New: AI Agent in WARO—Let Your Impact Data Speak for Itself

The WARO platform aggregates a wealth of data on the brand value chain—including traceability, material selection, suppliers, and environmental impact—at a high level of detail, broken down by product, collection, and supplier. However, this data remains largely underutilized: cross-analyzing it is complex and time-consuming, placing a burden on two types of teams.

The CSR Team

• Only the CSR team has the expertise to analyze the results in detail. The other teams do not make use of this data, even though it is extremely valuable for their decision-making.
• Explaining the discrepancy between two collections, two suppliers, or two years requires in-depth analysis, which is often done manually in Excel, department by department.
• Due to a lack of time and resources to analyze them, these data are often left unused when it comes to developing and steering the path toward reducing environmental impact

Business Teams

• They are increasingly being asked to incorporate environmental considerations into their design and sourcing decisions, but often lack knowledge on the subject.

On both sides, the same questions keep coming up:

• "Why did our impact increase between these two collections?"
• "Why does this product have this environmental impact?"
• "What has the greatest impact on my product line?"

Simply having data is no longer enough: each team must be able to understand it on its own, and the CSR department must free up time to steer the strategy and harness the full potential of the data.

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Why use AI in WARO?

At WARO, our mission is to help brands truly reduce their environmental impact. We believe that a reduction strategy only works if business teams take ownership of it just as much as the CSR team does. To achieve this, measurement alone is not enough; everyone must be able to understand and analyze impact data to turn it into concrete decisions—a task that currently requires time and expertise.

That’s why we’ve built AI directly into WARO. It draws on your data, your context, WARO’s calculation engine, and official methodologies to help your teams spend less time searching and analyzing, and more time taking action.

Specifically, it addresses three challenges:

• Making environmental information understandable: getting an explanation of each result in plain language
• Facilitate the analysis and identification of areas for improvement so you can devote more time to managing your reduction strategy.
• Simplify adoption by your teams: make the impact accessible to product developers without requiring LCA training.

Why not just a general-purpose AI?

Some brands are already exporting their data to analyze it using a consumer-facing AI tool. With WARO's AI:

• All your data is cross-referenced to provide context for each response:impact data, traceability data, your brand’s context, and CSR goals—AI connects all this information. A general-purpose AI system only sees the export file shared with it, which is often incomplete.
• It operates within a specific framework. Its responses are based on a clear scope defined by WARO, an understanding of your context and the market, and the expertise of our teams.

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How This Will Affect Your Teams

Your CSR teams spend less time analyzing and more time managing

‍1. Save time on analyses: analyze an entire collection, prepare a report, or put together a steering committee meeting in just a few minutes.

2. Conduct more in-depth analyses: understand what causes the impact to vary between two collections, two years, or two suppliers

3. Facilitate adoption by business units: WARO’s AI incorporates educational features into the platform to help your Product and Procurement teams build their skills and make decisions independently.

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Your product, purchasing, and sourcing teams have the resources they need to better understand and make decisions

1. WARO’s AI provides educational resources to help understand the impact of products:

• A detailed explanation of a product’s impact—whether related to materials, processes, or countries—to draw lessons from it before the next collection.
• Explaining a surprising result: Identify the best-performing products in your collections and analyze the ones that aren't performing as well.

2. Gain autonomy: Get your analysis the moment a question arises, without having to wait for analyses from the CSR team.

And what about the support you receive from the WARO team?

AI is designed to enhance the support provided by WARO’s teams, not to replace them. Your point people will continue to work alongside you to develop your action plans and guide your progress, engage your teams, lead internal change, and train your teams on both the platform and the use of AI.

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Upcoming Changes

This initial version helps you better understand and analyze your impacts more quickly. Future updates will take things even further: AI will be able to work alongside you to unlock the full potential of your data:

• Eco-designing Your Products: Identifying Eco-Design Leverage Points to Achieve Your Impact Reduction Goals
• Developing Your Impact Reduction Strategy: AI will help you identify the relevant levers and develop an action plan to achieve your goals.
• Track your goals in real time: reach your goals in just a few minutes by monitoring your progress throughout the year.
• Developing Your Sourcing Strategy: Balancing Suppliers and Production Countries While Taking Your Cost and Margin Constraints Into Account.

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Our Commitments Regarding Your Data and the Environmental Impact of AI

Integrating AI into WARO raises two legitimate questions:

• Protecting Your Data: We Place Particular Emphasis on Its Confidentiality
• The environmental impact of AI. Our mission is to help brands reduce their impact: we cannot ignore the impact of our own tools.

These two issues are the focus of special attention and ongoing monitoring.

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