How supply chain transparency can help the planet | Markus Mutz

81,285 views ・ 2020-02-14

TED


Please double-click on the English subtitles below to play the video.

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In almost all aspects of our lives
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we have perfect information available instantaneously.
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My phone can tell me everything about my finances,
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where precisely I am on a map
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and the best way to my next destination,
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all with a click of a button.
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But this availability of information and transparency
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almost completely disappears when it comes to consumer products.
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If you go to the seafood counter at your local supermarket,
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you can probably choose between several different types of fish.
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But chances are, they won't be able to tell you
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who caught the fish, where precisely it was caught,
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whether it is sustainable to catch it there
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and how it got transported.
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And that holds true for almost everything we buy.
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Every can of soup,
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every piece of meat, every T-shirt.
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We as humans, right now,
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are destroying the only thing we really need to survive:
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our planet.
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And most of the horrible problems that we're facing today,
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like climate change
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and modern slavery in supply chains,
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come down to decisions.
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Human decisions to produce something one way and not another.
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And that's how we, as consumers,
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end up making decisions that harm the planet
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or our fellow humans.
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By choosing the wrong products.
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But I refuse to believe that anybody here in this room,
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or frankly, anybody on this planet,
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really wants to buy a product
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that harms the planet or our fellow humans
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if given the choice.
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But you see, choice is a loaded word.
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Choice means there's another option.
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Choice means you can afford that option.
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But choice also means
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you have enough information to make an informed decision.
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And that information nowadays simply just doesn't exist.
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Or at least it's really, really hard to access.
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But I think this is about to change.
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Because we can use technology to solve this information problem.
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And many of the specific technologies that we need to do that
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have become better and cheaper over the recent years,
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and are now ready to be used at scale.
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So, over the past two years,
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my team and I have been working
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with one of the world's largest conservation organizations, WWF,
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and we've founded a company called OpenSC,
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where SC stands for supply chain.
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And we believe that by using technology
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we can help to create
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transparency and traceability in supply chains,
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and through that, help to completely revolutionize
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the way that we buy and also produce products as humans.
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Now, some of this is going to sound a little bit like science fiction,
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but it's already happening.
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Let me explain.
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So, in order to solve this information problem,
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we need to do three things:
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verify, trace and share.
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Verify specific sustainability
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and ethical production claims
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in a data-based and automated way.
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Then trace those individual physical products
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throughout their supply chains,
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and finally, share that information with consumers
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in a way that truly gives them a choice
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and lets them make consumption decisions
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that are more aligned with their values.
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I'm going to use a real product
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and a supply chain where we've made all of this a reality already:
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a Patagonian toothfish,
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or Chilean sea bass, as it's called in the US.
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Number one, verify.
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Verify how something is produced.
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But not just by saying, "Trust me, this is good,
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trust me, we've done all the right things,"
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but by producing evidence for that individual physical product,
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and the way it was produced.
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By producing evidence
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for a specific sustainability or ethical production claim.
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So for example, in the case of the fish,
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has this fish been caught in an area where there's enough of them,
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so that it's sustainable to catch it there
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and not in a marine protected area?
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So what we're doing here
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is we're taking almost real-time GPS data from the ship --
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the ship that's fishing --
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and that tells us where the ship is
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and where it's going at what speed.
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And we can then combine that with other types of data,
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like, for example, how deep the sea floor is.
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And combining all of this information,
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our machine-learning algorithms can then verify, in an automated way,
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whether the ship is only fishing where it's supposed to, or not.
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And as sensors become cheaper,
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we can put them in more places.
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And that means we can capture more data,
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and combining that with advancements in data science,
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it means that we can now verify
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specific sustainability and ethical production claims
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in an automated, real-time and ongoing manner.
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And that really lays the basis for this information revolution.
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So, number two, trace.
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Trace those individual physical products,
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so that we can truly say
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that the claim that we've verified about a certain product
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actually belongs to that individual product
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that we as consumers have right in front of us.
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Because without that level of traceability,
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all that we've really verified in the first place
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is that somebody, somewhere, at some point
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caught a fish in a sustainable way,
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or didn't harm the employee when asking them to produce a T-shirt,
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or didn't use pesticides when growing a vegetable that didn't actually need it.
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Only if I give a product an identity from the start
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and then trace it throughout the whole supply chain,
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can this claim and the value that's been created
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by producing it in the right way
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truly stay with it.
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Now, I've talked about cheaper sensors.
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There are many other technological developments
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that make all of this much more possible today than every before.
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For example, the falling costs of tags.
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You give a product a name,
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a serial number, an identity,
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the tag is its passport.
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What you can see here is a toothfish being caught.
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This is what's called a longline fishery,
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so the fish are coming up onto the boat on individual hooks.
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And as soon as the fish is on board,
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it is killed, and then after that,
