Report 2024

Evertis Sustainability Report 2024

Inspired by IMG’s journey?


See how AI-powered sustainability intelligence can help industrial and chemical companies turn complexity into clarity.