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How the AI revolution is transforming the future of commerce

Published: September 10, 2024 by Experian Marketing Services

The widespread adoption of AI in commerce

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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Emerging consumer behaviors Consumer behaviors and preferences have been changing and reshaping the Black Friday shopping landscape over the last few years. Looking ahead to Black Friday 2024, several trends from last year are likely to continue shaping the shopping experience. Early shopping The early holiday shopping trend will continue to become more pronounced. Many consumers now begin their end-of-year shopping well before Halloween, seeking to take advantage of early deals and discounts, enjoy more time to compare prices and products, avoid crowds, secure popular items early, and spread out their budget. In 2023, Gallup found that one in four holiday shoppers even starts as early as September. This means your business must begin planning sales and promotions earlier in the season and roll them out sooner. The value of experiences We’re seeing an interesting shift toward gifting experiences over physical items among consumers with more disposable income. In a 2023 survey, one in five respondents said they’d prefer to get an experience as a gift over an item. Those in higher income brackets are allocating more of their holiday budgets to experiences that create lasting memories, such as theme park passes, art classes, concert tickets, and so forth. This trend will require retailers to get creative, potentially: Hosting giftable in-store events Enhancing the in-store experience Using experiential marketing to make deeper consumer connections Partnering with other companies to provide bundled gift/experience packages Preference for digital channels Media consumption habits and preferred engagement channels are also undergoing significant changes. Consumers increasingly turn to digital channels like streaming TV and connected TV (CTV) for entertainment and information. CTV ad spending, in particular, is expected to grow by 20% in 2024 and by low double digits into 2027. 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Key products and categories Research has shown that the most popular in-store purchases of Black Friday weekend in 2023 included clothing/accessories and electronics. 82% of shoppers bought clothing in-store to inspect colors, material, and fit 73% said they would buy electronics in store to compare quality These categories were followed by: Health and beauty (49%) Household appliances (44%) Sports/leisure (32%) Interestingly, the same categories were also the top sellers online during Cyber Week 2023, with 79% of buyers seeking clothing/accessories and 66% intending to purchase electronics. Amazon was one of the most popular shopping destinations for Cyber Week 2023, with over a billion items sold. Some of the top-selling items included the Amazon Fire TV Stick and Ring Video Doorbell. This indicates a consistent consumer preference across different shopping channels and suggests shoppers are comfortable buying a wide range of products online, even during traditional in-store shopping events. Looking ahead, retailers can reasonably anticipate continued demand for clothing/accessories and electronics, both in-store and online. Marketing strategies that worked Last year was a year of growth, albeit slow growth, despite economic uncertainty. Here are some of the marketing strategies deployed that contributed to this growth. Influencer collaborations Data from a 2023 Black Friday report showed that seven of every 10 shoppers acknowledged an influencer’s role in their purchase decision. Partnering with influencers to promote Black Friday deals and hosting live streaming sessions with influencers showcasing products helped reach new audiences and build credibility. Influencers' recommendations resonated strongly with their followers, which drove traffic and increased sales. Cross-channel marketing campaigns Black Friday gives marketers a unique opportunity to engage audiences across touchpoints. Using a mix of channels, such as social media, email, websites, SMS, in-store promotions, and print media, tends to create more impactful campaigns. Last year proved to be diverse in terms of marketing channel mix. Marketers embraced a cross-channel approach to connect with their users during holiday sales, which was evident in the increased usage of channels like email, SMS/MMS, web push notifications, and emerging channels like Roku messages. Using multiple channels to promote Black Friday deals increased visibility and reached a wider audience. This comprehensive approach ensured marketing messages reached customers wherever they were. To maximize sales during the Cyber Five holiday season, activate Experian audiences as part of your omnichannel campaign. Our offerings include meticulously curated behavioral segments based on discount indicators such as Black Friday, Cyber Monday, and Coupons/Sales. These segments help you target shoppers who are ready to take advantage of your promotions and are primed for early conversion. Our marketing data was ranked #1 in accuracy by Truthset, which means you can power smarter marketing initiatives, like insights, targeting, and measurement, using the highest-rated data. App-only deals In 2023, mobile app sales increased by 2% from 2022, generating a 12% increase in app purchases and $2 billion more in revenue than the year before. Businesses offering exclusive deals through their mobile apps incentivized customers to download and use the app for their purchases, which helped boost sales through a dedicated channel. Limited-time offers Time-limited offers are the essence of Black Friday and Cyber Week, giving shoppers a timeframe for getting the lowest prices of the year on certain products. Creating urgency is a highly effective way to get people to make a faster purchase decision. Bath & Body Works is exemplary at using limited-time offers; once a year around Black Friday, they run a “Buy 3, Get 3” sale on the whole store for a single day, which encourages customers to stock up while getting their holiday shopping done. Flash sales and hourly deals are shorter limited-time promotions that generate excitement, traffic, and sales. By highlighting specific products with steep discounts, retailers encourage customers to make instantaneous purchases. Amazon is known for these, which they refer to as Lightning Deals or product discounts available for only a few hours. Early-bird discounts and exclusive previews Retailers wanting to avoid overcrowded stores or website crashes can reward