How supply chain transparency can help the planet | Markus Mutz

79,469 views ・ 2020-02-14

TED


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

00:13
In almost all aspects of our lives
0
13042
2059
00:15
we have perfect information available instantaneously.
1
15125
4208
00:20
My phone can tell me everything about my finances,
2
20042
3267
00:23
where precisely I am on a map
3
23333
2226
00:25
and the best way to my next destination,
4
25583
2143
00:27
all with a click of a button.
5
27750
2559
00:30
But this availability of information and transparency
6
30333
3101
00:33
almost completely disappears when it comes to consumer products.
7
33458
3625
00:38
If you go to the seafood counter at your local supermarket,
8
38208
3310
00:41
you can probably choose between several different types of fish.
9
41542
3809
00:45
But chances are, they won't be able to tell you
10
45375
2559
00:47
who caught the fish, where precisely it was caught,
11
47958
3143
00:51
whether it is sustainable to catch it there
12
51125
2268
00:53
and how it got transported.
13
53417
2041
00:56
And that holds true for almost everything we buy.
14
56083
2893
00:59
Every can of soup,
15
59000
1768
01:00
every piece of meat, every T-shirt.
16
60792
2517
01:03
We as humans, right now,
17
63333
2268
01:05
are destroying the only thing we really need to survive:
18
65625
3518
01:09
our planet.
19
69167
1267
01:10
And most of the horrible problems that we're facing today,
20
70458
3018
01:13
like climate change
21
73500
1268
01:14
and modern slavery in supply chains,
22
74792
2684
01:17
come down to decisions.
23
77500
1726
01:19
Human decisions to produce something one way and not another.
24
79250
5684
01:24
And that's how we, as consumers,
25
84958
2226
01:27
end up making decisions that harm the planet
26
87208
2976
01:30
or our fellow humans.
27
90208
1643
01:31
By choosing the wrong products.
28
91875
2083
01:35
But I refuse to believe that anybody here in this room,
29
95167
3351
01:38
or frankly, anybody on this planet,
30
98542
2059
01:40
really wants to buy a product
31
100625
1893
01:42
that harms the planet or our fellow humans
32
102542
3434
01:46
if given the choice.
33
106000
1333
01:48
But you see, choice is a loaded word.
34
108583
2185
01:50
Choice means there's another option.
35
110792
2351
01:53
Choice means you can afford that option.
36
113167
3017
01:56
But choice also means
37
116208
1476
01:57
you have enough information to make an informed decision.
38
117708
4060
02:01
And that information nowadays simply just doesn't exist.
39
121792
5059
02:06
Or at least it's really, really hard to access.
40
126875
3250
02:11
But I think this is about to change.
41
131625
2018
02:13
Because we can use technology to solve this information problem.
42
133667
4059
02:17
And many of the specific technologies that we need to do that
43
137750
3059
02:20
have become better and cheaper over the recent years,
44
140833
3685
02:24
and are now ready to be used at scale.
45
144542
2892
02:27
So, over the past two years,
46
147458
1393
02:28
my team and I have been working
47
148875
1684
02:30
with one of the world's largest conservation organizations, WWF,
48
150583
4226
02:34
and we've founded a company called OpenSC,
49
154833
3643
02:38
where SC stands for supply chain.
50
158500
2333
02:41
And we believe that by using technology
51
161708
2393
02:44
we can help to create
52
164125
3351
02:47
transparency and traceability in supply chains,
53
167500
3309
02:50
and through that, help to completely revolutionize
54
170833
3518
02:54
the way that we buy and also produce products as humans.
55
174375
4583
03:00
Now, some of this is going to sound a little bit like science fiction,
56
180333
3851
03:04
but it's already happening.
57
184208
1851
03:06
Let me explain.
58
186083
1250
03:08
So, in order to solve this information problem,
59
188208
2601
03:10
we need to do three things:
60
190833
1685
03:12
verify, trace and share.
61
192542
3267
03:15
Verify specific sustainability
62
195833
3476
03:19
and ethical production claims
63
199333
1810
03:21
in a data-based and automated way.
