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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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In this article…What is a walled garden?Integrated marketing is more important than everPerspectives on walled gardens from Cannes Lions 2023Walled gardens aren’t going away in the near futureThe fuure of walled gardens Digital marketers face an ongoing challenge in the form of "walled gardens," closed online ecosystems where it is difficult to access user data. As we get ready for 2024, it's more important than ever for marketers to evaluate the current challenges and opportunities surrounding walled gardens and to take stock of the impact of walled gardens in marketing as an industry. What is a walled garden? A walled garden is a closed online ecosystem controlled entirely by one tech company. Advertising on these ecosystems is fairly locked down, as major tech companies with walled gardens tend to tightly control access to the user data, content, and advertising that appears within the ecosystems. Some examples of walled garden ecosystems include Google, Facebook, Amazon, and Apple. These walled gardens have particular advantages, like access to massive user bases and precise targeting within the individual ecosystems. It can also be difficult to reach said audiences outside of the ecosystems, reducing the amount of control you have over your advertising strategies. Learn more about walled gardens. Learn the differences between walled gardens and hedged gardens. Integrated marketing is more important than ever Today, it's become more crucial to connect with consumers over multiple touchpoints, which can be done from tech like connected TV (CTV) to websites, mobile devices, and even shopping in a physical store. However, as integrated marketing gains utility, many platforms with walled garden ecosystems have increased, making a truly integrated and personalized marketing strategy more difficult in many situations. As a result, many marketers have realized the value of a more streamlined marketing approach, emphasizing the importance of fully integrated advertising strategies. Though there are surely marketing advantages to gain from walled garden ecosystems, especially in audience size, the challenges they pose will require you to innovate and find more creative ways to engage with your audience from platform to platform. Perspectives on walled gardens from Cannes Lions 2023 Offering a poignant view of industry trends and ideas, the Cannes Lions International Festival of Creativity of 2023 had much to say about the significance of walled gardens in the marketing world. Let's look at two key takeaways from this year's festival. Retail media In recent years, many retail companies have started selling ad space within their own walled garden shopping platforms, dubbed "retail media." Platforms like Amazon and Walmart have developed their own particular advertising ecosystems where they sell ads to marketers within the shopping environment itself. Navigating the sell-side of retail media’s walled gardens While retail media offers marketers unique opportunities, it's not without its challenges. For one, ad space in these environments is limited, so the competition can be difficult on the sell-side, leading to higher ad costs. Additionally, this shift in dynamic also forces marketers to change how they prioritize their marketing channels, looking closer at the results of their efforts rather than focusing on particular channels within the platforms themselves. Opportunities in the buy-side of retail media’s walled gardens Brands on the buy-side see various benefits from advertising within retail media channels and walled gardens. By browsing in an online shopping environment, the users in these ecosystems are likely high-intent shoppers, people who are further down the sales funnel and who are ready to make a purchase soon. Shoppers can also be precisely targeted within these environments, as marketers are given the ability to access very specific audience segments based on details like shopping behavior, preferences, and even purchase history. Omnichannel marketing To more effectively engage audiences even among an abundance of walled garden ecosystems, speakers at the 2023 Cannes Lions Festival discussed the importance of omnichannel marketing. By emphasizing strategies that reach the consumer through multiple touchpoints, marketers can deliver a unified brand experience across channels. This allows marketers to focus more on results than specific advertising channels, including walled garden platforms. Walled gardens aren’t going away in the near future Though various challenges are associated with walled gardens in advertising, they aren't going anywhere. So, what's the current state of these environments throughout the industry? Efforts are being made to break down walled gardens in tech In a handful of countries, regulatory actions have been put forward to address how dominant many major tech companies are in their respective markets. One major example of this is Meta and Google's entanglements in Canada. Currently, neither company can display news on their websites in the Canadian market. This decision was reached to give Canadian news agencies more control over their advertising revenue since, previously, the tech giants received more views and, therefore, gained the ad revenue. Though