E-commerce today has drastically improved with safer online transactions, superior user experience, faster check-outs, etc. Witch such rapid advancements, online shopping continues to gain tremendous popularity amongst the masses and is creating new opportunities for both, established online retailers and upcoming startups. And Big Data, Artificial Intelligence, and Predictive Analysis have made significant contributions in this field of e-commerce, enabling brands to take their services a notch higher.So let’s understand how Big Data, AI, and Predictive Analysis have significantly transformed the e-commerce domain:-
Table of Contents
The search function is one of the essential areas through which customers interact with an e-commerce site. If their site search is made more predictive by anticipating what they are looking for, customers are more likely to make a purchase. Predictive analysis e-commerce is capable of evaluating customers’ purchase history, preferences, click-through, behaviours, etc, in real-time. Offering such continuous analysis, allows websites to offer relevant items to the customers, thereby making their search experience more personalized and effortless.
Online data and security breaches are rising at a concerning rate, which is one of the primary reasons that keep people from using online stores. However, the potential of Big Data has extended a strong solution to these security issues. Big Data plays a huge role in identifying and controlling possible risk factors. Amalgamating and tallying valuable information via geodata, social feeds and live transactions, Big Data solutions are capable of preventing identity breaches and payment frauds in real-time.
AI uses natural language processing to narrow, contextualize, and enhance search results for shoppers. It enables visual search capabilities, where customers can take pictures of the product they are looking for, upload it and then find similar items on the specific online store. By extending such personalized services, AI has allowed e-commerce platforms to improve their search capabilities and ensure customer retention.
AI help in analyzing and improving the sales cycle by identifying pitfalls in the existing sales processes and creating strong sales proposals that reach the consumers in real-time. Additionally, AI e-commerce also enables website owners to integrate chatbots that allow them to communicate with their customers more efficiently. It enables the e-commerce site to provide quick and customized answers to customer queries, solve their issues and even identify new leads.
Customers today read online reviews before making a purchase decision. Big Data e-commerce collects these customer viewpoints and helps websites understand what is working. These feedbacks provide them with opportunities to improve their products and services. It also provides them insights into customer expectations, thereby aiding platforms to predict future trends and make necessary modifications.
Fake reviews have become a serious hurdle for online retailers. E-commerce websites today are harnessing artificial intelligence to combat fake product reviews by putting more emphasis on verified and helpful reviews. AI in e-commerce focuses on verified customer purchase reviews and boosts them. It also prioritizes the reviews that are marked ‘helpful’ by other customers.
From allowing improved and predictive customer experiences to providing new sales opportunities, the potential of Big Data, Predictive Analysis and AI have assisted the growth of the e-commerce industry in many significant ways. These technologies streamline many complex processes including sales management, customer management, risk management, etc., allowing e-commerce platforms to extend customized, secure, and efficient online shopping experiences.
