In this article…
Technology is pushing the boundaries of commerce like never before. Artificial intelligence (AI) is one of the primary driving technologies at the forefront of the commerce evolution, using advanced algorithms to revolutionize marketing and personalize customer experiences. As of 2024, AI adoption in e-commerce is skyrocketing, with 84% of brands already using it or gearing up to do so.
This article explores the AI revolution coming to commerce, focusing on what makes AI a driving force for e-commerce in particular, and the ways it’s reshaping how businesses engage with consumers.
Understanding the AI revolution in commerce
AI is quickly reshaping commerce as we know it by democratizing access to sophisticated tools once reserved for large corporations, breaking down functional silos within organizations, and integrating data from multiple sources to achieve deeper customer understanding. It’s paving the way for a future where every brand interaction is uniquely crafted for the individual, powered by AI systems that anticipate preferences proactively.
AI is a broad term that encompasses:
- Data mining: The gathering of current and historical data on which to base predictions
- Natural language processing (NLP): The interpretation of human language by computers
- Machine learning: The use of algorithms to learn from past experiences or examples to enhance data understanding
The capabilities of AI have significantly matured into powerful tools that can improve operational efficiency and boost sales, even for smaller businesses. They have also fundamentally changed how businesses interact with customers and handle operations. As AI continues to develop, it has the potential to provide even more seamless, personalized, and ethically informed commerce experiences and establish new benchmarks for engagement and efficiency in the marketplace.
Four benefits of the AI revolution coming to commerce
Major commerce players like Amazon have benefited from AI and related technologies for a while. Through machine learning, they’ve optimized logistics, curated their product selection, and improved the user experience. As this technology quickly expands, businesses have unlimited opportunities to see the same efficiency, growth, and customer satisfaction as Amazon. Here are four primary benefits of AI adoption in commerce.
1. Data-driven decision making
AI gives businesses powerful tools to analyze large amounts of data more quickly and accurately than a person. Through advanced algorithms and machine learning, AI can sift through historical sales data, customer behavior patterns, and market trends to uncover insights and suggest actions that might not be immediately obvious to human analysts. By transforming raw data into actionable insights, AI empowers businesses to make more informed decisions, reduce risks, and capitalize on opportunities.
As a real-world example, Foxconn, the largest electronics contract manufacturer worldwide, worked with Amazon Machine Learning Solutions Lab to implement AI-enhanced business analytics for more accurate forecasting. This move improved forecasting accuracy by 8%, saved $533,000 annually, reduced labor waste, and improved customer satisfaction through data-driven decisions.
2. A better customer experience
AI is set to make customer interactions smoother, faster, and more personalized by recommending products based on preferences and behaviors, making it easier for customers to find what they need.
When consumers visit an online store, AI also provides instantaneous help via a chatbot that knows their order history and preferences. These AI-powered assistants offer real-time help like a knowledgeable store clerk. They give the appearance of higher-touch support and can answer basic questions at any hour, provide personalized product recommendations, and even troubleshoot issues. Chatbots free up human customer service agents for more complicated matters, and these agents can then use AI to obtain relevant information and suggestions for the customer during an interaction.
3. Personalized marketing
Data-driven personalization of the customer journey has been shown to generate up to eight times the ROI, as data shows 71% of consumers now expect personalized brand interactions. Until AI came around, personalization at scale was complex to achieve. Now, gathering and processing data about a customer’s shopping experience is easier than ever based on lookalike customers and past behavior.
Many businesses have adopted AI to glean deeper insights into purchase history, web browsing, and social media interactions to drive better segmentation and targeting. With AI, advertisers can analyze behavioral and demographic data to suggest products someone is likely to love. Consumers can now browse many of their favorite online stores and see product recommendations that perfectly match their tastes and needs.
AI can also offer special discounts based on purchasing habits, and send personalized emails with products and content that interest customers to make their shopping experience more engaging and relevant. This personalization helps businesses forge stronger customer relationships.
Personalization across digital storefronts
Retail media involves placing advertisements within a retailer’s website, app, or other digital platform to help brands target consumers based on their behavior and preferences within that environment. Retail media networks (RMNs) expand this capability across multiple retail platforms to create seamless advertising opportunities throughout the customer journey. Integrating AI into RMNs can improve personalization across digital storefronts with personalized, relevant ads and custom offers in real time that improve the customer experience.
4. Operational efficiency
AI can also be beneficial on the back end, enabling more efficient resource allocation, pricing optimization, efficiency, and productivity.
Customers can be frustrated when they visit a store for a specific product only to find it out of stock or unavailable in a particular size. With AI, these situations can be prevented through algorithms that forecast demand for certain items. Retailers like Amazon and Walmart both use AI to predict demand, with Walmart even tracking inventory in real time so managers can restock items as soon as they run out.
