How supply chain transparency can help the planet Markus Mutz

In almost all aspects of our lives

we have perfect information
available instantaneously.

My phone can tell me
everything about my finances,

where precisely I am on a map

and the best way to my next destination,

all with a click of a button.

But this availability
of information and transparency

almost completely disappears
when it comes to consumer products.

If you go to the seafood counter
at your local supermarket,

you can probably choose
between several different types of fish.

But chances are,
they won’t be able to tell you

who caught the fish,
where precisely it was caught,

whether it is sustainable
to catch it there

and how it got transported.

And that holds true
for almost everything we buy.

Every can of soup,

every piece of meat, every T-shirt.

We as humans, right now,

are destroying the only thing
we really need to survive:

our planet.

And most of the horrible problems
that we’re facing today,

like climate change

and modern slavery in supply chains,

come down to decisions.

Human decisions to produce something
one way and not another.

And that’s how we, as consumers,

end up making decisions
that harm the planet

or our fellow humans.

By choosing the wrong products.

But I refuse to believe
that anybody here in this room,

or frankly, anybody on this planet,

really wants to buy a product

that harms the planet
or our fellow humans

if given the choice.

But you see, choice is a loaded word.

Choice means there’s another option.

Choice means you can afford that option.

But choice also means

you have enough information
to make an informed decision.

And that information nowadays
simply just doesn’t exist.

Or at least it’s really,
really hard to access.

But I think this is about to change.

Because we can use technology
to solve this information problem.

And many of the specific technologies
that we need to do that

have become better and cheaper
over the recent years,

and are now ready to be used at scale.

So, over the past two years,

my team and I have been working

with one of the world’s largest
conservation organizations, WWF,

and we’ve founded a company called OpenSC,

where SC stands for supply chain.

And we believe that by using technology

we can help to create

transparency and traceability
in supply chains,

and through that,
help to completely revolutionize

the way that we buy
and also produce products as humans.

Now, some of this is going to sound
a little bit like science fiction,

but it’s already happening.

Let me explain.

So, in order to solve
this information problem,

we need to do three things:

verify, trace and share.

Verify specific sustainability

and ethical production claims

in a data-based and automated way.

Then trace those
individual physical products

throughout their supply chains,

and finally, share
that information with consumers

in a way that truly gives them a choice

and lets them make consumption decisions

that are more aligned with their values.

I’m going to use a real product

and a supply chain where we’ve made
all of this a reality already:

a Patagonian toothfish,

or Chilean sea bass,
as it’s called in the US.

Number one, verify.

Verify how something is produced.

But not just by saying,
“Trust me, this is good,

trust me, we’ve done
all the right things,”

but by producing evidence
for that individual physical product,

and the way it was produced.

By producing evidence

for a specific sustainability
or ethical production claim.

So for example, in the case of the fish,

has this fish been caught in an area
where there’s enough of them,

so that it’s sustainable
to catch it there

and not in a marine protected area?

So what we’re doing here

is we’re taking almost real-time
GPS data from the ship –

the ship that’s fishing –

and that tells us where the ship is

and where it’s going at what speed.

And we can then combine that
with other types of data,

like, for example,
how deep the sea floor is.

And combining all of this information,

our machine-learning algorithms
can then verify, in an automated way,

whether the ship is only fishing
where it’s supposed to, or not.

And as sensors become cheaper,

we can put them in more places.

And that means we can capture more data,

and combining that
with advancements in data science,

it means that we can now verify

specific sustainability
and ethical production claims

in an automated, real-time
and ongoing manner.

And that really lays the basis
for this information revolution.

So, number two, trace.

Trace those individual physical products,

so that we can truly say

that the claim that we’ve verified
about a certain product

actually belongs
to that individual product

that we as consumers
have right in front of us.

Because without
that level of traceability,

all that we’ve really
verified in the first place

is that somebody, somewhere, at some point

caught a fish in a sustainable way,

or didn’t harm the employee
when asking them to produce a T-shirt,

or didn’t use pesticides when growing
a vegetable that didn’t actually need it.

