{"id":6978,"date":"2016-05-31T02:30:08","date_gmt":"2016-05-31T09:30:08","guid":{"rendered":"http:\/\/editor.thinkapps.com\/blog\/?p=6978"},"modified":"2016-06-01T14:34:41","modified_gmt":"2016-06-01T21:34:41","slug":"machine-intelligence-clearmetal-interview","status":"publish","type":"post","link":"https:\/\/thinkapps.com\/blog\/development\/machine-intelligence-clearmetal-interview\/","title":{"rendered":"ClearMetal Uses Machine Learning to Disrupt Shipping Logistics [Interview]"},"content":{"rendered":"

This is part of a series on machine intelligence companies<\/a><\/span>. We interviewed\u00a0Beagle<\/a><\/span>,\u00a0Mariana<\/a><\/span>,\u00a0Beyond Verbal<\/a><\/span>,\u00a0Preteckt<\/span>,<\/a>\u00a0Eigen Innovations<\/a><\/span>,\u00a0and Affectiva<\/a><\/span>.\u00a0Now we’re turning our attention to\u00a0ClearMetal<\/a><\/span>.<\/em><\/p>\n

Most of us have no idea how the gadgets we use, the food we eat, and the products with which we surround ourselves make their way to us from their manufacturers. <\/span><\/p>\n

Sure, we might be vaguely aware that there are great big boats and shipping containers involved, but that\u2019s about the extent of our knowledge. Everything might as well make its way around the world via magic pixie dust.<\/span><\/p>\n

Adam Compain<\/a> knows that pixie dust isn\u2019t involved in the shipping process. Instead it\u2019s a complex juggling act involving so many ships, containers, ports, and businesses that it\u2019s hard for the rest of us to even imagine the size of this infrastructure. <\/span><\/p>\n

That\u2019s why he co-founded a company called ClearMetal<\/a>: To help shipping companies manage the chaos that thrives between points A and B.<\/span><\/p>\n

\"Machine<\/a><\/p>\n

We spoke with Adam to learn more about ClearMetal\u2019s technology, especially how it uses machine learning and artificial intelligence to predict what will happen as products make their way to us.<\/strong><\/p>\n

[Editor\u2019s note: The interview questions and responses below have been edited for clarity and length.]<\/em><\/p>\n

What’s your role at ClearMetal\u00a0and what does that entail?<\/h2>\n

I\u2019m a founder and CEO, so I\u2019m doing a little bit of everything. <\/span><\/p>\n

But generally what I\u2019m spending my time on these days is broadly ensuring that our company is focused, moving in the right direction, and has the resources to execute on its vision.<\/span><\/p>\n

What did you do before you founded ClearMetal?<\/h2>\n

I founded ClearMetal while I was at Stanford and working with a large Chinese shipping company. Before that I was at Google. <\/span><\/p>\n

I\u2019ve had a really long-running curiosity with shipping logistics<\/a>, stretching back to when I was a little kid. That curiosity led me to working for a large shipping company in Asia while getting my MBA. <\/span><\/p>\n

The problem I discovered was essentially that there was so much complexity and obscurity in operations for the logistics industry, and these carriers tell us that the technology they are able to get their hands on is pretty insufficient.<\/span><\/p>\n

\"Machine<\/a><\/p>\n

What’s the most challenging\u00a0aspect of\u00a0your role?<\/h2>\n

Honestly I think the hardest part is doing what our company is doing, which is bridging the gap between Silicon Valley technology and shipping and logistics operations. <\/span><\/p>\n

Every day, I spend a lot of time speaking with customers\u00a0and\u00a0people in the industry and having to 1) educate them about what does this technology do? and 2) explain how this technology can empower what they do on a daily basis. <\/span><\/p>\n

It\u2019s a lot about evangelizing the technology and educating about precisely how we can help our customers. <\/span><\/p>\n

And it\u2019s really hard because what we\u2019re doing is pretty disruptive \u2014 and I hate that buzzword \u2014 but it\u2019s a very new, cutting-edge technology for an industry that typically doesn\u2019t live with this technology.<\/strong><\/p>\n

So it\u2019s hard to create the belief and get them to realize that our technology is truly that powerful and really does result in the magnitude of improvement that other carriers whom we are already working with have already seen by using our platform.<\/div>\n

What does ClearMetal do?<\/h2>\n

What we do at our core is what we call predictive logistics. That\u2019s essentially using the most sophisticated technology available to solve the most complex operational problems in shipping and logistics.<\/strong><\/span><\/p>\n

To be a little more specific, the problem that we\u2019re solving is that shipping carriers, as well as other companies in the supply chain \u2014 ports and terminals, the brokers in the industry, the rail and trucking companies<\/a> \u2014 basically all of these companies have to deal with overwhelming complexity and uncertainty.<\/span><\/p>\n

To ship a container all the way from Shenzhen to Chicago, for example, there are a lot of things that can happen along that chain. <\/span><\/p>\n

There\u2019s a lot of uncertainty around customer behavior, cancellations, and stuff like that. There\u2019s also a lot of uncertainty around the market: Will commodity prices change? Will there be broader changes in cost? <\/span><\/p>\n

And then there\u2019s the problem of operations. When the ship arrives in port, will there be congestion? Will there be a delay? They have to worry about all of these problems.<\/span><\/p>\n

Basically they have all this complexity on one side, and because the tools they\u2019re using don\u2019t have the sophistication to predict this crazy uncertainty on the shipping cycle, they\u2019re left with a lot of unnecessary costs and complexity.<\/span><\/p>\n

