AI + Data = Supply Chain Risk Management!

I feel you.

I was there.

In the exact same position, you’re in now.

A cynic. A skeptic. A person, utterly exhausted with seeing those two letters: AI.

As we see from Deloitte’s CPO Survey in 2018, AI is only fully deployed in 2% of procurement organizations and is far from making any real impact at scale within the digital ecosystems procurement teams are so eagerly trying to build. To top it off, there’s only 27% percent of procurement leaders considering AI/Cognitive technology, and 55% who haven’t considered it at all.

Cut to 2019, Deloitte published its newest CPO Survey where they found that 81% of chief procurement officers with fully implemented solutions in the space of Supply Chain Risk & Compliance Management aren’t satisfied with their solutions.

81%.

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How AI and the IoT Can Change Transportation Management!

Analysts predict that by 2020, 75% of new cars will feature IoT connectivity. The percentage increase describes consumer applications, but the idea of connected vehicles should garner interest from other sectors such as shipping, logistics, and transportation management.

Leaders in these industries would be wise to plan for a future where AI and the IoT transform transportation management.

Here are five possible applications to consider:

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What is Big Data?

I remember manually plugging 16kB (that’s right “kilobyte”) memory chips into an original IBM Personal Computer.  The crunching sound they made was unforgettable.  I was ecstatic that I had increased the total memory to 128kB, and then to 256kB … WOW!   At that time that was a lot of memory.  Who could ever need to store that much data?  That was “Big Data“.

Let’s fast forward to today.  The memory on your handheld smartphone and other devices is measured in Gigabytes (GB).  Over 2.5 quintillion bytes of information are generated every day.  Every move, every transaction, every image, every event and every location in everyone’s  lives are recorded.

That is Big Data!

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The Impact of Artificial Intelligence (AI) Over the Next Half Decade!

Why half? For those who may find awkward the reference to “half a decade” and not the “next decade” here is why: AI is evolving at such a staggering rate that it is simply not possible to foresee the impact of Artificial Intelligence in 10 years’ time.

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Supply Chain Investment Challenges – Real and Imagined!

Everywhere you turn there is talk of a lot of very exciting technologies requiring Supply Chain investment.  The Internet of Things (IoT), Augmented Reality (AR), Drones and Autonomous Vehicles, Robotics, Virtual Reality (VR), Artificial Intelligence (AI) and Intelligent Analytics are front and centre.

And all of these technologies have applicability for the Supply Chain in every business and in every industry around the world.   The Digital Supply Chain vision is within our line of sight.

But most companies are still working with the same, manual, non-automated Supply Chains that they have had for at least the last decade.  And they will continue to do so in the foreseeable future.  They are faced with challenges which are going to impede technology investments to advance their Supply Chains going forward.

What are these Supply Chain challenges?

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Artificial Intelligence in E-Commerce! (Infographic)

The convergence of Artificial Intelligence (AI) in E-Commerce is underway.  Further it has the potential for exponential dissemination across the Retail landscape in the future along with expansion of it’s applications and capabilities.

From playing a role in managing the Customer Experience to providing Buying, Replenishment and Fulfillment capabilities to analyzing the ever growing expanse of Big Data, Artificial Intelligence (AI) is here to stay in Retail.

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