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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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CASL will come into force in phases starting July 1, 2014 The information below should not be considered legal advice. Please consult with appropriate legal counsel before relying upon the compliance information provided below. As of December 2013 both regulators responsible for implementing Canada’s Anti-Spam Law have finalized their regulations. Industry Canada’s guidelines confirm all but one of the expected exemptions, provide needed clarifications to key requirements and delay implementation of the more controversial aspects of the law. Over the past two years we have been updating you on CASL’s developments and efforts by industry groups to address unclear or onerous aspects of its proposed regulations. With Industry Canada confirming all but one expected exemptions and providing detailed guidance in its Regulatory Impact Analysis Statement, marketers should now have an easier time preparing. Here is a summary of key points for Industry Canada’s final regulations: i. CASL will be implemented in three phases: a. The majority of CASL comes into force July 1, 2014; b. The rules that apply to computer programs will come into force January 15, 2015; and c. The private right of action takes effect on July 1, 2017. ii. Industry Canada has provided interpretive guidance on several issues under CASL, including: a. The definition of a "CEM"; b. The application of CASL to express consent obtained before CASL comes into force; c. The application of CASL to IP addresses and cookies; and d. The interaction between the unsubscribe requirement and implied consent. iii. New exceptions have been added for: a. Closed platforms, which would appear to apply to platforms such as BlackBerry Messenger and social medial networks; b. Limited-access accounts, where organizations communicate directly with recipients (e.g., online banking); c. Messages targeted at foreign persons; and d. Fundraising by charities and political parties. A surprising exclusion of the ‘Reasonable Knowledge’ exemption In its draft regulations, Industry Canada sought to exempt foreign senders in instances where the sender could not reasonably know that the message would be received in Canada, particularly when the recipient does not typically access email within Canada or through Canadian systems.[1] However, in its final rulemaking the Department chose to nix this exemption as “unnecessary,” choosing instead to exempt messages routed through Canada into a foreign state. [2] This omission may create challenges for marketers in situations where it’s not possible or practical to collect country of origin information.[3] We expect further clarification on this concern from Canadian regulators in the coming months. For detailed information please visit the Canadian Government’s informational website. For summary information please see the following links: http://news.gc.ca/web/article-eng.do?nid=798829 http://blog.deliverability.com/2013/12/canadas-anti-spam-law-casl-is-now-a-done-deal.html http://www.cauce.org/2013/12/canadas-anti-spam-law-coming-into-force-june-2014.html If you would like to discuss CASL’s email-related issues, please email us at digitalprivacy@experian.com or reach out to us through your account teams. [1] Archived http://www.gazette.gc.ca/rp-pr/p1/2013/2013-01-05/html/reg1-eng.html [2] See Limited Exclusions section of Industry Canada’s Regulatory Risk Impact Assessment, http://fightspam.gc.ca/eic/site/030.nsf/eng/00271.html [3] If a consumer uses a global inbox provider like Google a sender will be challenged to determine where the email is accessed. And since reverse IP geo-location records may be outdated or inaccurate, new technologies and customer self-identification processes may be needed.
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Hot holiday products With a scant 26 shopping days this holiday season, retailers need to identify hot products even faster than usual in order to run appropriate promotions and keep shoppers happy. Every year, Experian Marketing Services identifies the “hot products” that consumers want based on online searches driving traffic to the Hitwise® Retail 500, a grouping of the top online retail sites. This year, like last, the immediately recognizable footwear brand Ugg claims the top position on our list, as of November 9th. A new pair of cozy boots may sound nice as temperatures dip, but gadgets and electronics are what consumers are really hot for. Driving demand are two new major gaming consoles that hit the market this season. After several years without a major update, Microsoft will release the Xbox One and Sony will release the PlayStation 4. High consumer anticipation for both consoles won the PS4 and Xbox One a spot at number two and number three, respectively, on our hot products list. As of November 9th, variations on searches for PS4 were about 50 percent higher than search variations for Xbox One; however, the new PlayStation hits stores a week before the new Xbox, so this may change once both consoles have shipped. With smartphones and digital tablets performing the functions of traditional gifts of years past, such as cameras, stereos, books, watches, etc., it’s no surprise that the iPhone 5S, iPhone 5C and the new iPad Air are solid contenders on the hot product list. Likewise, the old-fashioned pedometer has been getting increasingly high-tech to the point where Fitbit, the wearable fitness tracker that links to your smartphone via Bluetooth, is the number four item on our list and searches this year are nearly three times what they were at this point in 2012. But not all of this season’s gadgets are high tech. In fact one of the hottest gadgets burning up the Web this season is about as old school as you can get: the loom, the Rainbow Loom, to be exact. We’ll cover this hot product in more detail in a bit, but it’s the number seven product on our list and one that every marketer targeting kids needs to have on their radar. Electronic spotlight With the tablet market heating up, iPads still enjoy a comfortable lead in terms of overall search. In fact, as of November 9th, search variations for iPad were more than four times higher than the nearest tablet competitor, the Samsung Galaxy. The Galaxy, however, overtook the Kindle Fire back in April of this year to become the second most searched for tablet. 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