The Trends in Ecommerce

Shoppers these days can buy anything from anywhere. Thanks to the ecommerce facility that has eliminated the barriers of time and distance. Undoubtedly, ecommerce has greatly reduced friction in the buying process by offering convenience and a compelling experience to both buyers and sellers. Amazon, Walmart, Flipkart and eBay are among the soundest companies that are relying on social media platforms to gain the attention of their target market. 

This article discusses some of the trends that will be shaping ecommerce in the coming years.

1. Prioritizing Personalization for Customers

Marketers have an in-depth understanding of their customers and they know that they demand products, services and experiences that are in line with their needs or preferences. Thus, companies are utilizing their customers’ data efficiently by tailoring it to an individual's needs. They are following a customer centric approach by going for personalized marketing campaigns, customization of products and through product recommendations. There will be more focus on personalization in the years ahead as technologies such as Artificial Intelligence will be upgraded with time. This will help companies to deliver highly focused experiences to individuals. 

2. The Use of Voice Powered Technology

Virtual Assistants such as Amazon Alexa, Apple Siri and Google Home have added a spark by making customer interaction with the ecommerce platforms more versatile. Customers don’t have to touch the screen for order placement or while searching for different items. This voice activation feature for online buying is still new and has a massive room for improvement.

3. Social Media Platforms for Marketing

In order to target new markets, attract more customers and to increase online selling, it has become inevitable for companies to rely on social media platforms. Facebook, Instagram, Snapchat and Pinterest are using shopping features through which their users can directly make a purchase with the help of their profiles. Businesses should come up with content that is both indulging and shareable so that their customers end up making a purchase. Augmented Reality (AR) and Virtual Reality VR) have provided an immersive shopping experience to customers. They can virtually try on clothes, makeup or accessories and even check and place furniture in their homes before making the final purchase. This can lead to a higher level of customer satisfaction and can further increase brand engagement. So, incorporating such technologies will benefit both the company and its customers.

4. Increase in Mobile Usage and Introduction of Chatbots

Mobile ecommerce is becoming more and more popular as a growing number of people are using mobile devices to browse and shop from different websites. So, companies should create mobile friendly apps and websites and focus on marketing strategies that are mobile specific. Almost every business that is operating online is using chatbots that are backed by Artificial Intelligence. This is a quick, personalized and efficient way to solve customer queries and reply to their frequently asked questions.

5. Socially Responsible Customers

Customers are well aware of the fact that their actions positively or negatively contribute to the environment so they look for brands that value sustainability or prioritize green marketing and take full responsibility for their actions. While managing their ecommerce platforms, businesses should also strictly adhere to strategies that minimize the environmental impact in the long run.

Leaping to conclusion, ecommerce businesses must embrace the latest technologies to better connect with their customers and to earn a name in the highly competitive industry.

 

 

Usefulness of NLP

Our social interaction would be nothing without language or communication. Whether we have to convey a written message or a verbal, express our feelings or emotions or even share information, we require a language that anyone can understand. Now, even computers are trained in a way that they can recognize the tone or translate a foreign language for us in a quick and efficient way. A technology and a subcategory of Artificial Intelligence (AI) known as the Natural Language Processing (NLP) allows computer systems to interpret and understand information or all the essential elements of a conversation just like we do. The NLP technology is used in several fields and provides fast and efficient customer service while cutting down cost. Let’s look at its usefulness in terms of data science.

1. Forecasting the spread of disease

NLP technology has served the healthcare sector by detecting illnesses and anticipating the spread of impending diseases. By decoding the speech patterns, it gives a clear knowledge to medical practitioners regarding illness related progression (e.g. post-traumatic stress disorder or depression etc.). This helps doctors to better understand their patients and their predicament.

2. E commerce

Competition is rising in e-commerce and companies must ponder over creative solutions to deal with the inefficiencies that occur while tending to their customers. They can use sentiment analysis tools to look for products that best satisfy their customer. Moreover, through the help of NLP they can go through the internet data to check their platform's performance. They can offer hyper personalized communication to their customers on the basis of social media listening.

3. Language translators

You can translate the online text in different languages and all this is not possible without the NLP tool. One example is Google translator that translates and converts pages into any language, eliminating the language barrier and offering cross cultural communication. One interesting thing to note is that, more than 100 billion words are translated into a number of different languages.

Natural Language Processing has spread out in almost every field we talk about. It provides users with accurate and comprehensive information, while also saving their time. Businesses are all set to invest in this technology so that they can keep their customers happy and increase their revenues. By incorporating this unique form of human and machine interaction in their systems and operations some of them have already enhanced their productivity.