We can’t ignore the role of artificial intelligence and machine learning in marketing, automobile, ecommerce, medicine, teaching and many more.
A knowledge of these two is vital today because of their impacts in business and beyond.
From Jumia recommending the best products to Amazon bundling products together a complete set of things you need.
AI and ML are useful because they can deliver effective customer service, while reducing cost and increasing profits.
Here are some few amazing global facts about artificial intelligence and machine learning:
- We expect the global AI market to reach a revenue of $118.6 billion in the next 4 years. (Leftronic)
- 40% of Marketing and Sales teams say data science encompassing AI and ML is critical to their success as a department. (Forbes)
- Gartner Survey Shows 37% of Organizations have Implemented AI in Some Form (Gartner) and many more…
So today, I will talk more about the role of Artificial Intelligence (AI) and Machine Learning (ML) as touching eCommerce Stores and Marketing.
So, let’s begin
Introduction to Artificial Intelligence and Machine Learning
Regardless of your size of your ecommerce business, you can’t underestimate the role of artificial intelligence and machine learning in marketing.
This ranges from vetting employees, getting customers’ feedback, running ad campaign, recommending products on your ecommerce website and more.
If you will accept this change and apply to your business, you will do better than your rivals still in manual operations and guess work.
What is Machine Learning?
Machine learning is using mathematical algorithms (step-by-step procedure) to collect, analyze, and process data (information).
This is to discover similarity or likeness or correlation between various items of data.
Now, once they have discovered a relationship between these items, they can predict the behavior of future occurrences.
One way you will have interacted with machine learning is via object recognition.
Object recognition is the ability of machines to identify everyday objects from the images presented to the system.
Apart from recognizing object, machine learning can also make predictions based on the previous information it has.
So if you have a data of your customers’ previous purchase, machine learning can analyze and use it to recommend (predict) products the customers will most likely buy next.
We know this entire process of predictions as Predictive Model or Predictive Analysis.
Also, machine learning can also estimate the probability of something happening if something else occurs.
You see this in doctors diagnosing a medical condition if the patients exhibit certain symptoms.
You can use machine learning to target a promotional offer to customers based on their age, gender, demographics and more.
Social media platforms also use machine learning to present you post you may like based on your engagement with similar previous post.
Remember, there was a time you posted a group picture of you and others on Facebook. Do you notice Facebook marked your faces in a box? Facebook went further to suggest your friends’ names, even when you never did.
Also, whenever an image cannot load. You might see text trying to describe what the picture contains.
Example: Two people standing by the roadside and more. Note: This differs from alt tags.
But how was that possible? That’s machine learning.
Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Supervised machine learning are problems where there is an existing data to make predictions.
Unsupervised machine learning are problems where the system relies on its algorithms to help access and collate data needed to make predictions.
Reinforcement machine learning is a process where the system must complete a specific task. The systems learn what to do and improve on it.
What is Artificial Intelligence?
Artificial intelligence is the replication of human reasoning and decision-making capability in a situation.
It is the creation of intelligent machines to work, react and understand languages as humans will do.
For ecommerce businesses, the use of AI means you will spend less time on repetitive administrative task and satisfy customers better.
You can use artificial intelligence to predict churn rate in businesses operating on the subscription model.
Customers search, clicks and purchases are all key marketing metrics you can use to get valuable business insights.
Another role of artificial intelligence in ecommerce is the use of sentimental analysis.
With sentimental analysis, you can read customers’ emotion (either positive or negative) towards a product.
This knowledge will help you assess your business performance and improve on it.
Using artificial intelligence to speed up business activities from chat bots to web analytics tools is a competitive advantage for you.
Types of Artificial Intelligence
- Reactive Machines,
- Limited Memory,
- Theory of Mind, and
- Self – awareness
We also have the narrow and general artificial intelligence.
The Narrow AI is a system that performs accurately when applied to a specific situation.
The General AI is a system that can learn, adapt and act according to the event on ground in any situation.
Examples of Artificial Intelligence and Machine Learning Use
Google AI – RankBrain
Presently, Google no longer attempts to match your keywords with site content. Instead, it tries to answer your questions by showing you relevant answers.
This is possible with the use of machine learning. It operates on natural language processing.
If you search for what Google has not seen before, RankBrain would imagine:
- What the word(s) could mean?
- What context are you using it?
- What previous search does it have?
An example is searching for the best property management companies in Nigeria.
Then RankBrain will try to group words that are similar in meaning.
Doing these, it could tell what you are looking for and provide the relevant suggestions.
RankBrain also can filter stop words. Stop words are common everyday words such as “the”, “to”, “and”,.
When search results show up. RankBrain would observe which contents have the highest Click-Through Rate (CTR).
RankBrain goes further to track your experience on the site. Do you read the content to the end? How long did you stay on the site? And more.
