Recent Posts by Nisha Shoukath

No matter what types of products you sell, staying competitive in e-commerce requires constant attention across multiple departments. Sales teams need to know product details, marketing teams must be mindful of popular search terms, product teams must stay on top of trends, and IT teams are responsible for making sure the site is always functional and fast. All of this will always require a certain degree of time and skill, but some tasks, especially the most repetitive ones, can be better handled with machine learning. 

You can do a lot in the back end of a website to make it easier for customers to find products that will interest them. Manually tagging photos, putting products in multiple categories, and adding suggested alternatives are a few of the most common methods for enhancing the buyer’s experience on an e-commerce site. However, this approach has certain limitations, especially for e-commerce businesses that have large inventories or product selections that are continually updated by multiple users.

With the increased demand in the market for goods and services, the manufacturing industry is pressurized to produce and supply mass production. This has demanded industries to speed up the manufacturing process and deliver standard quality goods buy-able to customers.

There was an experiment conducted in 2017 in London, with 100 lawyers participating in the event. The experiment involved finding accuracy in credit card irregularities in applications sent to the Finance Ombudsman. Where lawyers predicted an accuracy of 66.3%, a trained AI program achieved the accuracy of 86.6%.

Imagine a lawyer doing research for a case. Where humans may take weeks or even months to complete a particular research, AI will complete the research and provide results in a matter of seconds. Here, Artificial Intelligence will be able to perform better than experienced lawyers. 

Agriculture is how humans started to mold nature according to their needs. Humanity may have come a long way since then, changing the ways and methods of farming, but the basic objective remains the same; improving the quality of crops.

Just a few decades ago, workplace safety in manufacturing used to be an afterthought. Workers in the manufacturing industry may recall many near-miss accidents that have occurred, especially related to heavy equipment and lack of safety controls. 

Image recognition, machine learning and visual search have changed the way we interact with the world. This latest development in machine learning has transformed the e-commerce industry. Automated tagging of images play a crucial role in visual search. In an age of instant gratification, consumers follow the snap, find, and shop technique. The user clicks a product picture, finds a similar item on an app, and purchases it. Discovering products becomes much easier using tagged images rather than text-based keywords.

From fashion to farming, every industry must adapt and reinvent. Businesses must make sure that they make the necessary changes to remain relevant. Thus, the need to apply Artificial Intelligence in daily processes becomes a necessity.

The shift in consumer preferences and technological advancements is transforming the way people shop online. E-commerce businesses are using artificial intelligence to win over customer trust and loyalty through effective personalization. When there are plenty of products on offer, it’s highly important to showcase the right product to the right consumer.

As an e-commerce platform, don’t you feel your customers are spoilt for choice? Whether it be groceries, accessories, home decor, or anything under the sun, consumers are exposed to unlimited options. This makes the decision-making process relatively more complex. So how can you make your customer’s life easy? Of course, through AI-powered product recommendations, so that they finalize what to buy based on ‘what’s trending’, ‘‘top sellers’, etc.