relatively small, this does indicate a certain shift in dynamic. Why companies are resisting Despite their challenges, walled gardens in 2023 persisted, mainly because they are particularly adept at generating revenue for the tech companies that control them. In 2022, 78 percent of global digital advertising revenue came from these closed ecosystems, and projections expect that figure to rise to 83 percent by 2027. From the viewpoint of a company that operates in a walled garden, the idea of releasing their control over their environment represents losing out on a stream of vast revenue, making letting go of a walled garden ecosystem an unattractive prospect. The future of walled gardens As time progresses, what can digital marketers like you expect from walled garden ecosystems in the near future? A cookieless future A huge element to consider is the transition to a cookieless future. Many major browsers have begun phasing out the use of third-party cookies. In the wake of this decision, many are looking for reasonable alternatives that allow for behavior tracking and more personalized advertising experiences. Solutions like Experian's identity resolution can provide a strong alternative option, allowing marketing strategies to adapt to the current landscape. An influx of mini gardens You should also anticipate the proliferation of various smaller, specialized walled garden ecosystems in the future. These so-called "mini gardens" specialize in more niche audiences and industries, and they can present their own challenges and opportunities. Alternative IDs As you search for new identification methods outside cookies, various alternatives have presented themselves, requiring further exploration and experimentation. Among these are privacy-compliant solutions like Unified ID 2.0, which allow you to serve more personalized ads without compromising the consumer's privacy. Navigating the evolving landscape of walled gardens in 2024 As we begin 2024, you will continue facing opportunities and challenges regarding walled gardens. The 2023 Cannes Lions International Festival of Creativity re-emphasized how important it is for marketers to stress omnichannel marketing within walled garden environments and become well acquainted with identity resolution solutions as we move into a cookie-less future. All of this requires you to become comfortable with walled gardens being here to stay and innovate to navigate an evolving and developing landscape. We’re here to help you navigate the evolving landscape of walled gardens in 2024. Contact us today. Get in touch Latest posts

A few weeks ago, Experian and OpenX hosted a supply-side think tank at our New York City office. Over 70 industry leaders met to talk about targeting in a cookieless future and how we can reach consumers in intentional ways. Publishers and supply-side partners shared what challenges they face, what solutions they’re considering, and what the future holds once the third-party cookie begins to deprecate in 2024. In this blog post, we’ll cover the top challenges, cookieless solutions, and actionable strategies we discussed at the event that can help publishers, their partners, and agencies make informed decisions about how to navigate tomorrow’s digital ecosystem. Four main challenges Four main challenges were discussed at the event: First-party data monetization Publishers possess a wealth of first-party data, but collecting and centralizing this information can be difficult for actionable insights. Streamlining data centralization and organizing first-party data is crucial for effective decision-making. Even with a wealth of first-party data, it's important to be aware of any blind spots in your data and enrich those gaps with data partners rooted in offline connections. “We appreciate the opportunity to participate in the supply-side think tank led by OpenX and Experian, two industry leaders in navigating a cookieless future. We're excited to collaborate with them on testing privacy sandbox APIs, identity resolution products, and audience development tools to enhance creator monetization and support an open internet amidst rapid technological and regulatory shifts.” Patrick McCann, SVP, Research, Raptive Lack of authenticated data and persistent IDs The deprecation of third-party cookies means there will be a shortage of authenticated user data and persistent identifiers. Without this information, targeting and personalization become more challenging. Participants discussed the need to find alternative ways to gather and use personal data responsibly. It’s time to start evaluating data partners who have accurate, multi-source compiled, privacy-compliant data with the dedication to reach and recency. Fragmentation and scale with alternative IDs currently in the market The multitude of alternative identifiers in the market poses a challenge for publishers. Each of these identifiers comes with its own set of rules and integration processes, leading to fragmentation and complexity. Publishers must find ways to navigate this landscape. Look to ID agnostic partners who provide a way to access multiple IDs at scale. “The industry needs a more streamlined standard to integrate alternative IDs, given the ongoing challenges of third-party cookie deprecation, measurement, and clean rooms. This burden falls heavily on product and engineering teams, who must prioritize and address these issues