those who shop early with exclusive discounts or sneak peeks into Black Friday deals. This creates a feeling of urgency and privilege that leads to a purchase. Best Buy offers its Best Buy Plus and Best Buy Total members exclusive savings during a sale period just for them. They get early access to discounts toward the end of October, after which they open up their early bird deals to the public. Predictions for Black Friday 2024 Based on what we’ve seen in 2023, we expect the following trends to shape consumer behavior on Black Friday and beyond in 2024. Consumers will use their phones to shop more often than they already do Mobile shopping is easy and discreet, allowing customers to shop from anywhere while staying on top of sales. Black Friday mobile orders increased from 2022 to 2023, with over 50% of all Black Friday sales occurring on smartphones. This indicates a growing trust in smartphone transactions among shoppers, which is why 2024 will likely reflect this trend. As a marketer, this means you should ensure your website is optimized for smartphones and tablets. Ensure load speed is quick, navigation is simple, designs are intuitive, and mobile payment options are available. You also have an opportunity to invite your customers to sign up for SMS or push notifications so they can shop deals immediately after they’re rolled out. While mobile should be a priority, we still recommend investing in multiple channels to capture online shoppers everywhere they’re buying. Our Graph can help you unify data, capture user activity, and view your target audience holistically to optimize ad spend, allocate resources effectively, and improve ROI. Marketers will start preparing their Black Friday campaigns earlier than ever With increasing market competition and pressure to accommodate early bird deal seekers, marketers will likely start preparing their discounts, inventories, and promotional materials earlier in the summer. Data enrichment can help you prepare early Black Friday promos by providing deeper insights into your customers and what they want. Enriching your existing data with behavioral, financial, and demographic information can help you create precise audience segments and personalized content, anticipate customer preferences, optimize channel placement, and tailor your promotions effectively. On average, Experian has 250 behavioral and demographic marketing attributes per individual, which means we can decorate households and people with marketing data to get a full customer profile and fill in any gaps you have on your audience. You can also consider implementing sell-side targeting to help your promotions reach the right people. If you plan to run early promotions, try not to create deal fatigue among your consumers. Focus on building a few high-quality promotions that will attract your target customers. BNPL arrangements will become more common for conversion Given lingering inflation in the U.S., consumers will still be looking for ways to stretch their money this year, and many shoppers may seek out BNPL arrangements. According to Deloitte, 37% of shoppers have used these services historically, and these arrangements have proven to increase conversions by up to 30%. With so many shoppers wanting the financial convenience of making large purchases without the immediate financial burden, marketers can use data enrichment to identify their target segments most likely to use BNPL and create personalized offers and promotions for them. Your strategy should include high-value offers and messaging that appeal to budget-conscious shoppers and a checkout optimized for BNPL options. Channel switching will surge Black Friday and Cyber Monday sales are starting to become channel-agnostic, with consumers browsing online, on mobile apps, in physical stores, and on social media. As such, they expect a unified experience wherever they browse. Any inconsistency can disrupt the purchase journey and deter potential buyers. As the shopping experience becomes more connected, consumers are moving between channels more frequently, which means integrating data from various touchpoints will be crucial to understanding and predicting customer behavior. Marketers must develop cohesive omnichannel strategies with consistent messaging and promotions across channels. Your campaigns should span multiple channels so customers can engage with your brand in various ways. We work with major platforms, marketers, and agencies, which means we have existing partnerships across the ecosystem for you to connect with and bring your consumer data to life to meet your needs. Paid search will drive the most sales Research from Adobe shows paid search as the top sales driver of Cyber Week 2023, comprising nearly 30% of all online sales. Due to the high-intent customers captured by paid search and the surge in shopping on mobile devices, we expect to see paid search drive much of the Black Friday sales in 2024 — especially as advances in data analytics and AI allow marketers to optimize paid search campaigns more effectively. They can analyze vast amounts of data to refine keywords, ad copy, and bidding strategies for higher ROI and better targeting. In 2024, it's essential to prioritize paid search strategies and focus on using relevant, high-performing keywords for your campaigns. You can continuously refine your strategies using AI and data analytics to target high-intent customers. Additionally, integrating insights from customer behavior data will help you create more personalized, impactful ad copy and heighten the effectiveness of your paid search efforts. Experian can help you win Black Friday 2024 Want your marketing campaigns to stand out and reach your audiences on Black Friday this year? Partner with Experian to create data-driven, targeted, impactful 2024 holiday campaigns. Our data empowers you to gain valuable insights and optimize your holiday marketing strategies. We can connect online and physical transactions to our Experian household ID for a holistic view of customer behavior, connect ad exposure with foot traffic, or employ control group lift analysis to measure campaign effectiveness. By activating our purchase-based holiday audiences, like last-minute and one-stop holiday shoppers, you can reach the segments most likely to spend with you. Integrating with over 150 channels, we’ll help your campaigns reach your audience wherever they are. You can even utilize our connections to various digital platforms and partners to expand your reach. With Experian’s measurement offerings, you can make data-driven decisions about your activation strategies. Engage the right audiences and drive exceptional results this holiday season with Experian. Get started Latest posts

