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
Experian Marketing Services Consumer Expectation Index shows positive outlook for 2012 holiday season Today we released the newest Experian Marketing Services’ Consumer Expectation Index (CEI) analysis of the first half of 2012. As noted in the release, during the first six months of 2012 we reported that consumer optimism has reached an all-time high over the last four years, beating 2008 by 8 index points. The CEI provides us with unprecedented insight into our economic outlook by who we are; men versus woman, age, household income and employment status, to name a few of the 60,000 variables that we have access to. What’s most striking about today’s release is that optimism is up across the board among men and woman and all age groups; even the unemployed increased their economic outlook from an index of 87.6 to 88.0 from the first half of 2011 to the same period this year. As we approach the holiday season, the latest CEI figures indicate a strong seasonal performance for retailers. The CEI figure for the week of Sept. 3, 2012, (the most recent single week for which data is available) was 7.4 points higher than it was at the same point last year and higher than it has been heading into the holiday season since 2008. This holiday season also could be very good for brands and retailers with big-ticket items to sell Further, key consumer groups are even more optimistic. On Sept. 3, the CEI of those adults who made an online purchase in the past year was 2 percent higher than the national average and 8.1 points higher than the CEI recorded for online shoppers at this time during 2011. This holiday season also could be very good for brands and retailers with big-ticket items to sell, since the CEI among adults planning to make a big-ticket purchase hit 117.9 the week of Sept. 3, 2012, compared with 103.5 the same week in 2011 and 100.5 in 2010. In fact, a CEI above 100 indicates that consumers are more confident than they were during the base line period, which was the first half of 2004, years before the recession began. Perhaps it’s all the talk of the looming fiscal cliff that makes today’s release appear to be counter-intuitive. In fact searches for “fiscal cliff” increased over ten-fold comparing last week to the week ending November 3rd. However, if we look for what people were searching for using search term variations, the top searches were “what is the fiscal cliff” and “fiscal cliff definition,” showing that consumers are still learning what the fiscal cliff is and what it means for them. Hitwise "Fiscal Cliff" Search Term Variations Rank Search Term Percent Volume 1 fiscal cliff 48.07% 2 what is the fiscal cliff 6.74% 3 fiscal cliff definition 6.58% 4 fiscal cliff 2013 6.28% 5 obama fiscal cliff 2.83% 6 what is a fiscal cliff 2.40% 7 the fiscal cliff 1.13% 8 what is fiscal cliff 1.06% 9 fiscal cliff looms 1.03% 10 fiscal cliff defined 0.77% Note – data is for the 4 Weeks Ending November 10, 2012 Source: Experian Marketing Services As the population becomes more educated on the looming crisis, we’ll keep tabs on any resulting changes to consumer optimism, specifically which demographics are most concerned. Learn more about the CEI here.
It is time for us to polish off our crystal ball and give our predictions straight from consumers’ fingertips for the hot products of the 2012 holiday season. Gadgets will reign across many ages Tablets including LeapPads, Tabeos, iPads, Kindles and others will continue to be a popular gift this year, with more choices than ever. On the list of top product-related search terms driving traffic to the Retail 500 category of sites, Kindle Fire HD and Windows 8 top the list as new products. Additionally, Meep!, a child friendly tablet appeared in the top fifteen. Accessories for both phones and tablets will also be popular, especially as the variety grows for iPhone 5 and iPad Mini. A reoccurring favorite gift for the holidays is UGGs which shows a decrease year over year. However, another brand with a similar product is Bearpaw, which is in the top ten searches and has seen big growth year over year. Source: Experian Hitwise Dolls, video games and Furbys, oh my! To identify the popular toys for gifts this year, we researched product-related search terms driving traffic to ToysRUs.com compared to last year’s holiday season. We uncovered trends in the doll category, Doc McStuffins as number one on the list, along with the classic Barbie, which saw a growth in searches year over year. The Furby is making a strong comeback at the number two spot with a reboot and new features. Another trend here is tablets, from branded searches like LeapPad and Kurio there is also the generic term ‘tablets for kids’. In the video game category, the new Wii U that is debuting just in time for Black Friday and should be a big gift this year, along with searches for PS3 games and the Nintendo 3ds xl are all in the top 20 searches. Source: Experian Hitwise Keywords of the consumer to identify demand Beyond product names, it is important to understand the actual way people search, using key phrases and questions. Last year, for example, there was a lot of activity around ‘in-stock’ products, such as the LeapPad explorer, which was hugely popular and quickly sold out in many stores. Retailers and marketers should monitor this throughout the season and make sure to optimize for in stock if there is a popular product that they have available. Source: Experian Hitwise Consumers also focus on what is the ‘best’ – so we see search activity around ‘best place to buy’, particularly around electronics. Questions such as ‘where to buy a’ specific product are also common, such as ‘where to buy a kindle’. These phrases offer opportunities to boost search campaigns by considering how consumers phrase their questions to ensure to capture these searches. Source: Experian Hitwise Quick tip: In the retail category there will tend to be a lot of retail branded store terms but to keep up with holiday search behavior and help make analysis quick, create portfolios of branded terms to easily exclude those from a certain category. When you strip out all the variations of that term you are able to gain insight into product searches that are most popular to a certain site or category. For more insight on the hot product trends for this year from our Hitwise trend-spotters, watch our webcast.
The holiday season – a most wonderful time of the year for retailers – is underway and marketers are tweaking their campaigns for better customer engagement and enchantment. There are many channels in which to reach top customers and prospective customers, and the new holiday season is a great time to refine strategies and tactics to ensure success. To help marketers in their quest, Experian Marketing Services recently conducted a market research study and learned that email marketing trumped all other tactics as the most successful initiative during the 2011 holiday season. Of the 84.2 percent who used email marketing, 95.8 percent reported that their campaigns were successful. Ninety-three percent said they planned to increase or maintain the same level of investment for the 2012 season. In addition to email, the study showed that paid search and online display advertising were the next most successful marketing tactics of the 2011 holiday season, with 48.9 percent naming search and 34.8 naming online display advertising as extremely or very successful campaign tactics. Our internal experts are currently looking at real-time data around these and other marketing channels and will present what they’ve learned during a live webinar on Thursday, October 25th at 1:00 p.m. EST. This information should prove very helpful to marketers who want to improve their campaigns based on current trends and results. Register for the holiday webinar and you’ll receive all of the survey data in the form of a 2012 holiday marketing white paper. Here’s to a joyous and profitable holiday season!