Only if I give a product
an identity from the start

and then trace it
throughout the whole supply chain,

can this claim and the value
that’s been created

by producing it in the right way

truly stay with it.

Now, I’ve talked about cheaper sensors.

There are many other
technological developments

that make all of this much more possible
today than every before.

For example, the falling costs of tags.

You give a product a name,

a serial number, an identity,

the tag is its passport.

What you can see here
is a toothfish being caught.

This is what’s called a longline fishery,

so the fish are coming up
onto the boat on individual hooks.

And as soon as the fish is on board,

it is killed, and then after that,

we insert a small tag
into the fish’s flesh.

And in that tag, there is an RFID chip
with a unique serial number,

and that tag follows the fish
throughout the whole supply chain

and makes it really easy
to sense its presence

at any port, on any truck
or in any processing plant.

But consumers can’t really read RFID tags.

And so, when it comes to filleting
and packaging the fish,

we read the RFID tag and then remove it.

And then we add a unique QR code
to the packaging of the fish.

And that QR code then points back
to the same information

that we’ve verified about the fish
in the first place.

And so, depending on the type
of product that we’re working with,

we may use QR codes, bar codes, RFID tags

or other tag technologies.

But there are also technologies

that are at the brink
of large-scale breakthrough

that make tags themselves obsolete.

Like, for example,

analyzing a product for trace elements

that can then tell you quite accurately
where it is actually from.

Then there’s blockchain.

A decentralized technology
can act as a catalyst for this revolution.

Because it can help mitigate
some of the trust issues

that are inherent
to giving people information

and then asking them
to change their consumption behavior

because of that information.

And so, we use blockchain technology

where it adds value to what we’re doing.

But importantly,

we don’t let the limitations
that this technology still has today,

like, for example,
with regards to scaling,

we don’t let that stand in our way.

And that brings us to the third point.

Share.

How to share the information
that we’ve verified and tracked

about where a product is from,
how it was produced

and how it got to where it is?

How to share this information

is really different
from product to product.

And different from where you buy it.

You behave differently
in those situations.

You are stressed and time-poor
in the supermarket.

Or with short attention span over dinner,

because your date is so cute.

Or you are critical and inquisitive

when researching
for a larger purchase online.

And so for our fish,

we’ve developed a digital experience

that works when buying the fish
in a freezer in a fish specialty store

and that gives you all of the information
about the fish and its journey.

But we also worked with a restaurant

and developed a different
digital experience

that only summarizes the key facts
about the fish and its journey,

and works better in a dinner setting

and, hopefully, there
doesn’t annoy your date too much.

Now, that brings us full circle.

We’ve verified that the fish was caught

in an area where
it’s sustainable to do so.

We’ve then traced it throughout
the entire supply chain

to maintain its identity and all
the information that’s attached to it.

And then, we’ve shared
that information with consumers

in a way that gives them a choice

and lets them make consumption decisions

that are more in line with their values.

Now, for this fish example,
this is already rolled out at scale.

This season,

the entire fleet of the world’s largest
toothfish fishing company,

Austral Fisheries,

is tagging every single fish
that they catch

and that ends up in their premium
branded “Glacier 51” product.

And you can already buy this fish.

And with it, you can have all
of the information I talked about today,

and much more,

attached to each individual fish
or portion of the fish that you may buy.

But this is not a fish or seafood thing.

We’re working on many, many
different commodities and products

and their supply chains across the globe.

From dairy to fruit and vegetables,

to nonfood products made out of wood.

As a consumer, all of this
may sound like a huge burden,

because you don’t have time
to look at all of this information

every time you buy something.

And I don’t expect you to,

because you’ll have help with that.

In the future, we’ll leave the decision
of which specific product to buy

increasingly up to machines.

