There was a time when eCommerce used to called “teleshopping” where customers could shop through telephones. Since then, the eCommerce industry has seen tremendous growth. People discovered that they could shop from the comfort of their homes.
Now, fast forward to 2025: 2.77 billion people shop online daily, making it 33% of the world population! Today as more customers rely on eCommerce, managing their information becomes tough for B2B and B2C companies. Their social media activities, web browser history, and geolocation services are monitored closely.
But how do tech giants like Netflix and Amazon manage? They use big data eCommerce. Analyzing this information improves different aspects of their business. If you aren’t using big data in your eCommerce businesses, you ‘re missing out on a gold mine.
This article will cover how big data applications in eCommerce can help B2B and B2C businesses tap into their strengths.
Current State of Big Data eCommerce in 2025
Businesses across all domains have started recognizing big data as a technology that opens new frontiers for them. And eCommerce is no exception. Many of them have used eCommerce website development services to adopt this technology in their online retail store.
Today, big data in the ecommerce industry plays a key role. Here’s how –
Elevated Shopping Experience
Whether you’re a startup or an established company, you need data to fuel predictive analyt This helps you anticipate how your customers will behave in the future. Retail businesses can track clicks per page and the average time a user spends on a page.
Secure Online Payments
Customers take security seriously. Big data applications in ecommerce can alert businesses anytime a suspicious activity occurs like series of purchases from the same credit or debit card.
Dynamic Customer Service
They say that customer is king. Keeping them satisfied should be one of the priorities eCommerce businesses should follow. Big data ecommerce identifies the exact problem your customer face. It can help you improve those areas and offer exceptional customer service.
Generate Increased Sales
The use of big data in eCommerce helps in customizing recommendations based on customer preferences. It can help in generating high traffic results from customizing this experience, resulting in higher revenue.
Predict Trends and Demands
Customers demand change fast. To keep up, companies can use of big data in eCommerce to predict their demands, forecast trends, and manage their inventory accordingly.
How Big Data Can Affect B2B Companies
B2B eCommerce is undergoing a transformation in the eCommerce industry. Many of them are using eCommerce website development services, resulting in a better decision-making process. Here are 5 reasons why:
- Personalized Experience: By analyzing customers’ behavior and transaction history, B2B companies can provide customized experience.
- Website Optimization: Big data and eCommerce help refine the user experience by identifying pain points in the customer journey.
- Marketing Strategy: Thanks to predictive analytics, B2B companies can tweak their marketing campaigns to improve SEO, refine their PPC ads, and improve promotional offers.
- Inventory and Supply Chain Management: Big data eCommerce can help in monitoring and automating stock levels. As a result, stock shortages are prevented.
- Operational Efficiency: Procurement of items becomes easier when you share accurate data with your suppliers. It can help in reducing costs and improve the supply chain transparency.
How Big Data Can Help B2C Companies
Like B2B, a B2C company needs to get access to customer data. It’s common for them to partner with an eCommerce web development company to gain customer loyalty and gain higher revenue. Here are the top 5 major gains:
- Hyper Personalization: By using AI for recommendations, B2C companies can customize offers or discounts to their customers. This will depend on the customer’s browsing history and shopping preferences.
- Reduced Cart Abandonment: By retargeting campaigns, B2C companies can remind customers about their incomplete purchases. This can improve conversion rates.
- Excellent Customer Service: Predictive analysis can predict customer queries, helping B2C companies improve their customer service.
- Fraud Prevention: B2C companies can use machine learning algorithms to detect unusual activities and protect sensitive information from hackers.
- Inventory Management: Like B2B, B2C companies can also manage their inventories by using big data applications in ecommerce.
Real Life Examples: Companies that use Big Data
Now that we a thorough understanding of how big data eCommerce positively affect B2B and B2C companies, it’s time to look at real-life examples. Here are the top 3 –
Netflix and Big Data
As of 2025, Netflix has more than 301.6 million subscribers worldwide. Netflix collects these data to monitor customers’ online activity. They know which device is being used, when a show is paused, and when they watch a specific show.
By feeding all this information to their system, it helps the company to create customer user profiles and tailor the recommendations accordingly.
Amazon and Big Data
Like Netflix, Amazon also collects customer information to track what their registered users buy and how often they shop. Amazon takes it a step further by guessing the customers’ income by analyzing their billing address.
Thanks to predictive analysis, Amazon can recommend products based on their browsing history and suggest what to buy next.
McDonalds and Big Data
Apart from improving their services online, McDonalds takes it up a notch by offering good offline service with big data. By using the information on their mobile app, it allows them to offer customized discounts and improve their drive-through service.
Additionally, they’ve tweaked their online menu to offer different food items depending on factors like time of day and events happening nearby.
Wrapping Up
To sum up everything that we read, we know that big data and eCommerce go hand in hand. Big data has played a significant role for both B2B and B2C companies, from helping them gain revenue to personalizing their online shopping behavior.
No matter what your requirements might be, we at OrangeMantra provide eCommerce website development services that can cater to every type of retail company. Our developers are knowledgeable about the latest trends, helping businesses develop their online store.
Frequently Asked Questions (FAQs)
Q1. What is the next best thing in eCommerce?
Ans 1 – The future of eCommerce will be AI powered personalization. Businesses that taking advantage of this will see an edge over their competitors since customers crave for hyper personalization. Marketing campaigns also be tweaked based on the recommendations AI provides.
Q2. What is big data in eCommerce?
Ans 2 – Big data refers to large or diverse pieces of information. This dataset can grow rapidly with time and uses technologies like machine learning, predictive modeling, and other analytics tools to solve retail problems and make better decisions.
Q3. What are the challenges of big data in eCommerce?
Ans 3 – Some of the key challenges could include data privacy, requiring specialized skill sets, managing large amounts of data, and ensuring security. Although the benefits are immense, businesses should be aware of these limitations.
Q4. What are the 3 types of big data?
Ans 4 – They are unstructured, semi structured, and structured data. Structured data is highly organized, semi structured is partially organized, and unstructured data lacks the predefined structure.
Q5. How is big data collected?
Ans 5 – Companies collect data through various methods such as web scraping, social media, IoT Devices, and public records. They use advanced tools and technologies to process these data.