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Future of eCommerce Web Development: How Does AI Fit In It ?
Calibraint
Author
October 11, 2023
Last updated: October 12, 2023
Table of Contents
Have you ever wondered how much AI is changing the eCommerce web development sector? Its impact on our world is quite evident as we are witnessing several new platforms on a regular basis. AI is helping eCommerce web developers to create more user-friendly, personalized, and efficient websites that can boost sales and customer satisfaction.
What Is eCommerce Web Development?
eCommerce web development is how we create and manage online platforms that let us buy and sell products over the internet. Integrating AI in eCommerce web development can enhance the user experience by helping us to find what we want, increase sales, save us time and money, and more.
In this blog, we will look at how AI is helping us with eCommerce web development, its challenges, and future trends.
Applications of AI in eCommerce web development
AI is revolutionizing eCommerce web development in unprecedented ways. With AI technology, business owners are able to resolve the issues that exist in traditional business models. Here is how AI in eCommerce web development is changing the market.
Personalization
AI can help us create personalized experiences for our customers, such as showing them relevant products, offers, recommendations, reviews, etc. based on their preferences, behavior, location, etc. For example, Amazon uses AI to show personalized recommendations to its customers based on their browsing and purchase history.
Inventory management
AI can help us manage our inventory efficiently, such as predicting the demand, optimizing the supply chain, reducing waste, etc. For example, Walmart uses AI to monitor its inventory levels and replenish them automatically when needed.
Chatbots
AI can help us provide customer service and support through chatbots, which are software programs that can interact with customers using natural language. Chatbots can answer common questions, provide information, resolve issues, etc. For example, eBay uses AI to power its ShopBot, which helps customers find the best deals on its platform.
Fraud detection
AI can help us detect and prevent frauds and scams on our platforms, such as fake reviews, fake accounts, fake transactions, etc. AI can use machine learning and data analysis for fraud detection to identify patterns and anomalies. For example, Shopify uses AI to flag suspicious orders and transactions on its platform.
Challenges of AI in eCommerce web development
Almost all web applications are built on cloud infrastructure and as the user-load keeps increasing, integrating AI in eCommerce platforms becomes crucial. It can be tailored to business needs and provide actionable insights quickly. In addition, AI has the potential to simplify access to tools for employees who need to be tech-savvy. However, implementing AI in eCommerce platforms can also pose some challenges and limitations for the development team, such as:
Complexity
AI systems are usually difficult to design, build, test, deploy, and maintain. They may require specialized skills, tools, resources, etc. It may throw several challenges while scaling up or down according to the demand or performance of the business. During this phase, the system might face issues in compatibility, integration, interoperability, and more. AI systems may also not be reliable or consistent in their results or behavior, and there are chances for failure or malfunction under certain conditions or scenarios.
Microsoft faced embarrassment back in 2016 when its AI-based chatbot Tay turned racist and sexist after interacting with online users.
Ethical issues
AI may also raise ethical issues such as bias, discrimination, transparency, accountability, etc. in eCommerce web development. AI systems may not be fair or accurate in their decisions or recommendations and may favor or harm certain groups of customers or products based on their data or algorithms. AI systems may also not be transparent or explainable in their workings or outcomes, and may not be accountable or responsible for their actions or errors.
Even eCommerce giants like Amazon faced criticism because of its AI system. It was reported that its AI-based recruiting tool was biased against women.
Data privacy
AI in eCommerce relies on large amounts of data to learn and improve, but this also raises concerns about the privacy and security of the data collected from customers and platforms. Customers may not be comfortable with sharing their personal information, preferences, behavior, etc. with AI systems, and platforms may face risks of data breaches, leaks, or misuse.
A few years back, Facebook faced a huge backlash when it was revealed that it shared the data of millions of users with Cambridge Analytica, a political consulting firm that used AI to influence elections.
Emerging Trends and Future of eCommerce Web Development with AI
Trends are important to look at as it makes way for healthy competition in the market. They also help businesses improve their overall profit and stay relevant. Here are some of the trends and innovations that AI in eCommerce can bring to this field in the near future:
Voice search
Voice search is slowly gaining popularity in the market as it can now detect our commands with better accuracy. With the rise of smart speakers, many eCommerce platforms have started to integrate voice-based search options into their platforms. People will be able to search for products, place orders, track deliveries, etc. With the introduction of new AI-based platforms, we can expect this functionality to get more advanced in the near future.
Natural language processing
NLP can help eCommerce web development by improving the communication and interaction between customers and platforms, such as creating more engaging and personalized content, generating product descriptions and reviews, providing feedback and suggestions, etc.
Augmented reality
AR can help eCommerce web development by providing customers with a more immersive and realistic shopping experience, such as allowing them to try on products, view products in different settings, customize products, etc. Some of the major eCommerce platforms have started to integrate this technology into their platforms and we can soon witness a great leap in its usage and adoption.
Conclusion
Online shopping has become very popular globally. It is time that entrepreneurs improvise the shopping experience with the best web app development practices. AI is changing the world around us with unprecedented advancements and these trends are set to shape the eCommerce market in this decade.
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