Jul 16,2024 by Experian Marketing Services

Introducing Experian’s Collaboration in clean rooms offering

At Experian, we power data-driven advertising through connectivity. Today, we're excited to introduce our newest offering, which helps drive that connectivity: Experian's Collaboration in clean rooms. This offering is now generally available in InfoSum, AWS Clean Rooms, and others. Experian can now facilitate successful data collaboration across multiple secure environments, such as at Experian, through crosswalks, and now in clean rooms. Whether you are a marketer or partner, introducing Experian’s signal-agnostic offline and digital identity graphs into your clean rooms lets you run identity resolution directly in the clean room. This means your data remains secure, while you and your partner experience higher match rates and you maximize your clean room investment, leading to: More resolved data More valuable insights and smarter activation More accurate and complete measurement A leap forward in data collaboration Backed by Experian’s Global Data Principles, Experian's deep roots in identity and data security offer the most effective and trusted ways to match data and protect consumer privacy. Our signal-agnostic approach means we can resolve all types of offline and digital identity signals, which is valuable now and will become even more valuable as third-party cookies go away. Additionally, data hygiene is built right into our collaboration offering, helping to improve match rates. The benefits of working with Experian’s rich identity data in a clean room environment are obvious so it is no surprise to see that 55% of data clean room users are using identity solutions in data clean rooms. What are data clean rooms? Data clean rooms are a tool typically used for data sharing, built on top of cloud providers such as AWS clean rooms. They protect data privacy while facilitating data collaboration among clients, marketers, businesses, and their partners. As the industry places greater emphasis on data security, clean rooms have emerged as secure environments that allow companies to: Enhance user privacy protection Minimize the impact of cookie deprecation Secure collaboration with data partners The industry has quickly realized that, for what clean rooms offer by way of privacy and security, they lack resolution capabilities, typically yielding subpar match rates. Benefits of Experian's Collaboration in clean rooms offering Built upon Experian’s rich offline and digital identity foundation, with support for various identifiers across platforms, Collaboration in clean rooms helps clients maximize the value of their data and meet the diverse needs of modern business. Through Experian's Collaboration in clean rooms offering, you can: Collaborate with partners for richer data insights Achieve higher match rates Improve audience building Produce more accurate and complete reports Ensure data privacy Regardless of the identifier type you are looking to collaborate on, Experian has the identity data to support you and your partner. This leads to higher match rates and more resolved data for you to use to benefit your media initiatives. Get started with Collaboration in clean rooms today Get the most out of your first-party data with Collaboration in clean rooms, which is essential for businesses that want to compete in a fast-paced market and connect with consumers in today’s data-driven world. We understand the importance of data collaboration and make seamless, secure data sharing possible between partners. Connect with us today to find out how Experian's Collaboration in clean rooms offering ensures privacy while allowing you to extract valuable data insights for smarter data-driven advertising. Start collaborating Latest posts

Jul 15,2024 by Lucy Simmonds

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