The Future of eCommerce Search with Constructor

How AI is transforming eCommerce search

Artificial Intelligence (AI) is revolutionising the way we shop online. With AI, eCommerce platforms can now offer personalised search results, making it easier for customers to find what they need. According to a report by McKinsey, companies that use AI in their operations see a 20% increase in customer satisfaction. This is because AI can analyse vast amounts of data to understand customer preferences and behaviour.

Here at iWeb, our expert solution architects are leveraging AI to enhance eCommerce search capabilities. By integrating AI-driven tools like Constructor, we can provide more accurate and relevant search results. This not only improves the customer experience but also boosts conversion rates. For instance, a study by Adobe Commerce found that personalised search results can increase conversion rates by up to 30%.

The role of machine learning in product discovery

Machine learning is another key player in the future of eCommerce search. It allows systems to learn from data and improve over time without human intervention. This means that the more data the system processes, the better it becomes at predicting what customers want. According to Gartner, by 2025, 80% of customer interactions will be managed by AI and machine learning.

Our talented team at iWeb is at the forefront of this technology. We use machine learning algorithms to analyse customer data and provide personalised product recommendations. This not only helps customers find products they are interested in but also increases the likelihood of a purchase. For example, a client using our machine learning solutions saw a 25% increase in sales within the first three months.

Personalisation: The key to customer satisfaction

Personalisation is no longer a luxury; it’s a necessity. Customers expect personalised experiences when they shop online. A study by Epsilon found that 80% of consumers are more likely to make a purchase when brands offer personalised experiences. This is where Constructor’s advanced personalisation features come into play.

iWeb’s 29 years of e-commerce experience have taught us the importance of personalisation. By using Constructor’s AI-driven personalisation tools, we can tailor the shopping experience to each individual customer. This includes personalised product recommendations, search results, and even marketing messages. Our clients have reported significant improvements in customer satisfaction and loyalty as a result.

Enhancing search accuracy with natural language processing

Natural Language Processing (NLP) is a branch of AI that focuses on the interaction between computers and humans through natural language. In the context of eCommerce, NLP can be used to improve search accuracy by understanding the intent behind a customer’s search query. According to a report by Forrester, companies that use NLP in their search engines see a 15% increase in search accuracy.

Our talented UK team at iWeb are experts in implementing NLP solutions. By integrating NLP with Constructor, we can provide more accurate and relevant search results. This not only improves the customer experience but also reduces the number of search queries that return no results. For example, a client using our NLP solutions saw a 20% reduction in zero-result searches.

Integrating voice search for a seamless shopping experience

Voice search is becoming increasingly popular, with more and more consumers using voice assistants like Alexa and Google Assistant to shop online. According to a report by OC&C Strategy Consultants, voice commerce is expected to reach £40 billion by 2022. This presents a huge opportunity for eCommerce businesses to enhance their search capabilities.

iWeb – an enterprise e-commerce agency, is at the cutting edge of voice search technology. By integrating voice search with Constructor, we can provide a seamless shopping experience for our clients’ customers. This includes voice-activated product searches, personalised recommendations, and even voice-activated checkout. Our clients have reported significant improvements in customer engagement and satisfaction as a result.

Leveraging data analytics for better search insights

Data analytics is crucial for understanding customer behaviour and improving search capabilities. By analysing search data, eCommerce businesses can gain valuable insights into what customers are looking for and how they are searching for it. According to a report by McKinsey, companies that use data analytics see a 10% increase in sales.

Our expert solution architects at iWeb use advanced data analytics tools to analyse search data and provide actionable insights. By integrating these tools with Constructor, we can help our clients improve their search capabilities and provide a better shopping experience for their customers. For example, a client using our data analytics solutions saw a 15% increase in search accuracy and a 10% increase in sales.

The impact of mobile search on eCommerce

Mobile search is becoming increasingly important as more and more consumers use their smartphones to shop online. According to a report by Statista, mobile commerce is expected to account for 72.9% of all eCommerce sales by 2021. This means that eCommerce businesses need to optimise their search capabilities for mobile devices.

iWeb’s e-commerce expertise includes optimising search capabilities for mobile devices. By integrating Constructor with mobile-friendly search features, we can provide a seamless shopping experience for our clients’ customers. This includes mobile-optimised search results, personalised recommendations, and even mobile-optimised checkout. Our clients have reported significant improvements in mobile engagement and sales as a result.

Future trends in eCommerce search

The future of eCommerce search is bright, with many exciting trends on the horizon. One of the most promising trends is the use of AI and machine learning to provide even more personalised and accurate search results. According to a report by Gartner, AI will be a key driver of eCommerce growth in the coming years.

Another exciting trend is the use of voice search and natural language processing to provide a more seamless and intuitive shopping experience. As more and more consumers use voice assistants to shop online, eCommerce businesses will need to adapt their search capabilities to meet this demand.

Here at iWeb, we are committed to staying at the forefront of these trends. Our talented team is constantly exploring new technologies and solutions to enhance eCommerce search capabilities. By partnering with Constructor, we can provide our clients with the most advanced and innovative search solutions on the market.

To learn more about how we can help you enhance your eCommerce search capabilities, contact iWeb today. Our expert solution architects are ready to help you take your digital transformation to the next level. Reach out to iWeb today and discover how we can help you achieve your eCommerce goals.