Boost Your E-commerce Sales with AI Powered Consumer Behaviour Prediction

Boost Your E-commerce Sales with AI Powered Consumer Behaviour Prediction

Date & Time
April 24, 2023
Reading time
4 mins
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By Lopamudra Barik

This post is for you if you're not aware of how AI can increase sales for eCommerce businesses. It discusses how AI helps online shops increase sales and how you can take advantage of this.

AI may be the answer given the massive amount of data that is already available and the prevalence of data breaches. Additionally, organisations can no longer rely on conventional business strategies to promote growth due to the complexity of customers' needs and their continuously changing preferences.


Nowadays, the majority of organisation use AI technology to lower operational costs, boost productivity,boost sales, and forecast customer behaviour to enhance the overall customer experience. Businesses must now hire the best AI personnel in order to stay a head of the competition as AI technology advances.

How is consumer behaviour predicted by AI?

Businesses are using AI in a variety of ways to forecast customer behaviour, including:

1. Customise marketing

Any company that wants to be competitive in this day and age must use AI while developing its marketing plan; doing otherwise is impossible.

Today's online data is so common that it makes marketers happy. Past reviews, web searches, views, and a lot more contain this information.

Customise marketing
AI while developing its marketing plan


Marketers can use AI to identify the marketing tactics that generated the most interest from consumers. Based on this data, businesses can create a flawless strategy for future advertising that will probably result in higher sales.

AI, for instance, can be quite useful in email marketing. Businesses can adjust their outbound programs using this technology to achieve the highest level of client engagement. Additionally, AI applications like email address lookup tools can assist businesses in gathering data about their clients in order to forecast their behaviour.

2. Analysis of customer relationships and  behaviour

Businesses may build long-lasting client relationships with the aid of AI. An organization can interact with customers and enhance the general customer experience with the use of AI solutions like Customer Relationship Management (CRM) software.


Analysing consumer behaviour can also be aided by AI. Marketers can look into how customers interact with their brands using AI. It can provide insight into each stage of the customer journey and aid marketer sin comprehending what motivates consumer behaviour.

When done properly, it can produce favourable results including greater client lifetime value, stronger customer relationships, and higher customer retention.

3. Checking website and social media content

Content marketing has been totally changed by AI. The success of businesses in the twenty-first century depends on producing relevant, actionable content that speaks to the proper audience. AI is being used by more and more businesses to track the effectiveness of the content on their websites and social media pages.

As a result, businesses may create content that is specifically tailored to each customer. Additionally, companies might improve their current content to increase sales.

Checking website and social media content
Content marketing has been totally changed by AI


Additionally, marketers can learn more about the most popular and interesting content by employing AI techniques. In order to develop personalised content, marketing teams might use email address lookup tools to collect information about consumers and prospects.

4. Large data

Simply said, large data is a term used to describe larger, more complicated data sets that mostly originate from new sources.These data sets are typically so large that they cannot be handled by conventional data processing software. However, companies may utilize these enormous amounts of data to target problems that they previously wouldn't have.  


Large  data may give businesses insights into the driving forces behind their most devoted customers and inspiration for developing fresh products and services for both present and potential customers. 

Businesses can use big data to examine data points of each customer's journey from discovery to sale when paired with AI. This gives marketers the resources and information they need to make wiser decisions.

A data leak that harms a business can be avoided with AI assistance. This is due to AI's ability to manage large amounts of data, recognise undiscovered dangers, quicken detection and reaction times, and secure authentication.

The Best Ways AI Can Boost eCommerce Sales

1. Lower Cart Abandonment Rates

Across all industries, the average cart abandonment rate is close to 70%.

It indicates that after making a purchase and being to do, so by your marketing efforts, the buyer changes their mind. And all of those efforts fail miserably, which has a negative effect on sales.


AI can assist eCommerce companies in re targeting customers who abandoned their shopping carts. To ascertain whether and when a customer might quit their cart, machine learning technologies analyse the customer's digital body language.

They accomplish this by using advanced algorithms that instantly quantify enormous amounts of data.

AI enabled automated systems make it easier to send users-specific emails with reminders, offers, or discounts that include a promo code to persuade them to finish the transaction. You can also use it to re target ads that rely on cookies.

2. Product Suggestions

The purchasing process differs when done online versus offline. A salesperson at a physical store makes product recommendations to customers based on their selections and preferences. AI fills the void left by the lack of a salesperson to encourage clients to purchase goods online.


Online retailers can gather and interpret data about customers' online purchasing patterns using AI and machine learning, which enables bots to provide individualised shopping experiences.

You have a better chance of making the sale if you can dis playthings that the buyers have previously expressed interest in. Additionally, AI employs NLP to contextualise, hone, and enhance customer search results.

eCommerce product fulfilment firms use AI to give suggestions from their historical sales data on how to combine related products and raise average order value (AOV).


3. Cross-sell and upsell

AI assists clients in selecting complementary goods they would be interested in purchasing, just like product suggestions do. Once you've established a relationship with a customer at a physical store, cross-selling and up selling become simple.

To better understand who and when to cross-sell and up sell to, use the same data that AI has retrieved.


Not to mention, with AI and automation, the consumer won't feel under pressure to make yet another purchase, as they frequently do when a representative or salesperson suggests other items.

