Credit by Dominic Machado
I. AI's Induction
Artificial intelligence, simply put, is the ability for a machine to learn. It does this by continually analyzing patterns from the data it collects. The greater the collection of data, the more accurate the machine can become at making predictions. Gartner, Inc, projects that over 25% of customer interactions will be managed with virtual customer assistants by 2020. Machine-learning technologies can go beyond the scope of humans by learning and understanding every individual customer, even in an audience of millions.
1. The evolution of AI
Artificial Intelligence truly began in the unleashed imagination of fiction writers. The technology started impacting the real-world only in the 1950s when Alan Turing contemplated the question, “Can machines think?” The Turing test was once considered to be the benchmark for Artificial Intelligence—to pass the test, a machine must deceive a questioner into believing it is a human.
In recent decades, AI research has seen unprecedented acceleration. From the year 2008 to 2012, it was growing at roughly 5 percent annually; but since then, it has boomed with a growth of more than 12 percent annually. Today, Europe still leads in AI research, but within the next four years, China is predicted to take over as the global pioneer in artificial intelligence.
2. A New Era
At the same time, trends have been changing in the world of business and retail. In 2018, e-commerce sales accounted for a whopping 11.9% of all retail sales worldwide. The number of global digital buyers is expected to rise to over 2.14 billion by 2021.
Artificial Intelligence collects and organizes heaps of data that manual processing would take years to do (if at all). Based on this analysed data, it can make predictions that can save an organization vast amounts of time and money.
II. Artificial Intelligence in eCommerce
Here are some key ways that AI has made an entrance into the realm of e-commerce:
It might soon be the end of the line for contact forms, email and phone calls. More importantly, it’s a step in the right direction when it comes to delivering stellar customer experience. By kickstarting the ‘conversational commerce’ trend, Chatbots give e-commerce websites the ability to provide 24/7 customer support. They simulate conversations with customers and can execute tasks, automate order processing, and can also provide accurate answers to customers about product details, quantities and shipping terms.
According to a 2017 report by PwC, 34% of executives say the time they freed up using chatbots allowed them to focus on deep thinking and creating.
2. Image search
With AI, consumers can now search for products based on images they’ve come across. See an outfit you love? Simply take a picture and get matched to similar items on ecommerce websites.
Pinterest is already leveraging this technology by allowing its users to select any item from any photograph online and then throws up similar items through an image recognition software.
Since ecommerce sites process multiple financial transactions throughout the day, they are frequent targets for cyber attacks, fraud, and unauthorized access from hackers. Cybersecurity is a priority among top ecommerce stores that realise that cyber attacks can cost millions, and worse, damage their reputation as a trustworthy brand.
AI systems can detect irregular patterns, like spam and fraud, because of constantly processing data, and sound the alarm in real time when it detects suspicious activity. For example, the cybersecurity company Prolexic monitors malicious cyber threats globally and analyzes DDoS attacks using their proprietary intelligent system.
Customer Relationship Management (CRM) have traditionally relied on employees to collect huge amounts of data in order to better serve clients. Today, several CRM software are capable of leveraging artificial intelligence to help in identifying trends, and predict which customers are most likely to buy products with impressive accuracy. This frees up sales teams to focus on their revenue goals.
5. Recommendation Engines
There are those who are familiar with recommendation engines, and then there are those who are shocked when their phone throws up ads for exactly what they needed. Is it a conspiracy?
eCommerce platforms powered by Machine learning algorithms are capable of analyzing customer behaviour from past searches, ‘like’ history, frequently bought products, and can recommend products for the user. Amazon, Facebook and Instagram are examples everyone is familiar with, frequently giving us recommended products and ads based on our history.
AI has the potential to spike sales and productivity like never before. Today, more than 75 percent of companies are using AI to power their decision-making processes and accelerate business development (as reported by Capgemini, 2017).
Perhaps the world is changing at a pace where we need to hold onto our seats, but Artificial Intelligence is more than a buzzword. It is a field of research that is unlikely to disappear anytime soon and businesses will do well to jump on the bandwagon at the earliest.