AI can automate and streamline operational tasks to help businesses run smoother, faster, and more cost-effective operations. It can:
- Offload tedious data entry, scheduling, and order processing tasks for greater fulfillment accuracy.
- Analyze historical data and market trends, predicting demand to help businesses optimize inventory, reduce waste, track online and in-store sales, and prevent shortages.
- Forecast demand levels, transit times, and shipment delays to make better predictions about logistics and supply chains.
- Improve data quality using machine learning algorithms that find and correct product information errors, duplicates, and inconsistencies.
- Adjust prices based on competitor pricing, seasonal fluctuations, and market conditions to maximize profits.
- Pinpoint bottlenecks, identify issues before they escalate, and provide improvements for suggestions.
Future trends and predictions
If you want to stay ahead in e-commerce, it’s just as important to know what’s coming as it is to understand where things are today. Here are some of the trends expected to shape the rest of 2024 and beyond.
Conversational commerce
Conversational commerce allows real-time, two-way communication through AI-based text and voice assistants, social messaging apps, and chatbots. Generative AI advancements may soon enable more seamless, personalized interactions between customers and online retailers. This technology can improve customer engagement and satisfaction while providing helpful insights into preferences and behaviors for better personalization and targeting.
Delivery optimization
AI-driven delivery optimization uses AI to predict ideal routes for each individual delivery, boosting efficiency, reducing costs, promoting sustainability, and improving customer satisfaction throughout the delivery process.
Visual search
AI-driven visual search is quickly improving in accuracy, speed, and contextual understanding. Future developments may integrate seamlessly with augmented reality (AR) so shoppers can search for products by pointing their devices at physical objects. Social media and e-commerce platforms may soon incorporate visual search more prominently, allowing users to find products directly from images.
AI content creation
AI is already automating and optimizing aspects of content production:
- Algorithms can generate product descriptions, blog posts, and social media captions personalized to specific customer segments.
- AI tools also enable the creation of high-quality visuals and videos.
- NLP advancements ensure content is compelling and grammatically correct.
- AI-driven content strategies analyze consumer behavior and refine messaging to meet changing preferences and trends.
This automation speeds up content creation while freeing resources for strategic planning and customer interaction.
IoT integration
Integrating AI with Internet of Things (IoT) devices could help make the ecosystem more interconnected in the future. AI algorithms can use data from IoT devices like smart appliances, wearables, and sensors to gather real-time insights into consumer behavior, preferences, and product usage patterns. This data enables personalized marketing strategies, predictive maintenance for products, and optimized inventory management. AI-driven IoT data analytics can also streamline supply chain operations to reduce costs and inefficiencies.
Fraud detection and security
There will likely be an increased focus on the ethical use of AI and data privacy regulations to strengthen consumer trust and transparency. AI-powered systems will get better at detecting and preventing fraud in e-commerce transactions, which will heighten security measures for both businesses and consumers.
Chart the future of commerce with Experian
AI has changed how marketers approach e-commerce in 2024. With AI-driven analytics and predictive capabilities, marketers can extract deeper insights from extensive data sets to gain a clearer understanding of consumer behavior. This enables refined segmentation, precise targeting, and real-time customization of messages and content to fit individual preferences.
Beyond insights, AI automates routine tasks like ad placement, content creation, and customer service responses, freeing marketers to concentrate on strategic planning and creativity. Through machine learning, marketers can predict trends, optimize budgets, and fine-tune strategies faster and more accurately than ever. The time to embrace AI is now.
At Experian, we’re here to help you make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Using AI in your commerce marketing strategy with our Consumer View and Consumer Sync solutions can help you stay competitive with effective, engaging campaigns.
Contact us to learn how we can empower your commerce advertising strategy today.