4. Advanced Logistics

AI supports back end and supply chain operations in addition to the client experience. Most organisations desire real-time inventory planning that takes historical data into account.

Demand and supply are the foundation of the whole supply chain, therefore predictive analytics based on machine learning can estimate transliterations, demand levels, and shipment delays to help retailers guarantee customers a precise delivery date.


Machine learning algorithms estimate demand and make products available to improve sales by using real-time information from sensors and available data analysis. Additionally, as these systems mature, they become wiser, making predictions that are more accurate and improving supply chain operations.

And this is only the start. Big data utilisation by AI is always improving, providing ongoing development and optimisation that improves the user experience and encourages sales.

5. Support and Services at Scale

Before making a purchase, shoppers frequently merely want to talk with the store about the goods and services. There are certain scepticism about the clients' capacity to stop the sale.

What is the return policy, for instance? What other brands are there that sell this item? Do you offer any special deals? What about shipping costs and policies, for example?

Support and Services at Scale
Respond to every customer's query

Consider the staff you would need to assemble in order to respond to every customer's query. It is expensive and ineffective. Instead, you may create FAQ bots with AI that can respond to all of these queries. The sales process is accelerated by its scalability, availability, and fast responses.

The benefits of integrating AI with consumer behaviour

1. Higher traffic

AI enables companies to monitor and update their websites and social media profiles, as we've already said. It assists in developing a content marketing plan that is sure to captivate and entice both current and potential customers.


Personification is essential in content marketing, and AI has a significant impact on how well marketing teams understand their target customers.

As a result, businesses can use AI to produce content for their websites and social media pages. This ultimately results in more traffic, which is encouraging for marketing teams hoping to convert website visitors.

2. A growth of revenue

Corporate leaders believe AI will become a crucial tool in the future, according to a 2500 U.S. consumers and corporate decision marketers survey titled "A Revolutionary Partnership: How AI is Pushing Man And Machine Closer." In all, 72% said it was advantageous for business. The substantial revenue firms experience after integrating AI into customer behaviour is the main reason for AI's demise.


With the aid of AI, marketing teams may decode enormous amounts of data to focus the information and determine the target market, consumer wants, and trend analysis.

It enables them to develop user-focused sales funnels and design their marketing campaigns around them, increasing the conversion rate of prospects. Increased conversions translate into higher sales.

3. A growth in loyalty

Loyal clients are one of the most important assets for organisations today. This is due to the fact that businesses don't develop this loyalty quickly. To meet or surpass customer's expectations and win their loyalty, it takes years of hard work.


The attitudes, requirements, wants, and expectations of clients are abundantly revealed by AI techniques. Based on this data, businesses can run their operations and improve the quality and price to better suit the needs of their customers.

Businesses can maintain an advantage over rivals and gain devoted clients in this way. This is what every company hopes for.


AI in business is useful for more than just avoiding data breaches. Additionally, it can aid businesses in better understanding their clients and frequently even humanise their brand.


As a result, they are able to attract and convert prospects and retain their present consumers while earning their loyalty. It is more important than ever to hire the top AI personnel since AI gives a company an advantage over its rivals.

Any business with long-term goals ought to adopt this technology. AI can easily alter and enhance how consumers search and purchase things online.


What is AI-powered consumer behavior prediction?

AI-powered consumer behavior prediction is a process where machine learning algorithms are used to analyze large volumes of consumer data to predict their future behaviors and preferences. This helps e-commerce businesses to understand their customers better and personalize their offerings accordingly.

How does AI-powered consumer behavior prediction help in boosting e-commerce sales?

AI-powered consumer behavior prediction helps e-commerce businesses to identify patterns and trends in customer behavior, which can be used to optimize their sales strategy. By analyzing data such as purchase history, browsing behavior, and demographics, businesses can personalize their marketing efforts, offer relevant product recommendations, and improve customer engagement and retention.

What are the benefits of using AI-powered consumer behavior prediction for e-commerce businesses?

AI-powered consumer behavior prediction helps e-commerce businesses to improve customer satisfaction, increase sales revenue, and reduce operational costs. By understanding their customers' preferences and behaviors, businesses can create more targeted marketing campaigns, optimize their product offerings, and improve their overall customer experience.

What kind of data is required for AI-powered consumer behavior prediction?

To use AI-powered consumer behavior prediction, e-commerce businesses need to collect data on their customers' purchase history, browsing behavior, demographic information, and other relevant data points. This data is then analyzed using machine learning algorithms to predict customer behavior and preferences.

Is AI-powered consumer behavior prediction expensive to implement?

Implementing AI-powered consumer behavior prediction can be expensive, as it requires significant investment in technology, data infrastructure, and skilled personnel. However, the benefits of implementing such a system can far outweigh the costs, as it can help e-commerce businesses to increase sales revenue and improve customer satisfaction in the long run.

Are there any ethical concerns related to using AI-powered consumer behavior prediction?

Yes, there are some ethical concerns related to using AI-powered consumer behavior prediction, particularly with regard to data privacy and security. E-commerce businesses must ensure that they collect and use customer data ethically and transparently, and that they comply with relevant data protection laws and regulations. Additionally, businesses must ensure that their algorithms are not biased and do not discriminate against any particular group of customers.

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