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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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Here are 6 audience segments that you can activate to target consumers focused on spring cleaning and home improvements: Purchase Transactions > Household Goods > Frequent Spenders Purchase Predictors > Shoppers All Channels > Home Maintenance and Improvement Purchase Transactions > DIY and Advice Seekers > High Spenders Purchase Transactions > Home Improvement/DIY > High Spenders Retail Shoppers: Purchase Based > Home Improvement & DIY > Hardware & Home Improvement Retail Shoppers: Purchase Based > Shopping Behavior > Big Box and Club Stores: Walmart Frequent Spenders Gardening Spring is the time when consumers are investing in gardening equipment for lawn care. Here are a few audience segments you can activate to target consumers focused on gardening: Retail Shoppers: Purchase Based > Home Improvement & DIY > Garden & Landscaping Stores: Frequent Spenders Lifestyle and Interests (Affinity) > Hobbies > Gardening Lifestyle and Interests (Affinity) > Moms, Parents, Families > Gardening Mothers Purchase Predictors > Shoppers All Channels > Lawn and Garden Movers and new homeowners Did you know? 44% of new homeowners are between the ages of 25-39*. Improve engagement for your spring targeting by pairing our new homeowner audiences with our Demographics > Ages > 25-29, 30-34, and 35-39 syndicated audiences. Here are a few you can activate now: Life Events > New Homeowners > Last 6 Months Life Events > New Movers > Last 12 Months Mother's Day: Unveil the perfect gift Appealing to the emotion of gratitude and love, Mother's Day is a significant occasion for marketers. 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Here are 6 audience segments that you can activate to target consumers getting ready to celebrate Mother's Day: Retail Shoppers: Purchase Based > Seasonal > Mothers Day Shoppers Spenders Lifestyle and Interests (Affinity) > Moms, Parents, Families > Mothers with 2+ children Mobile Location Models > Visits > Mothers Day Shoppers Lifestyle and Interests (Affinity) > Moms, Parents, Families > Moms Age 25-54 Mobile Location Models > Visits > Jewelry Retail Stores Retail Shoppers: Purchase Based > Shopping Behavior > Florists & Flower Gifts: High Spenders Father's Day: Celebrate Dads in style Highlighting the significance of paternal bonds, Father's Day is an excellent opportunity to showcase thoughtful gifts and experiences. Engage the "Father's Day Shoppers" or "Growing and Expanding families" with content and products aligned with their interests. Craft a campaign that acknowledges the varied roles fathers play and the unique gifts they would appreciate. 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Here are 6 audience segments that you can activate as part of your TV planning strategy: Retail Shoppers: Purchase Based > Entertainment > Streaming/Video/Audio/CTV/Cable TV: Cable/Broadcast TV: Cord Cutters: Recent Retail Shoppers: Purchase Based > Entertainment > Streaming/Video/Audio/CTV/Cable TV: Streaming Video: High Spenders Television (TV) > Ad Avoiders/Ad Acceptors > Ad Avoiders Television (TV) > TV Enthusiasts > Paid TV High Spenders Television (TV) > Ad Avoiders/Ad Acceptors > Ad Acceptors Television (TV) > Household/Family Viewing > Pay TV/vMVPD Subscribers Households To find consumers who are most likely to engage with your TV ads, you can layer in our TrueTouchTM engagement channel audiences: TrueTouch: Communication Preferences > Engagement Channel Preference > Digital Video TrueTouch: Communication Preferences > Engagement Channel Preference > Streaming TV Summer preparation: Anticipate the fun ahead As spring transitions to summer, help your audience gear up for the upcoming season. Target "Summer break travelers" or "Memorial Day Shoppers" with offerings that align with their summer plans. Whether it's fashion, travel essentials, or outdoor gear, position your brand as an essential companion for their summer adventures. Here are 6 audience segments that you can activate to target consumers getting ready for summer: Mobile Location Models > Visits > Summer Break Travelers Retail Shoppers: Purchase Based > Seasonal > Summer Sales Event Shoppers: Independence Day Shoppers Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Summer Trips Mosaic – Personas – Lifestyle and Interests > Group B: Flourishing Families > B09 – Family Fun-tastic (Upscale, middle-aged families with older children that live in suburban areas and lead busy lives focused on their children) Mobile Location Models > Visits > Memorial Day Shoppers Retail Shoppers: Purchase Based > Seasonal > Summer Sales Event Shoppers: High Spenders: Memorial Day Shoppers Did you know? Consumers between the age of 45-49 make up the largest percentage of top apparel shoppers*. Improve engagement for summer apparel shopping targeting by refining your audience with our Demographics > Ages > 45-49 syndicated audience. Spring into effective advertising with Experian’s syndicated audiences For spring advertising campaigns, understanding your audience is the key to success. By activating Experian's syndicated audiences, you can refine your approach and resonate by activating specific segments. Embrace our syndicated audiences so you deliver campaigns that not only capture attention but also build lasting connections with your audience. As you embark on this spring marketing journey, remember – the possibilities are as endless as the blossoming flowers. Connect with our audience team Need a custom audience? Reach out to our audience team and we can help you build and activate an Experian audience on the platform of your choice. Additionally, work with Experian’s network of data providers to build audiences and send to an Audigent PMP for activation. You can activate our syndicated audiences on-the-shelf of most major platforms. For a full list of Experian's syndicated audiences and activation destinations, download our syndicated audiences guide below. Download our syndicated audiences guide Check out other seasonal audiences you can activate today. Take me there Footnote *Experian looked at our demographic and purchase-based data to understand retail trends over the past year. Our demographic and purchase-based data covers credit and debit card usage across 500 top merchants. Latest posts