64
201167
2851
03:24
Then trace those individual physical products
65
204042
2851
03:26
throughout their supply chains,
66
206917
1684
03:28
and finally, share that information with consumers
67
208625
3018
03:31
in a way that truly gives them a choice
68
211667
2434
03:34
and lets them make consumption decisions
69
214125
1976
03:36
that are more aligned with their values.
70
216125
2809
03:38
I'm going to use a real product
71
218958
3310
03:42
and a supply chain where we've made all of this a reality already:
72
222292
4434
03:46
a Patagonian toothfish,
73
226750
1268
03:48
or Chilean sea bass, as it's called in the US.
74
228042
3017
03:51
Number one, verify.
75
231083
1750
03:53
Verify how something is produced.
76
233792
2559
03:56
But not just by saying, "Trust me, this is good,
77
236375
2809
03:59
trust me, we've done all the right things,"
78
239208
2185
04:01
but by producing evidence for that individual physical product,
79
241417
4017
04:05
and the way it was produced.
80
245458
2268
04:07
By producing evidence
81
247750
1268
04:09
for a specific sustainability or ethical production claim.
82
249042
3767
04:12
So for example, in the case of the fish,
83
252833
2851
04:15
has this fish been caught in an area where there's enough of them,
84
255708
3893
04:19
so that it's sustainable to catch it there
85
259625
2018
04:21
and not in a marine protected area?
86
261667
2684
04:24
So what we're doing here
87
264375
1351
04:25
is we're taking almost real-time GPS data from the ship --
88
265750
3893
04:29
the ship that's fishing --
89
269667
1517
04:31
and that tells us where the ship is
90
271208
2226
04:33
and where it's going at what speed.
91
273458
2560
04:36
And we can then combine that with other types of data,
92
276042
3142
04:39
like, for example, how deep the sea floor is.
93
279208
2768
04:42
And combining all of this information,
94
282000
2643
04:44
our machine-learning algorithms can then verify, in an automated way,
95
284667
4142
04:48
whether the ship is only fishing where it's supposed to, or not.
96
288833
3792
04:53
And as sensors become cheaper,
97
293875
2559
04:56
we can put them in more places.
98
296458
2018
04:58
And that means we can capture more data,
99
298500
2351
05:00
and combining that with advancements in data science,
100
300875
2809
05:03
it means that we can now verify
101
303708
3268
05:07
specific sustainability and ethical production claims
102
307000
4018
05:11
in an automated, real-time and ongoing manner.
103
311042
4184
05:15
And that really lays the basis for this information revolution.
104
315250
4143
05:19
So, number two, trace.
105
319417
2184
05:21
Trace those individual physical products,
106
321625
3059
05:24
so that we can truly say
107
324708
2018
05:26
that the claim that we've verified about a certain product
108
326750
2726
05:29
actually belongs to that individual product
109
329500
2976
05:32
that we as consumers have right in front of us.
110
332500
2518
05:35
Because without that level of traceability,
111
335042
3309
05:38
all that we've really verified in the first place
112
338375
2851
05:41
is that somebody, somewhere, at some point
113
341250
2851
05:44
caught a fish in a sustainable way,
114
344125
2309
05:46
or didn't harm the employee when asking them to produce a T-shirt,
115
346458
4893
05:51
or didn't use pesticides when growing a vegetable that didn't actually need it.
116
351375
4833
05:57
Only if I give a product an identity from the start
117
357292
3934
06:01
and then trace it throughout the whole supply chain,
118
361250
2768
06:04
can this claim and the value that's been created
119
364042
3601
06:07
by producing it in the right way
120
367667
2309
06:10
truly stay with it.
121
370000
1583
06:13
Now, I've talked about cheaper sensors.
122
373542
2601
06:16
There are many other technological developments
123
376167
2476
06:18
that make all of this much more possible today than every before.
124
378667
4226
06:22
For example, the falling costs of tags.
125
382917
2958
06:26
You give a product a name,
126
386792
3059
06:29
a serial number, an identity,
127
389875
2018
06:31
the tag is its passport.
128
391917
2184
06:34
What you can see here is a toothfish being caught.
129
394125
3309
06:37
This is what's called a longline fishery,
130
397458
2310
06:39
so the fish are coming up onto the boat on individual hooks.
131
399792
4226
06:44
And as soon as the fish is on board,
132
404042
2267
06:46
it is killed, and then after that,
133
406333
2268
06:48
we insert a small tag into the fish's flesh.
