industry

Retail

Every retailer has their vision of integrated analytics and insights ecosystem to be successful. Very few are able to lead the pack in conceptualizing, designing and implementing them. Our offerings are designed to help retailers rethink, evolve and achieve their vision.

Our analytics help you to understand, predict and react to consumer behavior. We maximize the collaboration between data science and marketing/merchandising with cutting-edge solutions such as predictive analytics, self-service analytics and data visualization.

Customer Lifetime Value

Our Solution features are:

  • Quantify Future Value – Predict the future value of a customer – even before she becomes one. Focus on valuable customers and optimize your revenue stream
  • Increase Margins – Adjust individual marketing spend based on the financial value each customer
  • Segment by Value – Align your customer experience management system with various segments

Up-sell and Cross-sell

Our Solution features are:

  • Increase Revenue (Up-sell) – Maximize your income and drive more individual customer purchases by recommending complementary products
  • Increase Margins (Cross-Sell) – Drive customers to products that yield a higher profit and help retain customers longer.
  • Drive Loyalty – Provide customers with relevant and timely information to ensure they remain satisfied

Propensity Analysis

Our Solution features are:

  • Increase Conversion – Identify customers with a high probability to respond to a campaign, to purchase your product or services
  • Optimize Product Recommendation – Optimize targeting through biography and affinity-tailored recommendations
  • Support Strategic Planning – Understand the customer-product segment matrix and be supported in adjusting go-to-market strategies

Merchandising

Our Solution features are:

  • Assortment Optimization
  • Pricing Optimization
  • Pricing Comparison and Competitiveness
  • Abandoned cart analysis (for online stores)
  • Recommendations based on the user views or products
  • Placement and Design Optimization
  • Relationship between product categories and customer segments
  • Demographics/Interest analysis
  • Forecasting products/trending by product categories

Marketing

Our Solution features are:

  • Location based Marketing
  • In store behavior
  • Sentiment Analysis
  • RFM (Recency, Frequency, Monetary) Analysis and Promotions
  • Campaign (offers and discounts, promotions) effectiveness by geo-location, segments
  • Enhancing the multi-channel consumer experience

Featured Case Studies

Artificial Intelligence for Lending

How a global lending firm reduced operating costs & enterprise risk by using a single Artificial Intelligence based platform for various types of lending

Predictive Marketing Analytics

How a US based large education provider increased lead acquisition and conversion rate using Artificial Intelligence

Financial Fraud Analytics

How a global financial firm builds a strong fraud detection strategy to safeguard customers and reduce financial risk using financial fraud analytics

IoT Analytics

How a US based heavy equipment rentals agency improved equipment utilization and saved costs with predictive maintenance

Sales Forecasting

How a global E-commerce store achieved optimized pricing and identified candidates for various forecasting techniques using sales forecasting

Service Center Analytics

How a global BPO Improved customer retention by analyzing the customer interactions using machine learning and natural language processing techniques

Legacy Data Integration

How a U.S. based insurance company achieved 18% savings in cost and 1% improvement in sales by integrating legacy and complex business applications

Insurance Process Automation

How a large insurance company improved work efficiencies and turnaround time leveraging business process automation