It is very common for customers to abandon shopping experiences because the product results shown are irrelevant. Many e-commerce platforms are trying to enhance the part AI plays in searches to the extent, where the e-commerce search engines should be thinking the way humans do. Now that there are multiple platforms in the market and the race is to be better than your competition. The search results need to narrow, contextualise and ultimately improve the outcome. Lately, plenty of search results are increasing their visual elements. The basic idea is to configure AI and machine learning in such a way that it starts contemplating as you do. The leveraging of machine learning and AI to automatically prioritize and label content based on the features of the image or description. These labels can also be modified to read and use assets like keyword tags.
Technologies like AI are giving the e-commerce business a competitive edge and it is at the dispersal of developers and businesses of smaller and larger magnitude. The most common visual recognition platform is Google Lens, where you can take an image and find similar results. One of the latest examples of visual recognition is also used by Pinterest. You can select any image and then ask Pinterest to show you similar results. The image recognition helps its AI to configure and procure similar images. The shopping experiences are becoming more refined, the shoppers are rapidly saying bye to impulse control as the innovative visual search capabilities are motivating them to search more.
Ai is helping shoppers to find complementary products regardless of size, shape, material, color and even brand. The capabilities of these softwares is astounding. These softwares collect visual imagery from the uploaded product and collect visual cues to find products that match. AI provides an ease to a level where the shoppers don’t have to search for their desired products specifically. The top results for their past searches and habits accumulate to provide a logical list that matches their search history and product search. For example, if you like a pair of shoes on someone, and you have a visual, you can easily search with the AI, as it enables you to find similar items through online/e-commerce stores.
With the dawn of the new shopping era, the expectations of shoppers is increasing by the hour. They want the time between demand and supply to be minimized. It is becoming more and more difficult to satisfy customers without compromising on quality.
In India, many big names such as Flipkart are also experimenting with AI and machine learning. They are navigating through qualities of catalog, size recommendations, and even avoiding fraud orders. The recommendation algorithm has to work like the best salesman in the company i.e. the one who is great at upselling. The buyer’s behavior is playing a major role in these search results. These outcomes are helping to elevate the customer experience which can help in increasing sales. There are also options to compare prices, features, and descriptions. These comparison helps you to put together all the product variants you are interested in and choose the best option.
With endless categories on e-commerce websites, it becomes a tad bit difficult for any business to keep an eye on the live inventory. AI is changing the ways of inventory management. You can easily understand it this way, as soon as the last item is purchased, the system deems it out of stock. With the help of AI, organizations can keep a track of all the orders, it can help in managing the inventory in warehouses and ensure that the organization has enough stock, particularly in the cases of products which are in high demand.
Security has always been a concern while shopping online. Many customers fear that their data can be misused. The importance of cyber-security in the e-commerce industry is the need of the hour. AI is helping to a great extent by identifying red flags and eliminating the chances of fraud.
AI is being used by various e-commerce platforms like Amazon, Flipkart and Taglr in the form of the chatbox, inventory management, behavioral insights, strategizing and contextual messaging. We at Taglr firmly believe that AI and machine learning will bring a great difference in profits and growth. We are excited to see how the Indian e-commerce platforms will be procuring new techniques to incorporate AI and make it a part of their business.