Retail Industry Analysis
Now a day’s huge amount of data is being captured at a rate never before seen in history of retail industry. The retailer’s goal is to translate that data into the meaningful insight so that they can make their decisions.
Data Analytics
Data Analytics is all about solving complex business problem and gaining useful insights from the data. Analytics is discovery and presentation of meaningful pattern in the data to help in scientific decision making. It is particularly useful in data rich industry like Banking, Insurance, Telecom, Market Research, and Healthcare.
Customer Segmentation
Customer segmentation or Market Segmentation helps a company to segment or divide its customers in different groups relevant to the business. The key to any Customer Segmentation is to divide the customers into groups based on prediction on their value to the company and target each group with different strategy to maximize the profit or ROI.
Inventory Management and Sales Forecast
In last couple of year our clients launched a number of products targeting different Consumer segments and geographies. Riding on the popularity of a couple of path breaking products, they have seen an unprecedented sales growth in last couple of years across the product.
Facebook Marketing Simulation Models
Our client, a rapidly growing online apparel retailer from UK has a single marketing Channel – Facebook. Riding on the popularity of a couple of path breaking products, they have seen an unprecedented sales growth in last couple of years.
Predictive Analytics for the Intelligent Customer Engagement Center
A Customer Engagement center is a central point from which all customer contacts, including voice calls, email, social media, faxes, letters, etc., of an enterprise are managed.