Analytics

Many smart retailers have realized that retailing is not just about buying and selling, but about creating a compelling customer life time value by predicting the future buying behavior. It is critical for retailers to obtain insights to decide how much and what merchandize to stock, how to operate, and which customers to retain so that they can move ahead in the competition. Using the right analytics solution that helps capture data from business transactions, and then transform it into a comprehensive compass for guiding and driving your key business decisions is essential.

MphasiS Offerings

MphasiS offers a wide range of analytics services involving all aspects of customer buying, loyalty, and supply side analytics. Our solution is based on our domain capabilities and technically proven RUBIC (Re Usable Business Intelligence Components) framework. RUBIC shortens the time to market and enhances the quality, maintainability, and performance of solutions with reusable components of KPI catalogs, data models, and business scenarios which can be used on any existing BI platform. The analytics solution sets and data models have been built based on MphasiS experience in implementing complex DW/BI solutions for retail customers.

MphasiS offers robust analytic solutions in the areas of:

• Web analytics, providing an insight to retailers into what customers are talking about them on various social media platforms by mining thousands of lines of text data and determining patterns in them
• Market-basket analysis that establishes a correlation between seemingly varied products that a customer chooses
• Customer analytics, that helps mine transactions of customers and recognize their buying patterns
• Pricing analytics that helps companies understand the most attractive price for that customer.
• Forecasting to help retailers understand volumes likely to be sold and when. Analytics can help correlate sales figures with macroeconomic factors such as labor, stock market variation, employment data, weather conditions, currency fluctuation, oil market data, and so on.
• Supply chain and inventory optimization that helps retailers optimize their inventories; as this is particularly helpful for perishable or seasonal products.
• Promotion analytics that helps retailers understand the profitable promotional campaigns and aids them in designing future campaigns