According to a modern study, a majority of shoppers prefer online shopping over the traditional in-store shopping. The number of businesses lured into the modern e-commerce market is constantly on the rise.
However, with the constantly increasing number of businesses, the competition is growing fast as well. So, to survive in this cut-throat competition, businesses need to step up their game in every department to offer a seamless shopping experience to the customers. Technology, being at the forefront of it all.
Technology has had a huge impact on the retail market. Be it the way, the customers interact with the retailers or the way the retailers build their brand, everything has been revolutionized by the emergence of retail technology. In this post, we will take a quick look at some of the key areas where the emergence of retail technology is changing the traditional shopping:
The Rise Of Smartphone Shopping
Smartphones have taken over. Not in a Terminator-esque sense, but pretty much in every other sense. A majority of modern shoppers use a smartphone for their shopping needs. While some of them buy directly from their favourite e-commerce website, a majority of them prefer doing a thorough online search before making the purchase. Some of them even search the local retailers and do not restrict their hunt for the perfect product to the online market alone.
The smartphones have become the primary mode of engagement between the brands and the customers. From reading reviews and ratings to searching for the product at the best available price, pretty much everything takes place on the smartphone screens. This is why it’s very crucial for the advertisers and marketers to offer attractive prices and engaging content for their brands. In order to thrive in the modern market, it’s very important that the brands offer a pleasing, updated, and convenient mobile experience for the shoppers.
Efficient Use Of Analytics
In our previous post, we saw how machine learning applications are changing the modern e-commerce world. One area where the implementation of machine learning applications has created serious impact is the mobile world. With the growing comfort level of shoppers with online shopping, the use of customer behavioural analytics, web analytics, and the sheer amount of data accumulation that comes with every purchase makes it easier for the marketers to use machine learning to put all that analytics to work.
Shoppers like to do extensive research on products, sellers, and services on offer before assigning their loyalty to an e-retail store or a brand. Business can use the rich data based on the customer’s shopping trends to engage with them and accordingly carry out relevant advertising, marketing, and other strategic decisions to capture them.
However, not every business in the market is technologically equipped to use the behavioural analytics for their business gains. This is where online product discovery platforms like Taglr play a vital role. Taglr offers rich behavioural analytics to the advertisers on its platform to help them create engaging content for the potential customers and use them for their business gains.
Dynamic Pricing Strategy
The modern retail market is highly price-sensitive, whereby even the slightest change in pricing can significantly boost the chances of a retailer attracting the shoppers as opposed to its counterparts. In such competitive market, the dynamic pricing strategy by the e-retailers could give them a slight edge over the e-tailers going by the traditional pricing route. To help you understand, dynamic pricing strategy allows the retailers to change the pricing of their products based on the market trend, the inventory, or the sales targets.
As soon as the retailer identifies a fast-moving product, she can decide to inflate the price to avoid stock depletion or vice versa. In a similar way, in order to meet the sales targets, the retailer might also choose to lower the prices of their products.
By using dynamic pricing strategy, the retailers can also keep a tap on the pricing strategy of their competitors to make beneficial pricing decisions. For example, when a competitor is running low on the stock of certain products, they can choose to increase the price and attract better sales and profit margins.
The best implementation of dynamic price strategy is the real-time price updating, which a lot of e-commerce stores use to capture as many customers as they can. But nowadays a lot of small and medium-sized enterprises have also started adopting the strategy.
Managing customer interaction is the biggest challenge that the modern e-commerce firms face. And this is where Artificial Intelligence comes into the picture.
Artificial Intelligence can be employed to handle customer interaction in a much more efficient manner through chatbots or automated response to make sure the customer interaction is a lot more personalized, efficient, and effective.
At the same time, AI can also be used to handle huge chunks of data to analyze the customer behaviour, market trends and the factors influencing the customer behaviour. This not only makes online shopping a lot more personalized and safe as well.
One fine example of this is Amazon’s virtual assistant, Alexa, which helps the retailers to offer better suggestions to their customers to help them boost their sales. Some of the areas where artificial intelligence has helped the retailers include product recommendations, post-sales support, and helping the customer make a purchase faster.
To sum it all, retail technology and its evolution will continue to revolutionize online shopping, which will enable modern businesses to innovative ways of customer engagement. In coming days, it will be the differentiating factor between the leaders and laggards in the world of retail. ')}