WEBVTT

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Charlotte, Allon, thank you so
much for joining us.

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When it comes to measuring
emissions, are companies focused

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on the right thing?

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Well, we just released our
fourth edition of the BCG and

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CO2 AI survey where we asked
more than 1,500 companies across

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the globe that represent 40% of
emissions where they stand on

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measuring and reducing
emissions.

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And what we see is that,
overall, results are stagnating.

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Companies are not measuring
more, and they are not reducing

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more than they used to be in the
previous years.

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So, it's a bit disappointing.

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But, at the same time, what we
see is that more and more

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companies are embracing
product-level measurement,

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things like that--that actually
help accelerate both on

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measurement but on reduction
also.

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So, how can companies get
started on measuring product emissions?

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I guess usually is where
companies start is by focusing

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on your top products and try to
better understand what is

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lifecycle assessment from raw
material extraction to

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transformation to
transportation, usage, and disposal.

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Then, usually, they would get to
more broader set of products, to

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more impact-- not just climate
but entering to nature.

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Then, second step would require
to build the capabilities

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internally, to do it internally.

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And then, I think, the first
step would be to put it at scale

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with digitization.

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Maybe you can elaborate on that.

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Yes, at CO2 AI what we do is
that we help companies

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digitalize their carbon
footprint computation at product

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level and do that at scale

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across tens of thousands of
products because, at some point,

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once you have done, like, your
first big product, it's

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important to be able to scale
across the portfolio of products

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you have to be really able to
optimize this portfolio, make

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the right decisions, make the
right choices.

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And for that you need technology
like CO2 AI to do that at scale,

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in an efficient manner.

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And maybe both of you can help
with this.

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What would your advice for
companies be?

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First, get started.

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There's an ROI to adopt these
kinds of tools and approaches

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very fast.

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It allows to be competitive
advantage,  thanks to

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digitization AI.

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So my big advice is: let's get
started.

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OK, two pieces of advice.

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I think first is you have to
know what you are measuring your

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mission for.

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It doesn't have to be just for
reporting, but it has to be for

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actually changing the way you
operate by eco-designing your

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product, by providing
eco-labeling so that we inform

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your consumers on what is the
actual impact of your products.

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And second, I would say it's not
a piece of cake.

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Let's face it, you have to build
your database.

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You have to build your data
lake, both from the physical

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flows from your products and
from the emission factor

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database that you have to build.

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And you have to be helped to do
that because it's kind of complicated.

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We have built for years World
Food Database, World Apparel Database

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it's thousands of datasets that
enables you to pick the right

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emission factors.

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So you have to start now, as you
said, because it's a journey.

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Thank you so much.

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Thank you.

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Thanks.