Latest posts
In a previous blog entry, Ordering sushi and a lesson in embracing the contextual marketing mindset, I showcased a fictitious scenario that required complex data point integration to pull off. These kinds of programs can seem overwhelming given the three barriers that many organizations face when embarking on their contextual marketing journey: Marketing sophistication A brand’s own conventional mindset and the programs that support it Actionable data Lack of clean and accurate data that prohibits real-time “on the fly” interactions Technology Disparate systems that are unable to link information across repositories, channels and interactions; inability to automate interactions in real-time Regardless of the barriers, there are ways you can show customers you’re listening and provide contextual messages without “boiling the ocean.” Take, for example, the recent viral blue/black vs white/gold dress debate. As the conversation spread throughout Facebook and Twitter, brands like Dunkin’ Donuts and Tide tweeted these contextual messages: The tweets did not go unnoticed as thousands of followers retweeted, commented and favorited these messages. The contextual elements used in these messages — channel preference and breaking/relevant news — are easily accessible to any brand. While the brands had to act swiftly, executing these messages circumvented the three barriers listed above. On the flip side, addressing the barriers can allow a brand to build more sophisticated, targeted contextual messages, as shown in the below example. Here, Experian Marketing Services and technology partner Movable Ink helped Finish Line deliver this sale announcement that adjusts based on the date and time the customer opens the email. The message remains relevant via a countdown clock during the run of the sale, a “warning” when it’s about to end and an alternative message after the sale ends — all of which ensures that the message is relevant regardless of when it’s opened by its intended recipient. And combining more contextual data points, such as location and stock, Finish Line includes the countdown, a local map to the customer’s nearest location and up-to-the-minute inventory of available sizes. Contextual marketing enables modern enterprises to engage in customer-centric conversations that — like any meaningful relationship — deepen across time and future points of engagement. This is particularly true in an era when consumers are overwhelmed by untargeted and disruptive marketing messages. By contrast, contextual marketing is designed to seamlessly and usefully merge into the customer’s daily activity. Want to know more and how to get started? Download the eBook From campaigns to context: Making the move to contextual marketing.
With online video viewing at an all-time high and television networks and system providers increasingly making video content available to those who don’t pay for television, many are wondering if we’re on the cusp of a massive spike in cord-cutting numbers. In our recent Cross-Device Video Analysis, Experian Marketing Services found that that 7.3 percent of all U.S. homes are cord-cutters, meaning they have high-speed Internet but don’t pay for TV. And the pace is increasing. In the last year alone, one million more homes joined the cord-cutter ranks bringing the total to 8.6 million households. It should come as little surprise that cord-cutting is on the rise. As we reported in our video viewing habits post, 57 percent of all American adults and 75 percent of Millennials now watch some sort of digital video during a typical week with the smartphone being the most commonly used device for watching video either streamed or downloaded from the Internet. Consumers thinking about cutting the cord will find an industry increasingly working to remove barriers that typically stand between cord-cutters and programming from their favorite networks — in exchange for a small fee. For instance, CBS recently announced the launch of CBS All Access, a digital subscription service that provides live and on demand viewing of CBS programming. And Dish Network launched Sling TV, an over-the-top pay service that allows cord-cutters to stream live and recorded programming from networks like ESPN, Univision, CNN, HGTV and more. With HBO announcing an April launch of their digital-only streaming service, HBO Now, March may be the last month that many pay for cable or satellite. If the cord-cutting ranks are, in fact, about to swell, a common question is: by how much? Experian Marketing Services estimates that there are currently 13.8 million Americans — representing 5.6 million homes — who are prime to cut the cord. Many of those individuals already have one foot out the door, if you will, given that they are more likely than average to say that they watch less television today because of the Internet. They are also more likely to watch HBO and be fans of at least one major professional sport making them good targets for Sling TV and HBO Now. Given that many cord-cutters already pay for Netflix and/or Hulu Plus, the net savings to those on the fence may be smaller than they think once they add up the costs they’ll assume from piecing together, à la carte, the various subscriptions and downloads required to keep watching their favorite programs. Whether or not we’re on the cusp of a major spike in cord-cutting, the fact is that consumers are increasingly getting their video content from digital sources and marketers need to understand where, how, when and what consumers are watching to ensure that their video campaigns are optimized for today’s digital consumer. For more information about cord-cutters and cross-device video consumption, including consumer receptivity to digital video advertising, download the Cross-Device Video Analysis.
Advertising Age recently released their annual Marketing Fact Pack, featuring data from Experian Marketing Services that looks at habits of digital consumers. This post highlights some of these findings. In the 2015 AdAge Marketing Fact Pack, we featured stats on key marketing and consumer trends impacting the advertising industry. Highlights include the lifestyle of the digitally connected consumer, including the habits of smartphone and television users, household and personal use of smart devices and the choice between becoming a cord-cutter and staying connected. An estimated 7.3 percent of U.S. households (8.6 million homes) today are considered “cord-cutters,” meaning they have high speed Internet but no cable or satellite television service. That number is up from 4.5 percent of households (5.1 million homes) in 2010, a comparative increase of 60 percent. Despite the growing number of consumers who use digital devices to watch video (as opposed to viewing on a television), it has not been enough to overwhelmingly convince all households to cut the cord. Instead, it seems as if the ability to stream or download video directly to the television is what ultimately seals the deal. As streaming devices like Roku, Apple TV, Amazon Fire TV and Google Chromecast become more common and as televisions themselves are increasingly connected to the Internet directly, we can only expect the number of cord-cutters to grow. To learn more about video viewing behaviors to improve your strategies for reaching digital consumers, register to join our upcoming webinar Online video: engaging consumers in a multi-screen world.