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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.
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Q&A with John Fetto, Senior Analyst, Marketing & Research Earlier this year, Experian Marketing Services released our Cross-Device Video Analysis. The analysis has generated such strong and sustained interest from marketers and the media, we wanted to explore the subject further. The following is an exchange with the report’s lead author John Fetto who answers some common questions that we’ve received since the analysis was published. Q: In the Cross-Device Video Analysis, you report that consumers are “cutting the cord” on pay cable and satellite television services. Can you elaborate on this trend? What’s driving it? According to our research at Experian Marketing Services, U.S. consumers are increasingly likely to have high speed Internet at home but no cable or satellite TV subscription. 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As Americans’ Internet connection at home is increasingly fast enough to deliver high quality video content through sites like YouTube, Netflix, Hulu and the like, as well as the ability to consume that online video content across an array of devices ranging from Internet-connected televisions to smartphones and tablets to computers, they are increasingly questioning whether they need to continue paying for TV. And more and more consumers are deciding to cut the cord. Q: With more consumers cutting the cord, how are they consuming video content? While the most commonly used device to consume online video is the smartphone — used by 24 percent of adults during a typical week to watch online video, according to our research — “cord cutters” are primarily using Internet-connected TV to consume online video. In fact, an adult who watches online video on their TV is 3.2 times more likely than the average adult to be a cord-cutter. 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And while it’s possible that some are viewing TV from a cable or satellite feed away from home, the most likely source of their TV content would be from OTA sources. That means that at least 10 percent of American adults are watching some TV through an OTA feed. In addition, 48 percent of all adults watch online video each week through a variety of devices. Those who don’t pay for TV are 12 percent more likely than those who have cable or satellite TV to watch online video (54 percent vs 48 percent). Q: The cord-cutting trend has many implications for the cable and satellite companies, but what do consumer-facing marketers and advertisers need to know about this trend? The growth in online video viewing creates many opportunities for marketers. Online audiences can be more easily targeted and served up advertising that is more relevant, responsive and measureable. 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Experian Marketing Services conducted an analysis into the attitudes, language preferences, spending habits and media behaviors of Hispanic Consumers, some of which were featured in the 2014 Hispanic Market Overview presented by López Negrete Communications. This post highlights findings from that analysis, which focus on Hispanic consumers’ adoption and use of smartphones. Hispanic consumers, who today account for 15 percent of the total U.S. adult population and 22 percent of Millennials, represent an ideal audience for mobile engagement and mobile advertising. While cell phone ownership rates among Hispanic and non-Hispanic adults are equal, Hispanics are more likely to own a smartphone and use it as their primary device to connect to the Internet. According to the latest estimates from Experian Marketing Services, 63 percent of Hispanic adults own a smartphone versus 60 percent of non-Hispanics. That’s up from 52 percent and 51 percent, respectively, since 2012. Among smartphone owners, Hispanics are 17 percent more likely than non-Hispanics to say that they access the Internet more through their phone than through a computer. In fact, 45 percent of Hispanic smartphone owners are mobile-dominant when it comes to going online compared with 38 percent of non-Hispanics. Marketers courting the influential Hispanic consumer must consider this fact and take a mobile-first approach to ensure that online marketing efforts, including everything from email to websites to e-commerce, are designed to engage the customer as effectively on a mobile device as on a computer. Even traditional marketing tactics such as television ads should reflect the growing likelihood that Hispanics have a smartphone either nearby or physically in their hand and are ready to engage. In fact, 37 percent of all Hispanic adults say that they often use their cell phone while watching television compared with 29 percent of non-Hispanics. Among smartphone owners, the share of Hispanics who use their phone while watching television shoots up to 50 percent versus 42 percent of non-Hispanics. Millennial smartphone owners are among the most likely to be splitting their attention between the big and small screen with 61 percent of Hispanic Millennials and 58 percent of non-Hispanic Millennials doing so. Knowing what specific mobile activities Hispanics are engaging in is critical for marketers in identifying the best tactics for reaching them via mobile. The chart below shows that Hispanics engage in most smartphone activities at above average rates, but they are much more likely than non-Hispanics to IM/chat on their phone. As a result they are slightly less likely than non-Hispanics to email from their phone, though the vast majority of Hispanic smartphone owners still use mobile email. Other activities that marketers will find Hispanics engaging in at above average rates include watching videos, using mobile GPS and listening to music. Learn more about how Experian Marketing Services can help your organization more effectively target, reach and engage today’s Hispanic consumer.