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
Facebook has become a cultural phenomenon over the years and an object of affection for marketers to connect with its users. Experian Simmons has put together 10 consumer behavioral stats based on their National Consumer Study and New Media Study about the social networking site leading up to its Friday IPO launch: 39% of Facebook users say “this website gives me something to talk about.” Top 3 reasons Facebook users visit social networking sites: 86% to keep in touch with friends 72% for fun 66% to reconnect with/find people they’ve lost touch with 78% of Facebook users have shown support for a group or business on a social networking site. 34% of Facebook users have played games on a social networking site. Among those: 73% play social games (like Farmville, SIMS social, etc) 68% play casual games (like Bejeweled, etc) 73% play games on a social networking site once or more a day 28% of Facebook users with cell phones and 42% of Facebook users with a tablet computer have downloaded a social networking app for the device Adult residents of the following Designated Market Areas (DMAs) with 1,000,000 or more adult residents are the most likely to have visited Facebook in the last 7 days: ) Seattle-Tacoma, WA Austin, TX Salt Lake City, UT Portland, OR Washington, DC 15% of Facebook visitors follow a musical group on a social networking site, 14% follow a TV show, 11% follow a newspaper or news outlet and 4% follow a magazine. The average Facebook user is 39.3 years old. The average Facebook user claims an annual household income of $69,900 with annual household spending on discretionary goods and services of $15,500. Hispanic users of Facebook are 55% more likely than non-Hispanic users to say they like to follow their favorite brands or companies on social networking sites. Don’t miss 15 stats about Facebook, previously posted on the Experian Marketing services blog. . For more information like the data provided above please download the Experian Marketing Services 2012 Digital Marketer report.
Today, it costs more than $40 to send a five pound package from the U.S. to Canada or Mexico. The cost to Europe or South America is even more expensive. For U.S. companies operating on a global scale, such as retail specialists or ecommerce organizations, address accuracy is crucial. Organizations can’t afford undeliverable mail and packages due to a wrong address – the total cost would be unmanageable. Mistakes happen frequently, whether it is an error by the company or the customer. If a mistake is made, companies can’t ask the customer to cover delivery fees, leaving the organization with the bill. Retailers must also consider potential delays due to long distances and custom checks. Altogether, address errors result in a poor customer experience and a decrease in efficiency. Implementing international address verification will save money, time and improve the customer experience. By combining primary address data from national postal authorities with partner-supplied data, businesses can verify international addresses from countries all around the world.
On April 22nd, Americans and many of their terrestrial counterparts in countries around the world will celebrate Earth Day, a tradition that was started in the United States by Wisconsin Senator Gaylord Nelson in 1970. Much has changed on the planet since the first Earth Day, and even in recent years attitudes continue to evolve when it comes to our outlook towards the environment. In 2007, Experian Simmons created the GreenAware consumer segmentation, which classified respondents to the Simmons National Consumer Study between 2005 until 2007 into one of four mutually exclusive segments based on their consumer behaviors and attitudes toward the environment. Since then, Experian Simmons has continuously classified all adult respondents into the GreenAware segments providing our clients with valuable insights into the evolution of the environmental movement. The four GreenAware segments are: Behavioral Greens: This group of people thinks and acts green. They have negative attitudes towards products that pollute and incorporate green practices into their lives on a regular basis. Think Greens: This group of consumers think green, but don’t always act green. Potential Greens: This group neither behaves, nor thinks along particularly environmentally conscious lines and remains on the fence about key green issues. True Browns: They are not environmentally conscious, and may in fact have negative attitudes about environmental issues. Since 2005, we have observed a nearly constant increase in the percent of U.S. adults who are classified as Behavioral Greens, the “greenest” segment of the four. Today, 33% of adults are Behavioral Greens, up from 27% who were classified as such in 2005. Meantime, Think Greens have maintained an almost perfectly constant 21% share of the population. The size of the True Browns segment has also remained constant at between 14% and 15% of the total adult population. The Potential Green segment, however, has steadily declined in market share from 39% in 2005 to 31% today. La Vida Verde Hispanic Americans have traditionally been ahead of the curve when it comes to green thoughts and deeds and they’re only getting greener with time. Today, 39% of Hispanic adults are Behavioral Greens, up from 33% in 2007. Just 32% of non-Hispanic adults are Behavioral Greens today, up from 29% who fell into the greenest segment in 2007. Interestingly, among the True Browns segment there are virtually no Hispanics to be found, and, in fact, while the True Brown population is actually growing among non-Hispanics, Hispanics are increasingly moving to greener segments. Specifically, just 1.3% of Hispanics are True Browns today, down from 8% who registered as such in 2007. By comparison, 17% of non-Hispanics are True Browns today, up from 14% in 2007. Green Today, Greener Tomorrow? The illustration below shows the alignment of America’s largest metropolitan areas with the four GreenAware segments today and in 2007. We see that residents of the San Francisco-, New York- and Miami-areas are the most likely to be in alignment with the Behavioral Green mindset today. Denizens of Washington, D.C., Los Angeles, Chicago, Philadelphia and Boston tend to fit more closely with the Think Green set that has green attitudes and intentions, but not always the actions to back it up. But things are changing. In fact, since 2007, we’ve seen that as local minds change, some cities become aligned with a different, often greener, segment. Let’s look at Chicago, for instance. In 2007, Chicagoans’ environmental outlook was more reflective of a mix of Potential Greens and True Browns. Since then, local attitudes have changed so much that Chicago-area residents are now more aligned with Think Greens and Behavioral Greens. Likewise, Cleveland, which was clearly a True Brown town in 2007, now falls in step with the Potential Green segment. In five years’ time, who knows? Cleveland could be America’s next green leader. Not brown now towns Looking at markets large and small with the biggest drop in concentration of True Browns, we see that attitudes in inland markets located in Gulf States have become disproportionately less brown since the Deepwater Horizon oil spill in 2010. In fact, seven of the ten Designated Market Areas (DMA) that saw the biggest decline in the percentage of their population classified as True Browns between 2007 and 2011 are inland markets in states bordering the Gulf of Mexico. While the oil didn’t directly reach these markets, the attitude change did spread: For example, 3.2% of adults residing in the Columbus-Tupelo-West Point, Mississippi DMA today are classified as True Browns, down from 19.3% who were categorized as such in 2007. In Macon, Georgia, while not a Gulf State, a more impressive shift took place. In 2007, the Macon, Georgia DMA had the fourth highest percentage of its population classified as True Browns (20.1%) out of 209 DMAs. Today, only 5.8% of area residents are True Browns, which makes it the market with the 10th lowest concentrations of True Browns in the nation. Macon still has one of the lowest shares of residents who are Behavioral Greens in the nation, but what a difference a few years makes. While the towns directly in the path of the oil spill are not among those with the biggest relative decline in True Browns, area residents’ attitudes did take on a greener hue since the spill. Today, 8.4% of residents in Panama City are True Browns down from 17.3% in 2007. Likewise, only 9.8% of adults in both the Mobile-Pensacola and Biloxi Gulfport DMAs are True Browns down from 17.3% and 19.0%, respectively, who fell into the least green segment prior to the spill. Learn more about Experian Simmons consumer segmentation offerings