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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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NEW YORK, May 4, 2016 /PRNewswire/ – Tapad, the leader in cross-device marketing technology and now a part of Experian, has been honored with two iMedia ASPY Awards. Announced on May 3rd at the iMedia Summit in Lost Pines, TX, Tapad's 2016 ASPY Awards include "Best Customer Service" and "Best Mobile Partner." In 2015, Tapad's proprietary technology, Tapad Device Graph™, was named "Best New Media Innovation" and Tapad employee Chris Martin was awarded the "Rising Star Award." The iMedia ASPY Awards – determined exclusively by agency votes – recognize the industry's top marketing technology, media companies and publishers for outstanding service to agencies. The award for "Best Customer Service" recognizes Tapad's client services team and their dedication to helping agencies fully understand their consumers' behavior and achieve the best cross-screen campaign ROI through Tapad's Campaign Pulse and TV Pulse analytics reporting. The "Best Mobile Partner" win recognizes the abilities of the Tapad Device Graph™ to deliver unified cross-screen solutions for the company's partners. "We are privileged to have a talented and dynamic group of people on our client services team, and we are honored to be recognized by iMedia Connection and our agency partners," said Tapad Founder and CEO, Are Traasdahl. "We have always strived to provide the best solutions and the best customer support, so it's extremely gratifying to be rewarded for our efforts. If our clients and partners are happy, we are happy." For more information on the iMedia ASPY Awards please visit: http://aspyawards.com. Read the full press release here. Contact us today!
This article is an excerpt from Experian Marketing Services’ 2016 Digital Marketer Report. Download the full report to discover more insights and trends for the upcoming year! Support your mobile app with other mobile marketing initiatives Marketers are fascinated by mobile, and for good reason. It’s increasingly the device of choice for consumers. SMS and MMS messages, push notifications and the app inbox all offer marketers the ability to communicate directly with customers in a way that is immediate and friendly. Yet there seems to be an interest gap between developing mobile apps and building other mobile initiatives. In this year’s Digital Marketer Survey, 53 percent of respondents indicated that they plan to integrate a mobile app into their mobile marketing program in 2016, compared with only 40 percent for other mobile programs like SMS or MMS. Without a doubt, well-designed apps can be incredibly useful for building the brand relationship. Good apps focus on improving the customers’ experience by making their lives easier – by tailoring the content to their personal experience or lessening the number of steps it takes for them to perform an action. In service-based industries, apps can alleviate the need for in-store or in-branch services, helping companies become more lean and efficient. For example, consumer bank apps have redesigned the experience of depositing a check or transferring money between accounts, allowing them to cater to their customers’ needs faster and more efficiently than ever possible through a physical teller. That said, mobile apps are also time- and resource-intensive to develop, especially if they are well designed. Other mobile initiatives, like SMS and MMS text messaging programs or mobile wallet, require less investment to create and maintain. Additionally, imagine if every marketer who shared a plan to build an app actually followed through. That would mean a lot of competition for customers’ limited phone space. This is why I find the interest gap fascinating. Mobile apps are useful, but they should be part of a cohesive mobile strategy, supported with other mobile programs like SMS and MMS messaging that are less costly and can serve as an effective alternative for communicating with customers who have push notifications disabled, are inactive users, don’t have compatible phones or simply haven’t downloaded your app. Business needs can dictate mobile marketing strategy This concept is especially important for brands that use the mobile space to communicate service-related or operational messages, such as shipping and delivery notifications, fraud alerts or travel delay notices that require immediacy. These kinds of messages are time-sensitive and valuable. Customers who don’t have your app will benefit from their receipt if you offer it to them via another channel. Of course, it’s important to remember that not every business fits usage of SMS and MMS or app programs. Consider the needs and preferences of your unique customers to determine the need to develop a mobile program. After all, mobile experiences that are not well thought through may be more damaging than beneficial. According to a Google study of smartphone users, 66 percent of consumers will take negative action if a mobile site or app doesn’t satisfy their needs, such as being less likely to return to the site or app (40 percent) or purchase products from the company in the future (28 percent). Ultimately, if you’re investing in a mobile app experience, don’t forget about the power of a complimentary text message strategy. Mobile app marketing and text messages can go hand in hand. Develop an SMS experience that proves the value of your brand in the mobile space. Once you do, your customers and prospects will be more likely to believe in the value of your full app experience.
