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THE DATA YOU NEED TO CALCULATE SUPPLY CHAIN CO2 EMISSIONS – VOL. 2
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Filter: SC Resilient & Agile
WHAT DATA IS NEEDED TO CALCULATE SUPPLY CHAIN CO2 EMISSIONS? – WHITE PAPER VOLUME 2
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Technology Trends Barometer – 2026 Edition
The "France Supply Chain Technology Trends Barometer," in partnership with BearingPoint, aims to provide a comprehensive overview of the digital transformations currently underway in the ecosystem’s supply chains. Its goal is to share best practices as well as the
challenges encountered in digitalization projects.
After a few years of silence, this third edition of our overview highlights the emergence of a major focus: circularity. You will, of course, find all the topics related to supply chain digitization (automation, RPA, AI, traceability, etc.).
Through this survey, we sought to understand several things:
WHAT DRIVES
in other words, the issues at stake
'S INVESTMENTS
IN TECH
USE CASES
, AND EXISTING TECHNOLOGIES
WHAT DRIVES THE DECISION TO CHOOSE A PROJECT
rather than another for
for every technology or issue
PRIORITIES AND
: A VISION FOR THE FUTURE
This edition includes a qualitative analysis that allowed us to clarify the responses of certain participants through interviews and to provide greater depth and concreteness to this study (stakeholders from various industries and of different sizes).
HIGHLIGHTS
- Companies are becoming more mature and discerning: they are actively seeking the right solution, in the right place, for the right business.
- Some technologies have lost their appeal (blockchain)…
- … while others have become firmly established (RPA, traceability, IoT) …
- … or have emerged as new pillars (data platforms, AI-powered image recognition).
- Some battles now seem to be behind us; the next ones will focus onthe increased and smarter automation of physical and decision-making processes, and scaling them up.
Please fill out the form to download the resource and view the full results (after clicking on download, please scroll back to the bottom of the page to get the link to the resource)
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BAROMETER OF TECHNOLOGICAL TRENDS – 2026 EDITION
The “France Supply Chain Technology Trends Barometer,” in partnership with BearingPoint, aims to provide a comprehensive overview of the digital transformations currently taking place within the supply chain ecosystem. Its goal is to share best practices as well as the challenges encountered in digitalization projects.
After a few years of silence, this third edition of our overview highlights the emergence of a key focus: circularity. You will, of course, find all the topics related to supply chain digitization (automation, RPA, AI, traceability, etc.).
Through this survey, we sought to understand several things:
WHAT DRIVES
In other words,
'S INVESTMENTS IN TECH
the challenges
USE CASES
, AND TECHNOLOGIES
S IN PLACE
WHAT DRIVES
rather than a separate one for each
THE CHOICE
FOR A PROJECT
, technology, or challenge
PRIORITIES
, AND THE VISION
FOR THE FUTURE
This edition includes a qualitative analysis that enabled us to clarify the responses of certain participants through interviews and to provide greater depth and specificity to this study (stakeholders from various industries and of different sizes).
HIGHLIGHTS
- Companies are becoming more mature and discerning: they are actively seeking the right use case, in the right place, for the right business.
- Some technologies have lost their appeal (blockchain)…
- … while others have established themselves as long-term solutions (RPA, traceability, IoT)…
- … or have emerged as new pillars (data platforms, AI-powered image recognition).
- Some battles now seem to be behind us; the next ones will focus on the increased and smarter automation of physical and decision-making processes, and their scaling up.
Please fill out the form to download the resource and view the full results (after clicking Download, please scroll to the bottom of the page to access the link to the resource)
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THE DEMYSTIFIED DIGITAL JUMEAU: 3 use cases in transport, intralogistics and industry
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Practical Guide to Data Governance
This guide is designed as a practical tool, with concrete benchmarks and best practices. Each chapter covers a pillar of data governance:
- roles
- mapping
- security
- processes.
Data governance is not just about tools. It is a mindset, an organization, and a collective discipline. This guide offers you a practical approach.
Please fill in the form to download the guide
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Data Governance Guide
This guide is designed as a pragmatic tool, with concrete benchmarks and best practices. Each chapter covers one pillar of data governance:
- roles
- cartography
- safety
- process.
Data governance is not just about tools. It's a state of mind, an organization and a collective discipline. This guide proposes a progressive approach, aligned with the field, to structure your practices around these four pillars.
Please complete the form to download the resource:
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Predictive Artificial Intelligence at the service of inventory and customers at Rexel
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Predictive AI to Enhance Inventory and Customer Service at Rexel
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The Digital Twin: Demystification and Applications for the Supply Chain
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