These have helped Google to do away with low-quality content.
Google wants you to provide quality content. It wants you to write your product’s title and description as you talk. It wants everything natural.
You don’t need to know everything about RankBrain – the AI or ML
You only need to be more natural and effective than ever when producing content.
Google AI – Latent Semantic Indexing (LSI)
Latent Semantic Indexing is a method for identifying patterns and connections between text. It uses the singular value decomposition in mathematics to do this.
LSI is a crucial factor if you want to rank high on Google.
Rather than matching keywords, Google now looks at the subject of the content. It does this searching for similar words.
That gives it the ability to understand what your content is about.
Structured Data and Examples
Structured data refers to any data that arranges in an organized way. It is easy for search engines to understand your data. I also know it as schema markups or rich data.
Examples of structured data are names, numbers, dates, addresses, and more.
If I search for digital marketing tools, I will probably see a list as shown in this image.
Schema markup is to help Google understand how each paragraph works. I encourage you to structure your eCommerce stores, so it does not leave behind you.
Big Data
I will use this section to explain Big Data in brief and the role of artificial intelligence in your eCommerce marketing.
In simple words, I define big data as many data sets.
This data could be phone numbers of voters in a state. Or the number of people living in a country by gender. That is data.
When I mean big data, it’s not as huge as you think.
If you have a thousand people visiting your site a day, that’s enough to call data.
And that’s because your website will record more website metrics. Big brands use big data.
When you search on Jumia, it shows you your previous searches. That’s the advantage of big data.
You can use big data to right recommend products to the right visitor. It helps you know what customers want and so you serve them with it.
If I search for shoes on Google, the next time I log on Facebook, I will see ads on shoes.
That’s big data made possible via retargeting.
So, getting customers’ details (address, phone, email) is essential to gather data for your business.
Computer Vision
In case you don’t know, I am glad to inform you that…
Google now pays attention to the images on your website as it does with text.
You must have heard of Google images where you can upload an image to search for similar images. That became possible through machine learning.
Have you heard of Optical Character Recognition OCR?
OCR is the ability to read text from an image.
This means Google can read your images as much as it can with text. Close to this was the facial recognition I explained earlier.
Don’t go to Google or images websites to pick photos for your products.
Make use of relevant and unique images. Take a clear picture of your products and upload. It helps more.
When you upload your images, add alt tags. Alt tags explain to Google what your images represent.
Above all, make sure you use high-quality resolution products images.
Chatbots
Have you noticed chatbots are becoming popular among online businesses? That’s a great one.
Chatbots are mini-AI that gives automated replies to visitors. They are a significant support for customer service.
Most site owners place chatbots at the right bottom part of their websites.
Yes, it can get a lot of details from users without the impression of filling a form.
Facebook Chatbots are another tool you should consider. Over 1.2 billion people now use Facebook messenger.
You can add this chatbot to your websites. It makes communication easy for your audience.
Imagine if I could request for shoes on your website by sending a Facebook or Whatsapp message. Wouldn’t that make business easy for you?
What if clients could seek your services without ever needing to speak with you in person?
Those are a few advantages of using chatbots.
Use Of Artificial Intelligence and Machine Learning In Marketing
These are all roles of artificial intelligence and machine learning in ecommerce.
1. Relationship with customers:
Customer relationship management (CRM) tools powered by AI and ML can classify your customers into groups based on demographics and position in the sales funnel.
This helps you differentiate actual customers from potential customers.
2. Lock out fraudulent act:
Artificial intelligence and machine learning can help lock out hackers trying to force their way into your ecommerce website, backend.
Also, you can detect and reject the fake credit card used on your checkout page.
3. Forecast Demands
With human intelligence, it’s hard to tell which products or services will sell most. AI and ML make it possible to analyse customers’ search data and predict expected sales of a product.
4. Improve Performance
Do you want to increase users’ engagement and purchases? Use Ai and ML to make personalized recommendations of what they want, and you will get them to make better purchases.
Artificial intelligence and machine learning can help increase productivity and reduce downtime while also helping to avoid major human errors.
6. Vetting Employee:
Artificial intelligence and machine learning can help the human resource department of your company to assess employees based on their output. This takes away the place of sentiments.
We can see the importance of artificial intelligence and machine learning in other areas of business like
- Sales forecasting
- Market research
- Data collection and validation
- Risk taking and management
- Target Ad marketing
Conclusion on the Role of Artificial Intelligence and Machine Learning on Ecommerce
What do you need to do as a business owner?
- Use latent semantic indexing in your content
- Provide high-quality content (blog and products description).
- Use good English and be natural about it
- Ask questions from customers in form of survey to know how they find you.
- Place your readers first.
- Do away with low-quality irrelevant Google images. Use unique images.
You now know what to do now. So, go do it.
