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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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It’s the holiday season! For some, this is the time of year for family, friends and reflection. For the other 97 percent* of us, it’s time to shop! America’s obsession with Black Friday, Cyber Monday and the rest of the holiday shopping season has never been stronger. Or weaker? Or something? All I know is that you should be skeptical of anything you see regarding the Thanksgiving weekend performance. And now, I will tell you about the Thanksgiving weekend performance We’re not discussing revenue in this post. Instead, we’ll dive into the weekend’s email subject lines – more specifically, how “percent off” deals affected email open rates. As everyone knows, Black Friday and Cyber Monday are the days for deals. Juicy “percent off” offers motivate customers to buy, buy, buy. But is the conventional wisdom, that “a deep discount will get people to engage with my brand,” actually right? A few weeks ago, my counterpart in the UK published an analysis of how percentage off discounts influence open rates. Taking the cue from Karl, I wanted to expand this analysis into the U.S. market, paying special attention to Thanksgiving weekend. To begin, I gathered data on a few thousand mailings from our largest retail clients. To determine the baseline expected open rates, I averaged each brand’s performance in the 6 weeks prior to Black Friday. I then analyzed all the mailings sent on Black Friday and Cyber Monday, dividing the subject lines based on the appearance of a percentage off offer. Interestingly, percentage off offers were less prominent than I expected: And when percentages off were present… their values were all over the place: Higher volume doesn’t lead to improved performance Conventional wisdom would suggest that advertising a discount more frequently would lead to better performing discounts. The data, however, doesn’t support that idea. When I looked at volume distribution and relative performance for each advertised discount, I found a relatively strong negative correlation of -0.63. So the more frequently a discount was advertised, the worse it tended to perform. We can see this visually in the chart below: On average, advertising discounts did not significantly improve open rates. What happened? The first thing to note here is the wide spread in the data – some percentage off discounts worked very well! Overall, though, shouting about a discount wasn’t what convinced customers to open emails during the holidays. But maybe it wasn’t just the percentage off discounts that faltered this season – perhaps all opens were down? As you can see in the histogram above – this wasn’t the case. The average mailing not touting a percentage off discount did ever so slightly better than the baseline average. Still, the spread of data is very wide, with a lot of variation in results. It could be that the dispersion of results was a product of each brand’s initial baseline; brands that normally had great engagement would see positive gains for percentage off discounts while brands with poor engagement would see little to negative lifts, or vice versa. But this hypothesis was also proven incorrect, as the relative starting place for each brand versus the discount performances had a correlation approaching zero. No matter which way I sliced it, the performance of discounted subject lines were more or less random. Ultimately, this last point is the most important. The subject line, for all its ubiquity and focus, is probably a lot less influential than we tend to believe. Sure, a subject line can be optimized, carefully crafted to invoke the greatest lift in response possible, but the baseline expected performance is influenced by a much larger conversation – the one between the brand and its customers. If the brand relationship has been cultivated and refined through intelligent interactions and sophisticated targeting, the open rate is likely going to be higher. If every marketing message simply shouts, DISCOUNT, DISCOUNT, DISCOUNT, and there is no larger value-add, engagement probably won’t be great. Advertising a discount in a subject line might really help get people involved – or it might not. So what is the future of the subject line? Are they worth the disproportionate time and energy that marketing organizations tend to spend on them? Or should we recognize that their importance is probably minimal? The truth is, it’s a little bit of both. Subject lines are important – they are the first impression and often the first interaction of the day with a customer. But their importance is likely inversely related to the strength of the brand (the “from” line, if you will). The stronger the relationship is, the less important the subject line becomes. Maybe that’s the ideal – a perfect “from” name, one that tells you more about what’s inside the message than a subject line ever could. *Not a real stat Connect with Jacob Davis, Senior Analyst, on Twitter: @davisj2007.
Before we get to the gift guides, here’s a brief update on the hottest products from the week including Cyber Monday. This week’s biggest movers and new additions to the list are a clear sign that Christmas is upon us. “Star Shower,” a laser light that bathes your house in festive lights without having to untangle cords, jumped to second place, up 49 rank points from the week prior. Likewise, the return of “Elf on the Shelf” to the hot products list coincides with his return to the homes of children nationwide. Otherwise, things seems to have stabilized with Fitbit showing no signs of falling from first place and Pie Face game being this year’s sensation. Toys Shopkins remains the toy to beat this season followed by Pie Face game, which remained in second place after skyrocketing interest during the week of Thanksgiving. Toys new to the top 10 this week include some old favorites like the Easy Bake Oven and Paw Patrol toys as well as the new entrant Glammin Salon Vanity. Keep checking back each week for the latest hot toys. This chart shows the 10 most searched for toys and games based on search clicks to Toys “R” Us – USA. Gift guide insight When it comes to buying presents for the holidays, some individuals are easy to shop for while others require a bit of inspiration. And when consumers need inspiration, consumers turn to the Web. Searches for “gifts for,” “gift guide” and “gift ideas” grow increasingly common as we get closer and closer to Christmas with peak search activity around this topic typically observed during the last full week before Christmas, which this year would be the week ending Saturday December 19th. Some of the most common gift recipients mentioned in gift guide-related searches are: “men,” “guys,” “her,” “mom,” “dad” and “girlfriend.” But shoppers are also frequently looking for suggestions on the perfect gift for someone very specific interests, such as “hunters,” “gamers” and “beer lovers” as well as specific types of gifts, like “tech” or “personalized.” The following gift guide insights, derived using our new AudienceView platform, were designed to highlight for you, as a marketer, the interests and preferences of key consumer segments so that you can more effectively tailor your campaigns to be more relevant and engaging. But if it also helps you, as a consumer, come up with the perfect gift for that hard-to-shop-for person in your life, then even better! Each gift guide contains a representative mix of search terms that were performed at above average rates by each audience segment during the four weeks ending November 28, 2015. They include a mix of product and retail brands and provide a good idea of the interests, style preferences and lifestyles of each audience. Learn more about how AudienceView can deliver unparalleled insights into your consumer audience so that you can deliver a better brand experience.
It’s October, and you know what that means; leaves are changing, sweaters are being pulled out of the closet, pumpkin-flavored items are taking over coffee shops. For many marketers, this is the most exciting (and stressful) part of the year. Holiday marketing is ramping up, and it will only increase in intensity as the weeks go on. Luckily, we’re hard at work here at Experian, analyzing data from past holiday seasons to bring you the insights you need to make your holiday marketing programs successful. We’ve examined search and email behavior to compile a list of the most important days to email and trends that will help you delight your customers from now until the New Year. You can access all of these insights in our Holiday 2015 Marketing Insights Calendar, which covers marketing trends from October through December. Holiday marketing tips for October With Halloween fast approaching at the end of the month (and Thanksgiving/Black Friday/Cyber Monday not far behind), marketers should use October to solidify their plan for the holiday season. Here are three things you can do to optimize your impact this month: 3 ways to optimize your holiday marketing programs in October Target reactivation campaigns to last year’s holiday-only shoppers to maximize active subscribers this season Perform a data cleanse and email verification to ensure message delivery. List health is key to a successful holiday season, and now is the time to double check. Consider offering Halloween-specific products for the little ones. Costumes for newborns and toddlers are on the rise, so don’t forget about the youngsters! Want more holiday marketing insights? Don’t miss our upcoming webinar, Check your list twice: Last-minute marketing strategies for the holiday season.