Ronaldo: The Efficient Machine & AI Sentience in the Manufacturing Supply Chain

AI Sentience in the Manufacturing Supply Chain

Ronaldo: The Efficient Machine & AI Sentience in the Manufacturing Supply Chain

I know for a fact that AI is smarter than me but can it date and form relationships—apparently yes, (Her 2013), and multiple ones—because AI can now process emotions. It can read facial expressions, predict all kinds of stuff, read, write, even write music, lip-read, and hold your breath… troll.

However, it still can’t play football like Ronaldo because he is a human anomaly, and AI is simulated human intelligence. In fact, in a documentary Cristiano Ronaldo – Tested to The Limit | A Machine, sports science experts have used AI to forensically analyse what makes him such an ‘efficient machine’. Others are trying—DeepBrain AI created an online version of Ronaldo as a ninja, not a footballer, using AI Video Synthesis or Face Swap Technology. On the other hand, in 2021, British artificial intelligence researchers DeepMind and the iconic Liverpool FC formed a partnership to bring AI to the world’s most popular game. Liverpool provided them with data from all of their Premier League games starting 2017 to 2019, and DeepMind plugged in data to predict various scenarios for any given action. It categorised players and could predict where they were most likely to kick the ball.

CR7 & Henderson playing football

AI is Everywhere!

Artificial Intelligence harnesses the power of data analytics and automation to create cognitive technology that can be integrated in the real world to connect, optimise, and augment the collaboration between humans and machines. The applicability of AI has already become mainstream and rapidly growing with Gartner predicting that AI software will be valued at $62 billion in 2022, an increase of 21.3 percent from 2021, while the global market value is expected to reach a whopping $267 billion by 2027!

Today AI is as much a part of our day-to-day lives as it is in solving global challenges such as climate change, disease control, and integral to improve economies and societies through its analytical and predictive capabilities. Governments are implementing AI systems to create public policies, while industries are integrating it to increase productivity and elevate customer experiences.

To further process how deep AI has already permeated into our world, check out these stats.

AI & Human Sentience

The question arises, is AI smarter than humans? Researchers headed by Feng Liu at the Chinese Academy of Science in Beijing devised a test to compare the two and discovered that with a score of 47.28 points, AI’s intelligence is ranked just below that of a six year-old human (55.5 points). The test focused on digital assistants such as Siri and Cortana but smarter amongst these was the Google Assistant. This in scientific terms is highly impressive, but what’s more noteworthy is that AI’s intelligence doubled in just two years and continues to evolve exponentially. At this rate, AI could easily outmaneuver humans in a few decades!

Facts about AI

Understanding the Types of AI

Nick Bostrom, a Swedish-born philosopher with a background in theoretical physics, computational neuroscience, logic, and artificial intelligence said, “Machine intelligence is the last invention that humanity will ever need to make”. This rings true if one considers the 6 sub-streams of AI and its unlimited potency in maximising the potential of human endeavours.

Sub streams of Artificial Intelligence

Looking at these technologies, it’s safe to say that the limitations in AI are only the limitations of human imagination—if we can think it, AI can do it, and sometimes do even more.

The Unlikely Candidate That’s Now A True Example of AI Proficiency

Until recent years, Supply Chain Management, especially in the Manufacturing Industry was predominantly reliant on manual processes. Other industries such as finance, telecommunications, healthcare, were fast to adopt digital transformation. However, the global events in the past few years such as the pandemic highlighted the shortcomings in supply chain networks. With remote working becoming the norm, how does production in the factory continue without manual intervention?

Shortage of labour, uncertainty in demand and supply, port blockages, new international compliances disrupted the manufacturing process in an unprecedented manner. These were compelling circumstances for manufacturers to accelerate the digitisation of their supply chain, making AI technologies such as Automation and Machine Learning a strategic imperative.

AI Applicability Across the Manufacturing Supply Chain

Organisations need to adapt in order to stay resilient and agile via flexible solutions as well as leveraging real-time insights driven by latest technologies such as AI across all stages of the supply chain.

AI in Supply Chain Infographic

Fascinating Use Cases of AI in Manufacturing & Logistics

A survey conducted by Longitude Research and technology giant Siemens where over 500 senior leaders from the energy, manufacturing, heavy industry, infrastructure and transport sectors were asked about the uses, benefits, barriers and attitudes towards AI, revealed that within 5 years, more than half of industrial leaders expect AI to control high-value assets such as industrial plants, equipment, and machines.

AI in Manufacturing & Logistics

Apart from automating processes, one of the key expectation from AI implementation is to increase workplace safety and avoid disasters. 44% of respondents in the survey said that AI systems will autonomously control machines that could potentially cause injury or death.

In fact, Siemens has integrated Google’s Data Cloud, AI, and ML services with their Digital Industries Factory Automation tools to help optimise factory data and run cloud-based analytics and AI across it to augment shop-floor productivity. Siemens Digital Industries Software’s SynthAI™ service along with ML can visually inspect products to conduct robotic bin picking, sorting, palletizing, quality inspection and more whereas their algorithms can predict the wear-and-tear on assembly line machines.

Another interesting AI use case would be how DHL, a global leader in the logistics industry, tackled the unprecedented volume fluctuations in online orders due to the pandemic. They were challenged with lack of clarity in stock availability and delays in shipment. The company employed an AI-based tool for predicting air freight delays. The solution analyses 58 data points and predicts delays or speed-ups a week in advance. They also built an in-house AI algorithm IDEA that helps optimise picking routes within the warehouse. Impact? It significantly improved order-picking processes in DHL-operated warehouses and in its first commercial deployment, reduced distance travelled by warehouse employees by up to 50% and increased productivity of individual DHL locations by up to 30%.

DHL Warehouse

InspireXT’s AI Solutions

At InspireXT, we help our customers in their digital transformation journey through supply chain software solutions enabled by Oracle and Salesforce. We are your trusted partner when it comes to assessing what new technology models suit you, and further provide you with pragmatic adoption solutions.

One such initiative amongst many, is InspireXT’s medium term aim to develop a portfolio of innovative solutions that has the potential to initially enhance our productised ‘Connected’ set of services and in the longer run provide sources of independent revenue. This innovation led differentiation is seen as a major contributor to the maturity and sustained growth for InspireXT and as a key catalyst to meet our strategic business plan.

Natural AI offers a base platform built using a discipline within artificial intelligence called Natural Language Processing (NLP)—a collection of methods by which computers can derive structured meaning from the complexity that is human language-based communication.

NLP Classifier

We believe that the tool (and underlying technology) provides the means to build numerous simple yet high value automation and NLP oriented interactions across Supply Chain processes—referred to as use cases. These use cases can be a source of giving substance to our ‘Connected’ propositions and expanding our GTM message effectiveness and reach.

To find out more about how our solutions integrate AI to transform supply chains, visit!

No Comments

Sorry, the comment form is closed at this time.