one at a time.” Ryan Boh, Head of Identity, Lockr Time Cookie deprecation is almost here. It is crucial to organize your legal, engineering, and product resources, and align internal go-to-market strategies. Establish partnerships that work with your team to follow these timelines and help build phased or cohesive strategies to prepare for a path to monetization. It is imperative to establish a sense of urgency and not wait for others to take the lead. Start testing now to determine if your infrastructure is ready and capable. Many partners who attended the think tank offered insights on how they’ve been tackling challenges to help their industry peers. Solutions and action plans for a cookieless future Participants discussed ways they are starting to prepare for a cookieless future and other approaches on their roadmaps: Work with data partners heavily rooted in offline data across the ecosystem Enriching your first-party data with partners who rely on offline IDs can help bridge gaps in your audience knowledge. This approach allows you to build a more complete audience profile while third-party cookies are still operational. Experian is rooted in deterministic offline data and has decades of experience managing it safely. We have insights on over 250 million U.S. consumers and 126 million U.S. households. With our digital technology assets, we bring in 4 billion devices and 1 trillion device signals to definitively connect offline records to online identifiers. With Experian identity widespread adoption throughout the industry, we're able to provide a common language for us all to collaborate. Experian identity organizes people into households, links their digital devices and IDs to them, enriches their identity with behavioral attributes, and then makes this data actionable in any environment, all while maintaining consumer privacy and data regulations. “Experian’s supply-side think tank provided a platform for publishers and AdTech companies to discuss the challenges posed by cookie deprecation, privacy regulation updates, and identity restrictions. It highlighted the need for AdTech companies to assist publishers in addressing anonymous users without requiring a value exchange — fostering a mutually beneficial and privacy-compliant open web solution.”Anthony Caccioppoli, Head of AdTech & Solutions, Insider Develop your own persistent ID Creating and maintaining a proprietary persistent ID can be a valuable cookieless solution. It provides control and independence in the new environment post cookie, giving publishers the ability to maintain a consistent user profile. Use your data to expand contextual targeting opportunities Contextual targeting involves placing ads based on the content of the web page rather than user data. In the absence of cookies, this strategy can prove effective in reaching relevant audiences. “The masking or deprecation of IP addresses will eventually impact the availability of addressable IDs in non-authenticated web environments. In addition to ensuring maximum resiliency of our Graph and increasing support for authentication-based IDs, we are also investing in research and development around the use of other signals, such as contextual data, to maintain behavioral targeting inside non-authenticated environments. We will be sharing our findings and future plans in this space in the coming months.”Budi Tanzi, VP, Product, Experian Facilitate a knowledge exchange Reach out to your network to find out what others are testing and what’s working. Start collaborating with agencies and brands across the buy-side to meet their needs. “The collaborative spirit displayed by our partners constantly inspires me. Listening to the obstacles our industry faces allows this community to build strong relationships, create action plans, and deliver true value.”Carly Allcorn, Account Executive, Publisher & Supply-Side Partnerships, Experian Invest in an identity graph Invest in an identity graph provider to sync first-party cookies and addressable IDs. This ensures that your data remains accessible and actionable in a cookieless world. “Many participants at our think tank with Experian expressed the need to find an identity solution while also exploring other ways they can start to address cookie deprecation while maintaining business as usual.” Callie Askenas, Director of Publisher Development, OpenX How Experian and OpenX can help Graph from Experian captures all available digital identifiers in real-time and resolves them back to individuals and households. We’re signal agnostic, continuously expand the IDs we support, and futureproof identity resolution through a combination of deterministic, probabilistic, and cookieless identifiers. Experian is a key player in OpenX’s OpenAudience solution and helps to power many of their data segments as well as their identity graph. While OpenX collaborates with a variety of providers and operates a fully interoperable platform, Experian remains valuable to the core technology within OpenX’s supply-side platform (SSP). Experian can help you prepare for the cookieless future It’s clear that the cookieless future poses some unique challenges for publishers, but there are solutions. Publishers and their supply-side partners can come up with strategies to target consumers in intentional ways by continually testing multiple identifiers and cookieless solutions, developing their own persistent