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we insert a small tag into the fish's flesh.
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And in that tag, there is an RFID chip with a unique serial number,
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and that tag follows the fish throughout the whole supply chain
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and makes it really easy to sense its presence
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at any port, on any truck or in any processing plant.
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But consumers can't really read RFID tags.
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And so, when it comes to filleting and packaging the fish,
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we read the RFID tag and then remove it.
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And then we add a unique QR code to the packaging of the fish.
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And that QR code then points back to the same information
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that we've verified about the fish in the first place.
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And so, depending on the type of product that we're working with,
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we may use QR codes, bar codes, RFID tags
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or other tag technologies.
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But there are also technologies
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that are at the brink of large-scale breakthrough
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that make tags themselves obsolete.
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Like, for example,
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analyzing a product for trace elements
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that can then tell you quite accurately where it is actually from.
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Then there's blockchain.
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A decentralized technology can act as a catalyst for this revolution.
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Because it can help mitigate some of the trust issues
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that are inherent to giving people information
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and then asking them to change their consumption behavior
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because of that information.
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And so, we use blockchain technology
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where it adds value to what we're doing.
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But importantly,
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we don't let the limitations that this technology still has today,
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like, for example, with regards to scaling,
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we don't let that stand in our way.
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And that brings us to the third point.
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Share.
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How to share the information that we've verified and tracked
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about where a product is from, how it was produced
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and how it got to where it is?
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How to share this information
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is really different from product to product.
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And different from where you buy it.
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You behave differently in those situations.
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You are stressed and time-poor in the supermarket.
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Or with short attention span over dinner,
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because your date is so cute.
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Or you are critical and inquisitive
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when researching for a larger purchase online.
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And so for our fish,
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we've developed a digital experience
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that works when buying the fish in a freezer in a fish specialty store
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and that gives you all of the information about the fish and its journey.
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But we also worked with a restaurant
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and developed a different digital experience
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that only summarizes the key facts about the fish and its journey,
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and works better in a dinner setting
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and, hopefully, there doesn't annoy your date too much.
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Now, that brings us full circle.
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We've verified that the fish was caught
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in an area where it's sustainable to do so.
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We've then traced it throughout the entire supply chain
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to maintain its identity and all the information that's attached to it.
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And then, we've shared that information with consumers
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in a way that gives them a choice
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and lets them make consumption decisions
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that are more in line with their values.
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Now, for this fish example, this is already rolled out at scale.
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This season,
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the entire fleet of the world's largest toothfish fishing company,
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Austral Fisheries,
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is tagging every single fish that they catch
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and that ends up in their premium branded "Glacier 51" product.
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And you can already buy this fish.
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And with it, you can have all of the information I talked about today,
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and much more,
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attached to each individual fish or portion of the fish that you may buy.
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But this is not a fish or seafood thing.
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We're working on many, many different commodities and products
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and their supply chains across the globe.
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From dairy to fruit and vegetables,
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to nonfood products made out of wood.
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As a consumer, all of this may sound like a huge burden,
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because you don't have time to look at all of this information
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every time you buy something.
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And I don't expect you to,
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because you'll have help with that.
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In the future, we'll leave the decision of which specific product to buy
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increasingly up to machines.
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An algorithm will know enough about you
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to make those decisions for you, so you don't have to.
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And maybe it will even do a better job at it.
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In a recent study, 85 percent of those
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buying a product through a virtual assistant
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said that they, on occasion,
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actually went with the top product recommendation
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of that virtual assistant,
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rather than the specific product or brand
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that they set out to buy in the first place.
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You just say you need toilet paper,
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it's then an algorithm that decides which brand, price point
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or whether you go with recycled or not.
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Well, nowadays this is usually based on what you bought in the past,
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or whoever pays the most to the company behind the virtual assistant.
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But why shouldn't that be also based on your values?
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Knowing that you want to buy planet-friendly
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and knowing whether and how much you're willing and able to pay for that.
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Now, that will make it easy and seamless,
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but still based on granular effects and data
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to choose the right products.
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Not by necessarily doing it yourself
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but by asking an algorithm
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that knows how much you care about this planet.
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Not by necessarily doing it yourself
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but by asking an algorithm
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that is never time-poor or distracted,
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or with short attention span because of the cute date,
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and that knows how much you care about this planet
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and the people living on it,
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by asking that algorithm to look at all of that information for you
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and to decide for you.
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If we have reliable and trustworthy information like that
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and the right systems that make use of it,
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consumers will support those who are doing the right thing
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by producing products in a sustainable and ethical way.
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They will support them every time
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by choosing their goods over others.
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And that means that good producers and processors and retailers
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will get rewarded.
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And bad actors will be forced to adjust their practices
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or get out of business.
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And we need that.
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If we want to continue to live together on this beautiful planet,
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we really need it.
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Thank you.
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(Applause)
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