How Data Science, Machine Learning And Artificial Intelligence Is Boosting Online Diwali Sales

It’s the hour now! With the festive time of the year, everyone is going crazy about the mind-blowing sales going on in Flipkart Big Billion Day and Amazon India Great India Festival Sale.

Diwali is celebrated to mark the triumph of Lord Rama over Ravana or the triumph of good over evil. However, for businesses in India, Diwali is the go-to make money festival. It is known as the big Indian Festive Season with eye-popping deals on from apparel, add-ons, shoes, consumer electronics, home appliances, furniture and also traveling.

But did we ever imagined, how these e-commerce companies have prepared for these big sale days or how their courier partners are ensuring that last-mile delivery to the customers?

 

Usage of Data Science, Artificial Intelligence and Robots in E-commerce

Usage of data science, AI and Robots in e-commerce warehouses and delivery are no more secret now. The e-commerce giant Amazon already launched robots in its warehouses 5 years back in 2014. These robots do most of the tasks, from sorting to picking and stacking. The company has used more than one lakh robots, mainly in the US. These great selections of Amazon’s robots are developed by a US firm known as Kiva Systems. Amazon later on funded and acquired this company. They further name it as Amazon Robotics.

In India, collaborative robots known as Cobots are increasing as automating tasks are human-intensive, tedious, and repetitive. Globally, the amount of these Cobots – don’t involve higher levels of robotics understanding and therefore are simple enough to work together. The motion of the Cobots is similar to an automatic traffic management process and is handled by machine learning algorithms.

Analytics can assist in developing a proactive approach for suggestions based on statistical association evaluation, time spent on site, cookies behavior and method of accessing site rather than merely providing a flat discount.

E-commerce companies are also using AI to detect and eliminate frauds on their platform. To identify and protect against fraud, many e-commerce companies are deploying AI models that are always vetting fraudulent accounts that only signed up to make the most of promo codes, or perhaps bring cash out of stolen credit cards. The fraud detection engine leaves very little space for human mistakes and speeds up the task.

On the seller edge, also, machine learning can help flag sellers that would probably begin booking the own items of theirs, as well as take the money back, to create their product demand appear higher than it is.

Let’s check it out the most popular sales that are going around and how these companies are using data science and artificial intelligence to bring cheers to the customer and their partners.

 

Flipkart Big Billion Day

Flipkart started their year’s biggest ever sale on Saturday at 8 pm for their Flipkart Plus customers and opened the same sale at midnight for all the other customers.

Flipkart said it was an “extraordinary” sales phase for the company. “We have much more than doubled our transactions, customers through tier II, III towns were the biggest chunk of buyers. We feel we’re closing the 6 days or weeks (of sales) with 775 % of the festive sector share. New consumer development is almost 60%,” Kalyan Krishnamurthy, Flipkart Group, CEO, said over a telephone call. He, nonetheless, didn’t divulge the volume or even value of the transactions.

He claimed that they clocked seventy billion views during the 6 days big billion sales.

Ahead of this festive sale, Flipkart employed 340 little orange cuboids as robots to its current fleet of 110, they call them bots or perhaps automated guided vehicles (AGVs), those transfer products within a fenced location bereft of humans. These robots are carrying anything with them, from publications to appliances to mobile phones. Pranav Saxena, Head of Robotics at Flipkart further added that they’re ramping it up to 3 to 4 times.

Flipkart has already designed its app home screen that is personalized to each of its more than 120 million customers. They have deployed machine learning models and algorithms on various customer data points like customer location, customer language, customer gender, price, affinity to a store or brand. Further data points include the purchasing frequency, purchase volume, price group and more.

These data points help Flipkart make predictions even without the customer being on their platform or customers searching for a specific product. They are also using machine learning to predict that if a customer is going to return a particular product.

A group of twenty-five data scientists at India’s biggest domestic e e-commerce player will also be using AI to research past buyer behavior to anticipate their upcoming purchases.

 

Amazon Great India Festival Sale

Amazon India started their year’s biggest ever sale on Saturday Noon for their Amazon Prime customers and opened the same sale at midnight for all the other customers.

Amazon.in claimed it noticed its most significant Great Indian Festival with smartphones, as well as fashion, raising 5-fold and 15-fold, respectively. The larger appliances category grew 8 times and almost half the product sales came from lower-tier urban areas. Amazon India owned Echo products saw a record 70 fold increase in sales and that could be declared as probably the biggest sale ever for Amazon units in India.

As per a report by rating and research agency Neilson, Amazon India has the highest share of online purchase transactions, order share as well as the market share across all marketplaces in India. It’d a value share of 46%, a purchase share of 42% along with a transacting pc user share of fifty %. The figures for Flipkart Group, including Jabong and Myntra, were 46%, 38% as well as 37%, respectively.

Amazon used better campaign analytics for messages, other channels, and phones for outreach marketing. The campaign analytics assisted with early warning signs and produced triggers for spotting exciting clusters of client behavior to simply click, convert as well as pay.

In the United States, Amazon.com is embracing artificial intelligence to transport items more quickly, improve its voice-activated Alexa assistant and build new resources offered to others through its cloud computing division, Chief Executive Officer Jeff Bezos stated in his yearly shareholder letter.

 

Shopclues End of Season Sale

Shopclues also marked the highest ever sale this season. They have vigorously used data science and artificial intelligence to boost sales and also assist there day to day operations.

Online marketplace Shop Clues needs to make use of machine learning to fix a pressing blind spot within e retail: sizing.

In the situation of small, un-organized makes, sizing varies and hardly ever matches the norms of larger, established brands. For example, a size compact in a single brand name might be an additional little in another. So, ShopClues plans to make use of advanced systems to allow it to be easier for buyers to search for the proper size when purchasing clothes via the internet, based on Utkarsh Biradar, vice president of merchandise at the business.

And so much, Shop Clues has been utilizing technology that is such to personalize the going shopping experience for buyers. Based on info such as the latest buys, the frequency of orders, along with other investing behavior, its algorithm tries to decipher what a consumer might be interested in shopping for next. The company additionally uses machine learning to recommend sellers on the best rate for the products of theirs, for example, or perhaps the cheapest logistics partner to utilize.

It’s evident that data science and artificial intelligence are the talks of the data for the e-commerce industry and Indian e-commerce majors are engrossing the benefits of AI right from customer segregation, sales, and delivery to after-sales and further recommending products to the customers. Amazon at present is making more than 40% of its sales via recommendation engine.

Anikesh is one of the brilliant editors we have in Analytics Jobs. Anikesh is a technology journalist and a techopedia who likes to communicate the latest trends around cutting-edge technologies in a way that is straightforward to assimilate.

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