134
408625
3434
06:52
And in that tag, there is an RFID chip with a unique serial number,
135
412083
4518
06:56
and that tag follows the fish throughout the whole supply chain
136
416625
3018
06:59
and makes it really easy to sense its presence
137
419667
2184
07:01
at any port, on any truck or in any processing plant.
138
421875
3518
07:05
But consumers can't really read RFID tags.
139
425417
3267
07:08
And so, when it comes to filleting and packaging the fish,
140
428708
4226
07:12
we read the RFID tag and then remove it.
141
432958
2893
07:15
And then we add a unique QR code to the packaging of the fish.
142
435875
4226
07:20
And that QR code then points back to the same information
143
440125
4476
07:24
that we've verified about the fish in the first place.
144
444625
2750
07:29
And so, depending on the type of product that we're working with,
145
449083
3851
07:32
we may use QR codes, bar codes, RFID tags
146
452958
3768
07:36
or other tag technologies.
147
456750
1768
07:38
But there are also technologies
148
458542
2101
07:40
that are at the brink of large-scale breakthrough
149
460667
2392
07:43
that make tags themselves obsolete.
150
463083
1976
07:45
Like, for example,
151
465083
1601
07:46
analyzing a product for trace elements
152
466708
2726
07:49
that can then tell you quite accurately where it is actually from.
153
469458
3518
07:53
Then there's blockchain.
154
473000
1393
07:54
A decentralized technology can act as a catalyst for this revolution.
155
474417
4809
07:59
Because it can help mitigate some of the trust issues
156
479250
3768
08:03
that are inherent to giving people information
157
483042
3476
08:06
and then asking them to change their consumption behavior
158
486542
3184
08:09
because of that information.
159
489750
2351
08:12
And so, we use blockchain technology
160
492125
2684
08:14
where it adds value to what we're doing.
161
494833
3226
08:18
But importantly,
162
498083
1268
08:19
we don't let the limitations that this technology still has today,
163
499375
3143
08:22
like, for example, with regards to scaling,
164
502542
2059
08:24
we don't let that stand in our way.
165
504625
1976
08:26
And that brings us to the third point.
166
506625
2476
08:29
Share.
167
509125
1268
08:30
How to share the information that we've verified and tracked
168
510417
3851
08:34
about where a product is from, how it was produced
169
514292
2809
08:37
and how it got to where it is?
170
517125
2476
08:39
How to share this information
171
519625
1934
08:41
is really different from product to product.
172
521583
2851
08:44
And different from where you buy it.
173
524458
2310
08:46
You behave differently in those situations.
174
526792
2559
08:49
You are stressed and time-poor in the supermarket.
175
529375
3643
08:53
Or with short attention span over dinner,
176
533042
2267
08:55
because your date is so cute.
177
535333
2185
08:57
Or you are critical and inquisitive
178
537542
3017
09:00
when researching for a larger purchase online.
179
540583
3167
09:04
And so for our fish,
180
544750
1601
09:06
we've developed a digital experience
181
546375
2934
09:09
that works when buying the fish in a freezer in a fish specialty store
182
549333
5768
09:15
and that gives you all of the information about the fish and its journey.
183
555125
3809
09:18
But we also worked with a restaurant
184
558958
2643
09:21
and developed a different digital experience
185
561625
2976
09:24
that only summarizes the key facts about the fish and its journey,
186
564625
3559
09:28
and works better in a dinner setting
187
568208
2435
09:30
and, hopefully, there doesn't annoy your date too much.
188
570667
3559
09:34
Now, that brings us full circle.
189
574250
2351
09:36
We've verified that the fish was caught
190
576625
3018
09:39
in an area where it's sustainable to do so.
191
579667
2976
09:42
We've then traced it throughout the entire supply chain
192
582667
2601
09:45
to maintain its identity and all the information that's attached to it.
193
585292
4101
09:49
And then, we've shared that information with consumers
194
589417
2559
09:52
in a way that gives them a choice
195
592000
1809
09:53
and lets them make consumption decisions
196
593833
2143
09:56
that are more in line with their values.
197
596000
2542
09:59
Now, for this fish example, this is already rolled out at scale.