Cross-screen marketing tech firm, Tapad, drove unified campaign; partnered with Statiq to measure cross-screen impact on in-store visits LONDON, March 8, 2016 /PRNewswire/ — Carat North completed the UK's most comprehensive digital campaign with Tapad, the leader in cross-device marketing technology and now a part of Experian. Coupled with location-based audience data from Statiq, this marks the first time a UK-company has measured the impact of unified, cross-screen campaign on in-store visits. Carat North served display and video ads to grocery shoppers for the leading retailer ASDA from August through October. During the campaign, Tapad utilized Statiq's audience data to measure which users visited a store after being exposed* to the campaign's ad on multiple devices. The digital campaign demonstrated a lift of 59% for in-store visits when users were exposed to ads on three devices over people who were shown an ad only on onescreen. Those who engaged with the ad were also 411% more likely to visit an ASDA store. Of those who were exposed to an ad, 248% were more likely to visit a store. Impressions served to mobile devices saw the highest success rate with an in-store visit lift of 67%. The campaign leveraged Tapad's proprietary technology, The Device Graph™, which Nielsen confirmed Tapad's cross device accuracy to be 91.2%, to serve ads sequentially on connected devices belonging to the same user. CARAT NORTH: "The ability to know which devices belong to our customer, coupled with the ability to deliver the right ad, and right message, wherever they are and on whatever device they're using, has been something this industry has long needed," said Steve Thornton, Digital Account Manager, Carat North. "We're impressed with the results that have come from the work with Tapad and Statiq for this media-first, and look forward to continuing to offer these solutions to clients like ASDA. Matching unified cross-device capabilities with real insights on campaign performance is an invaluable advantage in the marketing world." TAPAD: "This campaign is a perfect example of the capabilities of cross-device advertising," said Are Traasdahl, Founder and CEO, Tapad. "In addition to reaching users across devices, we're able to analyze campaign results and determine how different combinations of ad exposure, creative type or view frequency affected their decision to visit a location." STATIQ: "As a location data specialist, Tapad is our ideal partner – they are an industry leader and by working with them we are able to determine the impact unified messaging has on real world consumer behaviours," said Dean Cussell, Co-Founder of Statiq. "We believe this type of analysis will significantly aid brands in optimising future ad spend." About Carat North Carat North is a leading independent media planning & buying specialist in digital and non-traditional media solutions. Owned by global media group Dentsu Aegis Network, the Carat network is more than 6,700 people in 130 countries worldwide across 170 cities. Carat defined the sector when established as the world's first media independent in 1968 and is now Europe's largest media network, a position held for more than 15 years. For more information visit www.carat.co.uk About Tapad Tapad Inc. is a marketing technology firm renowned for its breakthrough, unified, cross-device solutions. With 91.2% data accuracy confirmed by Nielsen, the company offers the largest in-market opportunity for marketers and technologies to address the ever-evolving reality of media consumption on smartphones, tablets, home computers and smart TVs. Deployed by agency trading desks, publishers and numerous Fortune 500 brands, Tapad provides an accurate, unified approach to connecting with consumers across screens. In 2015, Tapad began aggressively licensing its identity management solution, the Tapad Device Graph™, and swiftly became the established gold-standard throughout the ad tech ecosystem. Tapad is based in New York and has offices in Atlanta, Boston, Chicago, Dallas, Detroit,Frankfurt, London, Los Angeles, Miami, Minneapolis, San Francisco and Toronto. TechCrunch called the powerhouse Tapad team "a hell of a list of entrepreneurs who created some of the most valuable online advertising companies of the last decade." Among Tapad's numerous awards: EY Entrepreneur of The Year (East Coast) 2014, among Forbes' Most Promising Companies two year's running, Deloitte's Technology Fast 500, Crain's Fast 50, Entrepreneur 360, Digiday Signal Award, iMedia ASPY Award, and a MarCom Gold Award. Read the full release here. *Tapad utilized Statiq's audience data to measure which users visited a store during, or within one month of, being exposed to the campaign's ad on multiple devices. Contact us today!