\"Machine<\/a><\/p>\n

In basic terms, how does ClearMetal’s platform work?<\/h2>\n

What we\u2019re doing is we\u2019re using the most sophisticated technologies, like machine learning, to predict and forecast with much higher accuracy and granularity. <\/span><\/p>\n

We say, let\u2019s look at every single element in this cycle. Let\u2019s look at every booking, every behavior, every operational contingency. Let\u2019s figure out all the data under the surface. <\/span><\/p>\n

Let\u2019s predict what might happen, run millions of AI simulations to figure out precisely what will happen, and then with every new thing that happens, let\u2019s use our technology to update those predictions in real-time. <\/strong><\/p>\n

It\u2019s a much more powerful technology and a more granular approach.<\/span><\/p>\n

Basically, ClearMetal is resolving uncertainty and providing clarity to allow these companies to be more efficient. We figure out how to make sure they aren\u2019t left high and dry.<\/span><\/p>\n

What can we expect from ClearMetal in the future?<\/h2>\n

We\u2019re a predictive logistics company, and our core competency is on highly accurate and granular predictions. <\/span><\/p>\n

Where we\u2019re starting right now is this container management problem for container shipping. But what you can expect from us in the future is using\u00a0artificial intelligence and predictions to empower the operations of\u00a0companies throughout\u00a0the shipping and logistics landscape. <\/span><\/p>\n

Look out a couple of years, what\u2019s ClearMetal doing?\u00a0Enabling the\u00a0players in logistics to be the most sophisticated.<\/span><\/p>\n

Our core mission is making global trade more efficient by the use of this technology. <\/strong><\/span><\/p>\n

\"Machine<\/p>\n

What’s the most exciting trend in machine learning from ClearMetal’s perspective?<\/h2>\n

I think the most exciting trend is the increasing interest in and tolerance of this technology from mature\u00a0industries. Eric Schmidt<\/a> talks a lot about how artificial intelligence will totally transform every industry. <\/span><\/p>\n

So to us the most exciting trend is not necessarily on the technology front. Instead\u00a0it\u2019s more on the readiness of the world to adopt and implement these kinds of things.<\/span><\/p>\n

What advances in machine learning have benefitted ClearMetal the most?<\/h2>\n

One thing that\u2019s for sure is the industry technology infrastructure, at least in logistics, has matured to the point that you can apply this type of technology. The data is now there, it\u2019s retrievable, and in these industries like logistics, it\u2019s now being tracked and housed properly (with a grain of salt).<\/span><\/p>\n

Of course, we\u2019re seeing the decreasing costs of extremely powerful computing, which has helped quite a bit. We\u2019re also seeing some interesting front-end libraries that we\u2019re noticing allow companies to make quicker use of data and machine learning predictions. <\/span><\/p>\n

For this particular shipping problem, we\u2019ve created what we consider a proprietary pipeline of how we\u2019re using particular machine learning models, and we\u2019ve noticed other companies getting creative with their implementations of different tools, as well.<\/span><\/p>\n

\"Machine<\/p>\n

Does ClearMetal consider itself a machine learning company?<\/h2>\n

I would probably position us as an artificial intelligence company. But yeah, we are a data science and machine learning company. <\/span><\/p>\n

The reason for that is because 1) everything we do is from that approach, and 2) our core and how we solve problems is through predictive logistics, and the ability to power that prediction comes from machine learning and other technologies. <\/span><\/p>\n

Unlike other companies that have a lot of data and use machine learning to gain insights and do cool things, our core product and how we solve this problem is on a\u00a0platform built entirely on machine learning technologies.<\/span><\/p>\n

Do you have any serious competition in this space?<\/h2>\n

We do have a lot of large and very mature technology companies offering solutions to shipping carriers, for example, and they\u2019re talking all about big data and advanced analytics and these sorts of things. And they\u2019re even talking about machine learning. <\/span><\/p>\n

But what we haven\u2019t seen is anyone with the amount of focus and sophistication with machine learning to solve this problem. For us, it\u2019s the proprietary application of machine learning technology to the problem we\u2019re solving. <\/span><\/p>\n

We haven\u2019t seen anyone as focused as we are or as experienced as we are on solving this issue.<\/strong><\/p>\n

To the layman audience, I think we may be indistinguishable. But the reality is that, if you really understand the technology or the problem, you get that you need a deep specialist like us to do this, not a generalist that is simply looking for ways to apply their machine learning technology.<\/span><\/p>\n

Another team of AI experts couldn\u2019t really come into our space and do what we\u2019re doing with the success with which we\u2019re doing it because it requires such a nuanced understanding of the shipping industry and everything that goes into it.<\/p>\n

You have to have a lot of knowledge about how what\u2019s happening in the real world to apply this technology properly.<\/p>\n

 <\/p>\n

This post is part of a\u00a0series of\u00a0interviews with\u00a0machine intelligence companies<\/a><\/em>\u00a0that\u00a0are harnessing the power of machine learning and artificial intelligence in innovative ways. Stay tuned for more!<\/em><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

This interview features machine intelligence company ClearMetal, which is using AI and machine learning to disrupt shipping logistics and operations.<\/p>\n","protected":false},"author":69,"featured_media":7005,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5],"tags":[510,511,540,545,569,551,509,508,572,570,571],"acf":[],"yoast_head":"\nClearMetal Uses Machine Learning to Disrupt Shipping Logistics<\/title>\n<meta name=\"description\" content=\"This interview features machine intelligence company ClearMetal, which is using AI and machine learning to disrupt shipping logistics and operations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/thinkapps.com\/blog\/development\/machine-intelligence-clearmetal-interview\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" 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