ID, creating velvet rope content, and returning to contextual targeting. Collectively, these actionable strategies can help ensure that publishers have a more successful transition into a cookieless future. Experian has been preparing for signal loss for quite some time and we continue to make substantial investments to ensure our resiliency and the resiliency of our customers. We continue to diversify our signal creating profiles with more persistent identifiers which allows us to pair authentication-based universal identifiers such as UID2 into our Graph seamlessly. Experian is ready and we are here to navigate the future of privacy together. To find out more about how Experian can help you prepare for the cookieless future, get in touch with a member of our team today. Get ready for the cookieless future with Experian Latest posts

Cookies are leaving us, but that doesn’t have to mean performance has to. That’s why Experian is taking the steps needed to future-proof identity in our Graph, including adding Unified ID 2.0 (UID2) from The Trade Desk. Experian currently supports UID2 in our Graph outputs for demand-side platforms (DSPs). UID2 support in our Graph outputs will be available to all approved partners by December 2023. In this blog post, we talk about why cookieless IDs, like UID2, that are coming to market because of cookie deprecation, are important, and how incorporating cookieless IDs into an identity graph can help you prepare for a cookieless future. What are cookieless IDs? Like cookies, cookieless IDs provide you with a comprehensive view of a consumer’s digital activity. Unlike cookies, identity providers produce cookieless IDs, using user-consented data and deterministic and probabilistic data signals (like hashed emails or mobile ad IDs). Cookieless IDs are a newer identifier that allows the advertising industry to maintain our understanding of consumers’ digital actions, helping to ensure we continue to generate smart, data-driven insights, targets, activation strategies, personalized experiences, and measurement and attribution. Why should you incorporate cookieless IDs into an identity graph? Adding cookieless IDs to an identity graph allows for licensees of the graph to: Resolve the universal ID to a consolidated consumer profile and know which other digital IDs tie to the cookieless ID Establish a unified view of the consumer with a privacy-compliant ID Produce data-driven and informed advertising strategies that still drive results, without the use of cookies Experian’s Graph Experian’s Graph is one of the most robust and signal agnostic identity graphs in the market. Experian’s Graph supports most digital IDs, including cookieless IDs, such as ID5, UID2, and Hadron ID. When you license Experian’s Graph, you increase your ability to better understand the different digital IDs that tie to a household or individual. Additionally, with our cookieless ID support, you can continue to understand your consumer and their digital IDs in the cookieless world. Why is it crucial to include UID2 support in Experian's Graph outputs? The Trade Desk is the largest, independent demand-side platform. They’ve created a cookieless ID, UID2, that they hope can power the advertising world to come across the open web. UID2 is an alternative solution to third-party cookies that when utilized in an identity graph, can offer a clearer picture of your consumer, enabling frequency controls and better management, across both digital and connected TV (CTV). Approved DSPs can add UID2s to their Experian Graph, giving them access to one of the more trusted and prominent cookieless IDs in the market today. Additionally, DSPs can use this identifier to decide whether to bid on certain inventory or not, on behalf of their advertiser partner. And, if we hedge our bets, it will only grow in prominence and use. While only available to approved DSPs today for use in the Experian Graph, the forthcoming encrypted UID2 token will provide this capability to the entire ecosystem, which allows us all to speak the same language and operate as efficiently as possible. "We are excited to support UID2, one of the premier IDs to support the future of addressability across the open internet, in the Experian Graph. We continue to see the adoption of UID2 across the demand-side ecosystem, increasing addressability across growing channels like CTV and beyond. I am personally excited to see how this momentum continues to increase over the remainder of 2023 and into 2024."chris feo, svp, sales & partnerships, experian Future-proof your identity strategy with Experian Graph and UID2 We’ve seen the impact that cookies have had on digital advertising and marketing. With the impending third-party cookie deprecation, you will need to adopt alternative cookieless ID solutions such as Unified ID 2.0. Experian is well-positioned to help you navigate this change, offering UID2 support in our Graph outputs for all approved partners by December 2023. Take the right steps now to future-proof your identity strategy and discover lasting success even without cookies. Alongside Experian’s Graph solution, you can achieve resilience in an ever-changing world of digital marketing and advertising. Now is the time to get ready for a cookieless future. Connect with an Experian team member to learn more about our Graph capabilities today. Learn more about Experian's Graph today Latest posts