An algorithm will know enough about you

to make those decisions for you,
so you don’t have to.

And maybe it will even do
a better job at it.

In a recent study, 85 percent of those

buying a product
through a virtual assistant

said that they, on occasion,

actually went with the top
product recommendation

of that virtual assistant,

rather than the specific product or brand

that they set out
to buy in the first place.

You just say you need toilet paper,

it’s then an algorithm that decides
which brand, price point

or whether you go with recycled or not.

Well, nowadays this is usually based
on what you bought in the past,

or whoever pays the most to the company
behind the virtual assistant.

But why shouldn’t that be also
based on your values?

Knowing that you want
to buy planet-friendly

and knowing whether and how much
you’re willing and able to pay for that.

Now, that will make it easy and seamless,

but still based
on granular effects and data

to choose the right products.

Not by necessarily doing it yourself

but by asking an algorithm

that knows how much you care
about this planet.

Not by necessarily doing it yourself

but by asking an algorithm

that is never time-poor or distracted,

or with short attention span
because of the cute date,

and that knows how much
you care about this planet

and the people living on it,

by asking that algorithm to look
at all of that information for you

and to decide for you.

If we have reliable
and trustworthy information like that

and the right systems that make use of it,

consumers will support those
who are doing the right thing

by producing products
in a sustainable and ethical way.

They will support them every time

by choosing their goods over others.

And that means that good
producers and processors and retailers

will get rewarded.

And bad actors will be forced
to adjust their practices

or get out of business.

And we need that.

If we want to continue to live together
on this beautiful planet,

we really need it.

Thank you.

(Applause)

在我们生活的几乎所有方面,

我们都可以即时获得完美的信息

我的手机可以告诉我
关于我的财务状况的所有信息,

我在地图上的确切位置

以及前往下一个目的地的最佳方式

,只需点击一下按钮。

但在消费品方面,这种
信息的可用性和透明度

几乎完全消失
了。

如果您去当地超市的海鲜柜台

您可能可以
在几种不同类型的鱼之间进行选择。

但很有可能,
他们无法告诉你是

谁钓到了这条鱼,
它是在哪里捕获的,在那里捕获

它是否可持续

以及它是如何运输的。

这适用
于我们购买的几乎所有东西。

每一罐汤,

每一块肉,每一件T恤。

作为人类,我们现在

正在摧毁
我们唯一真正需要生存的东西:

我们的星球。

我们今天面临的大多数可怕问题,

例如气候变化

和供应链中的现代奴隶制,

都归结为决策。

人类决定以
一种方式而不是另一种方式生产某些东西。

这就是我们作为消费者

最终
做出损害地球

或人类同胞的决定的方式。

通过选择错误的产品。

但我拒绝相信
这个房间里的任何人,

或者坦率地说,这个星球上的任何人,如果有选择的话,

真的想购买

一种危害地球
或我们人类同胞的产品

但是你看,选择是一个加载词。

选择意味着有另一种选择。

选择意味着您可以负担得起该选择。

但选择也意味着

您有足够的信息
来做出明智的决定。

而现在这些信息
根本不存在。

或者至少它
真的非常难以访问。

但我认为这种情况即将改变。

因为我们可以用技术
来解决这个信息问题。

近年来
,我们需要做的

许多特定技术变得更好、更便宜

,现在已经准备好大规模使用。

所以,在过去的两年里,

我和我的团队一直在

与世界上最大的
保护组织之一世界自然基金会合作

,我们成立了一家名为 OpenSC 的公司,

其中 SC 代表供应链。

我们相信,通过使用技术,

我们可以帮助在供应链中创造

透明度和可追溯性

并通过这种方式,
帮助

彻底改变我们
作为人类购买和生产产品的方式。

现在,其中一些听起来
有点像科幻小说,

但它已经发生了。

让我解释。

所以,为了解决
这个信息问题,

我们需要做三件事:

验证、追踪和共享。 以基于数据的自动化方式

验证特定的可持续性

和道德生产声明

然后在整个供应链中追踪这些
单独的实物产品

,最后

以一种真正给他们选择的方式与消费者分享这些信息

,让他们做出

更符合他们价值观的消费决策。

我将使用真正的产品

和供应链,我们已经使
这一切成为现实

:巴塔哥尼亚牙鱼,

或智利鲈鱼,
在美国被称为。

第一,验证。

验证某物是如何产生的。

但不仅仅是说,
“相信我,这很好,

相信我,我们做了
所有正确的事情”,

而是通过
为单个实物产品

及其生产方式提供证据。

通过

为特定的可持续性
或道德生产声明提供证据。

例如,以鱼为例

,这条鱼是否是
在有足够多的鱼的区域捕获的,所以在

那里捕获它

而不是在海洋保护区是可持续的?

所以我们在这里所做的

是我们从船上获取几乎实时的
GPS 数据

——这艘正在捕鱼的船

——它告诉我们船

在哪里以及它以什么速度行驶。

然后我们可以将其
与其他类型的数据结合起来,

例如,
海底有多深。

结合所有这些信息,

我们的机器学习算法
可以自动验证

这艘船是否只
在它应该去的地方捕鱼。

随着传感器变得更便宜,

我们可以将它们放置在更多地方。

这意味着我们可以捕获更多数据,

并将其
与数据科学的进步相结合,

这意味着我们现在可以

以自动化、实时
和持续的方式验证特定的可持续性和道德生产声明。

这确实
为这场信息革命奠定了基础。

所以,第二,追踪。

追踪那些单独的实物产品,

这样我们就可以真正地

说,我们已经验证过的
关于某个产品的声明

实际上属于

我们作为消费者
就在我们面前的那个单独的产品。

因为没有
这种级别的可追溯性

,我们首先真正
验证的

只是某人在某个地方

以可持续的方式钓到了一条鱼,

或者
在要求员工生产 T- 时没有伤害员工 衬衫,

或者在种植
实际上不需要的蔬菜时不使用杀虫剂。

只有我
从一开始就给产品一个身份

,然后
在整个供应链中追踪它

,这种主张和

以正确的方式生产它所创造的价值才能

真正留在它身上。

现在,我谈到了更便宜的传感器。

还有许多其他的
技术发展

使今天的这一切变得
比以往任何时候都更有可能。

例如,标签成本的下降。

你给一个产品一个名字、

一个序列号、一个身份

,标签就是它的护照。

你在这里看到的
是一条被捕获的牙鱼。

这就是所谓的延绳钓渔业,

所以鱼会
靠着单独的钩子上船。

鱼一上船,

就被杀死,然后,

我们
在鱼肉里插入一个小标签。

在那个标签中,有一个
带有唯一序列号的 RFID 芯片

,该标签
在整个供应链中跟踪鱼,

并且

在任何港口、任何卡车
或任何加工厂都可以很容易地感知它的存在。

但消费者无法真正读取 RFID 标签。

因此,在对鱼进行切片
和包装时,

我们会读取 RFID 标签,然后将其取下。

然后我们
在鱼的包装上添加一个独特的二维码。

然后,该二维码指向

我们首先验证的关于鱼
的相同信息。

因此,根据
我们正在使用的产品类型,

我们可能会使用二维码、条形码、RFID 标签

或其他标签技术。

但也有一些

技术处于大规模突破的边缘

,使标签本身过时了。

例如,

分析产品中的微量元素

,然后可以非常准确地告诉您
它的实际来源。

然后是区块链。

去中心化技术
可以成为这场革命的催化剂。

因为它可以帮助缓解
一些固有的信任问题

,这些问题是
向人们提供信息

,然后要求他们因为这些信息
而改变他们的消费行为

因此,我们使用区块链技术

为我们正在做的事情增加价值。

但重要的是,

我们不会
让这项技术今天仍然存在的限制,

例如,
在扩展方面,

我们不会让这些限制我们。

这将我们带到第三点。

分享。

如何
共享我们已经验证和跟踪的

关于产品来自何处、
如何生产

以及如何到达目的地的信息?

