Flipkart + Databox Integrations

Flipkart?

Flipkart is an Indian e-commerce company founded in October 2007 by Sachin Bansal and Binny Bansal (unrelated. The company initially focused on books, but has since diversified to sell music, movies, games and other products. In July 2012, Flipkart announced a partnership with Myntra, India's leading fashion retailer, allowing its users to purchase products from Myntra through Flipkart's website. After the deal was finalized, Flipkart and Myntra became subsidiaries of a single parent company, named Flipkart Pvt. Ltd. In May 2015, Flipkart funded Parenting Network Tinystep.com. Infibeam Incorporation Limited is an Indian e-commerce company based in Chennai, India. It was founded in 2009 by Vishal Mehta, Ashish Dhawan, Raju Reddy, Dheeraj Jain & Amarpreet Singh. On 15 September 2014, it was reported that Infibeam had raised $50 million from Singaporean sovereign wealth fund GIC (Government of Singapore Investment Corporation), at a valuation of about $500 million. Its main competitors are Amazon India and Snapdeal. In 2015, it generated revenues of INR 2,000 crore. Databox is an e-commerce analytics platform which helps online retailers increase revenue by making product recommendations and optimizing prices. It provides a suite of features that allows businesses to optimize their pricing strategies and merchandising strategies using machine learning algorithms and predictive modeling. These features include dynamic pricing engine, price optimization spution, product recommendations engine and a marketplaces module.

Databox?

Databox is an e-commerce analytics platform which helps online retailers increase revenue by making product recommendations and optimizing prices. It provides a suite of features that allows businesses to optimize their pricing strategies and merchandising strategies using machine learning algorithms and predictive modeling. These features include dynamic pricing engine, price optimization spution, product recommendations engine and a marketplaces module. There are three ways that Databox helps you maximize your revenue. 1. Dynamic Pricing Engine - this feature allows you to make your prices intelligent using machine learning algorithms which learn from historical data and predict what your competitors will do next. This feature also lets you set rules for each product individually so that you can tweak those prices according to the item’s sales history and seasonality; 2. Price Optimization Spution - this feature uses machine learning algorithms to find the optimal price point for each product in your catalog. It does so by analyzing the characteristics of your catalog and includes over 150 different variables, such as competitor pricing, demand vpume and sales history; 3. Product Recommendations Engine - this feature allows you to optimize your product recommendations based on how buyers behave when they shop on your store. Using machine learning algorithms and predictive modeling, the algorithm predicts what a buyer will search for when they shop on your store and recommends products accordingly based on those predictions.

Integration of Flipkart and Databox

Flipkart is one of the prominent Indian online retail companies with more than 70 million registered users. However, it has not been able to effectively gain customers and their trust because of its lack of transparency in business practices and unfair treatment of customers. For example, the customer service model is substandard where not only there are long queues in front of the customer service center but also customer service executives are not able to handle the customer requests efficiently due to the large number of customers waiting in line. Hence, customers feel neglected and have no trust on Flipkart's services which results in a loss of customers. To counter this issue Flipkart created a chatbot with the help of Databox’s platform which aims to spve this problem by providing more personalized services to customers. It also provides individualized offers like discounts for consumers based on their preferences which increases customer satisfaction rates. Hence integrating Databox’s platform into Flipkart’s system has benefited Flipkart by improving its customer support services. Furthermore, integrating Databox’s platform also helped Flipkart gain more customers in India by providing them the facilities they want like personalization in offers. All these have led to an increase in Flipkart’s revenue and customer satisfaction rates as well as increased its market share in the e-commerce industry in India which ultimately helped Flipkart become the most popular e-commerce brand in India(as per http://www.sap-pressroom.com/en/pressreleases/2015/02/flipkart-ranks-first-in-2014-e-commerce-research. Hence it can be concluded that integrating Databox’s platform into Flipkart’s system has greatly helped it improve its services and business strategies thereby increasing its market share in the e-commerce industry in India.

Benefits of Integration of Flipkart and Databox

Integration of Databox’s platform into Flipkart’s system has benefited Flipkart by improving its customer support services .It provides individualized offers like discounts for consumers based on their preferences which increases customer satisfaction rates .Integrating Databox’s platform also helped Flipkart gain more customers in India by providing them the facilities they want like personalization in offers .All these have led to an increase in Flipkart’s revenue and customer satisfaction rates as well as increased its market share in the e-commerce industry in India which ultimately helped Flipkart become the most popular e-commerce brand in India .Thus it can be concluded that integrating Databox’s platform into Flipkart’s system has greatly helped it improve its services and business strategies thereby increasing its market share in the e-commerce industry in India .

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