198
599542
4101
10:03
This season,
199
603667
1267
10:04
the entire fleet of the world's largest toothfish fishing company,
200
604958
3560
10:08
Austral Fisheries,
201
608542
1351
10:09
is tagging every single fish that they catch
202
609917
2851
10:12
and that ends up in their premium branded "Glacier 51" product.
203
612792
3333
10:17
And you can already buy this fish.
204
617208
2143
10:19
And with it, you can have all of the information I talked about today,
205
619375
3893
10:23
and much more,
206
623292
1476
10:24
attached to each individual fish or portion of the fish that you may buy.
207
624792
4250
10:30
But this is not a fish or seafood thing.
208
630583
4060
10:34
We're working on many, many different commodities and products
209
634667
3184
10:37
and their supply chains across the globe.
210
637875
2393
10:40
From dairy to fruit and vegetables,
211
640292
2601
10:42
to nonfood products made out of wood.
212
642917
2767
10:45
As a consumer, all of this may sound like a huge burden,
213
645708
4518
10:50
because you don't have time to look at all of this information
214
650250
3518
10:53
every time you buy something.
215
653792
2476
10:56
And I don't expect you to,
216
656292
1726
10:58
because you'll have help with that.
217
658042
3101
11:01
In the future, we'll leave the decision of which specific product to buy
218
661167
5351
11:06
increasingly up to machines.
219
666542
2184
11:08
An algorithm will know enough about you
220
668750
2226
11:11
to make those decisions for you, so you don't have to.
221
671000
4476
11:15
And maybe it will even do a better job at it.
222
675500
2851
11:18
In a recent study, 85 percent of those
223
678375
2434
11:20
buying a product through a virtual assistant
224
680833
3018
11:23
said that they, on occasion,
225
683875
1809
11:25
actually went with the top product recommendation
226
685708
2351
11:28
of that virtual assistant,
227
688083
1268
11:29
rather than the specific product or brand
228
689375
2059
11:31
that they set out to buy in the first place.
229
691458
2726
11:34
You just say you need toilet paper,
230
694208
1810
11:36
it's then an algorithm that decides which brand, price point
231
696042
4434
11:40
or whether you go with recycled or not.
232
700500
3059
11:43
Well, nowadays this is usually based on what you bought in the past,
233
703583
4226
11:47
or whoever pays the most to the company behind the virtual assistant.
234
707833
4185
11:52
But why shouldn't that be also based on your values?
235
712042
4416
11:57
Knowing that you want to buy planet-friendly
236
717625
2559
12:00
and knowing whether and how much you're willing and able to pay for that.
237
720208
5476
12:05
Now, that will make it easy and seamless,
238
725708
3518
12:09
but still based on granular effects and data
239
729250
2268
12:11
to choose the right products.
240
731542
2059
12:13
Not by necessarily doing it yourself
241
733625
2226
12:15
but by asking an algorithm
242
735875
2309
12:18
that knows how much you care about this planet.
243
738208
3560
12:21
Not by necessarily doing it yourself
244
741792
1976
12:23
but by asking an algorithm
245
743792
2101
12:25
that is never time-poor or distracted,
246
745917
2791
12:29
or with short attention span because of the cute date,
247
749792
3809
12:33
and that knows how much you care about this planet
248
753625
2726
12:36
and the people living on it,
249
756375
1434
12:37
by asking that algorithm to look at all of that information for you
250
757833
3851
12:41
and to decide for you.
251
761708
1500
12:44
If we have reliable and trustworthy information like that
252
764500
4184
12:48
and the right systems that make use of it,
253
768708
2476
12:51
consumers will support those who are doing the right thing
254
771208
3351
12:54
by producing products in a sustainable and ethical way.
255
774583
4101
12:58
They will support them every time
256
778708
2018
13:00
by choosing their goods over others.
257
780750
2333
13:04
And that means that good producers and processors and retailers
258
784042
4934
13:09
will get rewarded.
259
789000
1268
13:10
And bad actors will be forced to adjust their practices
260
790292
4351
13:14
or get out of business.
261
794667
1875
13:17
And we need that.
262
797333
1643
13:19
If we want to continue to live together on this beautiful planet,
263
799000
3768
13:22
we really need it.
264
802792
1851
13:24
Thank you.
265
804667
1267
13:25
(Applause)
266
805958
2500
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7