Insights driven by Analytics

As the Retail sector witnesses data explosion, there is a growing need for deep insights into customer behavior and Analytics helps in doing just that. Leading industry analysts have suggested that those who use Analytics will outperform competition across practically every financial metric.

How Wipro Helps

Retail organizations today need insights into markets, customers and their own internal operations faster to capitalize on opportunities and to deliver sustainable business performance. We assure this by:

  • Going beyond customary approaches to Analytics to cope with high volumes, velocity and varieties of data
  • Leveraging a KPI backwards approach that allows analytical processes to be business relevant
  • Improving market share while reducing costs

We help you with Decisions Management driven by modern mathematical constructs, business rules, economics, domain knowledge, event analysis, behavior and sentiment analysis from disparate data sources. The end result helps reduce chaos and improve agility to build consumer loyalty and improve sales revenues.

Solution Components

You have areas of operation that require urgent attention such as trade promotion and management, marketing and demand forecasting. Our analytics solutions cover the following key retail areas:

  • Trade Promotion Management and optimization via Promax to help build price and promotion analysis
  • Demand forecasting and replenishment via Demand Signal Management (DSiM) to gather market and demand insights that enables decisive information foundation to create an agile real-time organization
  • Market mix optimization via ThinkVine's analytics to assess ROI on marketing spends
  • An end-to-end integrated digital marketing campaign management solution REACH that spans planning, conceptualization, execution and analysis by leveraging best practices
  • Insights in a box and precision retailing solutions that help you do one-on-one marketing and targeted campaigning. It also help with new product development by defining, profiling and targeting specific segments of shoppers, trips, stores and products. This improves customer satisfaction levels with the right products that helps transform retail marketing strategies
  • In the Big Data Analytics space, we combine Opera Solutions machine learning expertise to deliver pre-discovered predictive signals and algorithms. This, when combined with Global Delivery Models, helps create retail-specific solutions that also leverages Consumer Signal Hub and SignalSensor