如何共享这些信息

因产品而异。

并且与您购买它的地方不同。 在这些情况下,

您的行为会有所不同

你在超市里压力大,时间
紧。

或者在晚餐时注意力不集中,

因为你的约会对象太可爱了。

或者,您在网上搜索大宗商品时会挑剔且好奇

因此,对于我们的鱼,

我们开发了一种数字体验

,可以
在鱼专卖店的冷冻箱中购买鱼时使用,

并为您提供
有关鱼及其旅程的所有信息。

但我们也与一家餐厅合作

,开发了一种不同的
数字体验

,它只总结了
关于鱼及其旅程的关键事实,

在晚餐环境中效果更好

,希望
不会让你的约会太烦。

现在,这给我们带来了完整的循环。

我们已经证实,这条鱼是

在可持续捕捞的区域捕获
的。

然后,我们在整个供应链中对其进行了跟踪,

以维护其身份和
所有附加信息。

然后,我们
与消费者分享这些信息

,让他们有选择权

,让他们做出

更符合他们价值观的消费决策。

现在,对于这个鱼的例子,
这已经大规模推出了。

本季,

世界上最大的
牙鱼捕捞公司

Austral Fisheries 的整个船队都在


他们捕获的每条鱼贴上标签,

并最终使用他们的优质
品牌“Glacier 51”产品。

你已经可以买到这条鱼了。

有了它,您可以获得
我今天谈到的所有信息,

以及更多信息,

附加
到您可能购买的每条鱼或鱼的一部分。

但这不是鱼或海鲜。

我们正在全球范围内研究许多
不同的商品和产品

及其供应链。

从乳制品到水果和蔬菜,

再到用木头制成的非食品产品。

作为消费者,所有这些
听起来可能是一个巨大的负担,

因为你没有时间
在每次购买东西时查看所有这些信息

我不希望你这样做,

因为你会在这方面得到帮助。

将来,我们将越来越多地让机器
决定购买哪种特定产品

算法将足够了解您

来为您做出这些决定,
因此您不必这样做。

也许它甚至会
做得更好。

在最近的一项研究中,85% 通过虚拟助手

购买产品的人

表示,他们有时

实际上会

选择该虚拟助手的顶级产品推荐,

而不是他们打算购买的特定产品或品牌

。 第一名。

你只是说你需要卫生纸,

然后它是一个算法来决定
哪个品牌、价格点

或者你是否使用再生纸。

好吧,现在这通常是
基于你过去购买的东西,

或者是向虚拟助手背后的公司支付最多费用的人

但是为什么不应该也
基于你的价值观呢?

知道您
想购买对地球友好的产品,

并知道您是否
愿意以及有能力为此支付多少费用。

现在,这将使它变得简单和无缝,

但仍然
基于精细的效果和数据

来选择合适的产品。

不一定要自己做,

而是要问一个

知道你
对这个星球有多关心的算法。

不一定要自己做,

而是要问一个

从不浪费时间或分心的算法,

或者
因为可爱的约会

而注意力不集中,并且知道你有多
关心这个星球

和生活在上面的人们,

通过询问 该算法为您
查看所有信息并

为您做出决定。

如果我们拥有这样可靠
和值得信赖的信息

以及使用这些信息的正确系统,那么

消费者将

通过
以可持续和合乎道德的方式生产产品来支持那些做正确事情的人。

他们每次都会

通过选择他们的商品而不是其他人来支持他们。

这意味着优秀的
生产商、加工商和零售商

将获得回报。

不良行为者将
被迫调整他们的做法

或破产。

我们需要那个。

如果我们想继续
在这个美丽的星球上共同生活,

我们真的需要它。

谢谢你。

(掌声)