Key Trends in Big Data for E-Commerce

Jan 18
Key Trends in Big Data for eCommerce

Collecting and analyzing data has always been part of businesses. The more data company has about its customers and its industry, the more effective it can be at forecasting and planning operations. The collection and management of big data make it progressively easier for companies to use detailed information about a variety of factors to see what is happening in an industry on a business-wide or industry-wide scale. It is a level of insight that companies could not imagine having even ten years ago. Using big data effectively gives businesses a major advantage in the market. This is why the common practices are always changing and evolving. In this article, we discuss the key trends in big data for e-commerce that your company should be aware of.

Personalized User Experiences (UX)

If successful corporate web developers begin to incorporate big data analytics in their design process, then this will provide insight into how people navigate the e-commerce sites they visit. By using data to prioritize search engine optimization, a company can understand which search engine terms people are most likely to use when searching for products or services similar to those offered by their competitors. By mapping user behavior across various platforms (smartphones, tablets, PCs, etc.) this information allows e-commerce companies to focus their SEO efforts on acquiring and nurturing customers who are most likely to purchase their products or services online.

Furthermore, this data can utilize artificial intelligence, to create personalized user experiences that better meet potential customers’ needs and use some of the information collected to create informed decisions about how to personalize the experience. For instance, customers that come from certain channels or use certain search terms have different needs than those who use other terms. Customizing the Product surveys recommendations and content that these users see can make a sale more likely.

Data-Driven Business Development

Big data for e-commerce includes anything from web analytics, market research, market analysis, customer interaction and behavior, and other sources of data that are analyzed in order to help companies make informed decisions based on real-time information from the consumers who buy their products. When this data is used to make important business development decisions, the approach is called data-driven business development. It can lead to smarter decisions made from evidence and data, as opposed to any single leader’s instincts.

A big data set that is available from various sources such as social networks, blogs, and online surveys, among others, allows businesses to get in tune with their target markets in real-time. This enables e-commerce businesses to develop tailor-made solutions to suit the preferences of their target customers, as well as provide a positive experience to those who shop on their websites. 

For example, if a company’s sales are affected by changing trends in the market, it will be easier to adjust its strategies accordingly. Similarly, trends can be identified that may have a negative impact on the company’s sales, and by observing trends and incorporating them into the strategy, businesses can develop effective methods of dealing with these trends in order to mitigate against them.

Price Management

Price management is a key for big and small businesses alike, as it is the process of setting prices to be both profitable and competitive for customers. It helps you cut down expenses by monitoring seasonal trends, assessing the demand in your industry, and forecasting the demand by assessing the competition. The major benefit is better forecasting and a greater understanding of the market trends. Price management tools help you control prices by providing information on demand, supply, and competition trends. They help you cut down costs and improve customer service.

Forecasting and Supply Chain Management

It is important that we understand supply chain management in order to better understand the dynamics of how the supply chain functions and have the ability to better forecast future demands and trends. It can help you to improve customer satisfaction, reduce customer turnover, improve return on investment, and increase profitability. You need to have the right amount of supply when it is necessary and nothing extra, as this can cause inventory excess that is difficult to sell without discounting on your e-commerce site.

Big data in e-commerce can be used to learn more about your company’s specific customers or about industry trends that impact your operations. By studying these trends, you can refine your business strategy by identifying opportunities to improve your overall marketing approach and develop new products or services that will appeal to a broader customer base.
Mastering the use of big data can be one of the biggest challenges that your company has to face, but doing so successfully can give your company the advantage that it needs to dominate in an industry.

At KitelyTech, our teams work alongside businesses to develop resources, management structures, and strategies needed to successfully handle large amounts of data. Call us at (800) 274 2908 to discuss how we can help you develop your big data management infrastructure.

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