How Big Data is Revolutionizing E-Commerce Industry

Data is everywhere- good, but is it real? No, i don’t think so. Especially when we are talking about an e-commerce website which generated millions of terabytes of information in the form of order management, selling, buying, payments, users data, shipping data, warehousing details etc. Statista survey revealed that 40 percent of the internet users across the globe have already made online purchases up to yet. Dealing with this much of information was challenging for organizations till the big data analysis was introduced to the digital world. The useful insights from processed data maked people understand the value of data. Currently, large giants to small online busineeses including startups are leveraging this technology to organize their business. Let’s explore where and how an e-commerce industry is using this technology:

Fraud Detection and Mitigation:

 The journey of an e-commerce platform is associated with various obstacles in its path. It may be a cyber attack, fraudulent transactions, consumer-related fraud, data leaks etc. The big data analytics can analyse the anomalies in activities like transactions, fake orders, frequent card frauds locations, coupons etc. These sensitive information allows organisations to estimate risk and take control over such scenarios reducing loss factor from business.

Intelligent Selling :

The platforms like Amazon decides cost reduction, pricing, featuring like attributes to pace up their selling in digital world. Their recommendation engine help users to buy needed items. They do because big data allows them to do. Big data means huge data but it doesn’t implies that healthy and pure data. Performing further analysis with Spark or Hadoop like framework is necessary to find the truth. Companies are stuck in finding ways to get valuable insights- whether they hire or educate their employees. Hadoop Training is one effective solution to get in depth details of data analysis such as data collection to clustering.

Customer Behaviour:

Big data is very effective in collecting customer behaviour. The data from their online shopping can be analysed to identify the latest trends. It will make you understand that which product is more popular among customers and when is the best time your business face the increased demand. Thus, you can develop effective strategies.

The analytics on e-commerce platform will tell you which product is attracting the highest traffic and which one is out of stock counting the skipped opportunities.

Analysing buyers pattern is nothing new. Walmart, an e-commerce giant analyse shoppers preference to create an enhanced shopping experience. They use analytics to manage users’ need and personalised suitable deals for the consumer.

Predicting Trends:

Introducing trending features to an e-commerce will boost its performance attracting more visitors to it. The big data analytics allows a company to collect and analyse data from the social media platforms elaborating the likes, dislikes, mostly selected items and feedback from the people. Thus, the company can align its products demand and supply according to the latest trends marking a powerful presence among competitors.

Optimizing Customer Service:

Providing a good customer service is the best way to convert your customer into a promoter. The retail industry relies on the long term customer relationship where customer satisfaction and retention is necessary. Implementing a full proofed customer service strategy in a companies environment can not be successfully accomplished without big data analytics. Big data optimises the customer service providing them an improved service experience.

Logistics :

Big data analytics is playing a crucial role in managing the supply and distribution of an ecommerce organisation. Managing inventory is challenging for the retailers selling their products online. In case of bulk order quantity, sometimes companies delay their work or miss those opportunities. Their are also risks associated with maintaining extra stock, as sometimes they’re not able to sell it under time and face loss. Thanks to technology for providing predictive analysis like efforts which are very helpful in managing supply chain eliminating obstacles from the path of success. It inform organisation about the rise and fall in the product demand and identifying the shortest route for delivery.

Thus, we can feel the power of processed data in the billions flowing over the internet. Its voice is soaring across the powerful innovations like recommendation engine, personalized shopping experience, automated chatbots, prediction analysis etc., driving the soul of an e-commerce industry.