Data Processed Annually
"Our interaction with the team at Qwentic has been a postive one. We are highly impressed by their timely delivery of project and well written code"
Client has seen a surge in customer satisfaction and an increase in sale by 15%
Retail Analytics is a growing industry as retail businesses are fast realising the need of Retail Data Analytics. Retailers who use retail analytics solutions achieve 73% higher sales than those who have never done it. Retailers are opting for Retail Analytics solutions to study customer behaviour and thereby increase profitability and sales.
Client is looking for a Big Data analytics solution that will help them solve the following problems:
Cannot predict customer preference accurately, which
determine highest price a customer will
pay, due to which profit gets
promotions leads to
Poor Price management limits revenue earned.
The client loses
huge sums to
Due to Lack of
Business intelligence the company cannot make informed decisions.
We developed a Big Data analytics platform using Golang, Python , and Hadoop to pull data from TeraData. The Platform can produce Retail Analytics based on Historical Data, and at the same time, it offers Predictive Analytics based on Hadoop Data storage. The client has a Data volume turnover of 900GB annually.
This Data is in the form of Structured as well as Semi-structured Data which is sourced from Products, Customers, Departments, Orders, Transaction, Purchase History, and much more.
Our Retail Analytics solutions collects, stores and analyses data collected from Client Database Server by scheduling job to pull relevant data.
Deciphering this massive amount of data the platform can determine:
This Retail analytics platform has a great advantage in dynamic pricing as it responds to the competitive market rapidly by changing the prices of its products every 2 minutes (if required). This gives the client an edge over competetion. As a result profits improve.Clickstream Analysis
Click Stream analysis defines the pages the visitor visits on a website. Further it tracks the path visitor takes to reach to the final page to make a purchase. This helps businesses to reduce the steps and enhance usability. Enhanced usability results in minimizing the customer drop-outs.
Customer sentiment analysis helps business owners knowing the positive and negative feedbacks of the customers using their products. These feedbacks are captured from social media and gives business owners the insights of any difficulties of customers.360° Customer Analysis
Customer Satisfaction is the key for retailers to boost their sales. Our Retail analytics solutions assist retailers in analysing the consolidated data captured from POS, online transactions, social media awareness and customer service centers.
The Big Data/ Retail Analytics platform thus provides the Client with crucial information. This prediction aids them in taking accurate actions to avoid frauds.
The client can use predictive analytics to get an insight into expected responses of marketing campaigns and then accordingly choose from given options.
The cluster for creating this platform includes:
Our Retail Analytics solutions can be customised to suit your specific business needs. Drop us a message to allow us to guide you through the benefits of Retail Analytics.
The big data analytics solution provides real time analytics about which energy consumption source...Read the case study
Qwentic is a leading technology consulting company, engaged in offering end to end consulting services. We are technology consulting partners to several leading businesses across a diverse range of industries spanning Logistics, Healthcare, Advertisement, and E-learningRead More
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