Market Equations India helps a leading financial services group use analytics to leverage its huge customer database to attract customers towards its various other financial products using innovative and smartly designed cross sell strategies.

Market Equations helps the Financing arm of one of the largest Car rental dealerships in the US build incisive and comprehensive predictive models to help the dealership predict profitable future loans while avoiding unprofitable loans, design optimum pricing strategies and optimize portfolio performance to maximize revenues.

Market Equations India helps a leading Bank use analytics to develop a scorecard at the account level such that higher the score more likely the account would default in the next month. This would enable the bank devise differential multimedia treatments at a segment level and optimize collection efforts to boost collection revenues.

Market Equations helps a UK based online retailer leverage predictive analytics to accurately forecast demand across multiple DC's globally enabling them reduce inventory costs, improve customer service and retention levels and increase sales by over 200% by reducing stock outs.

Market Equations India helped a global E-Commerce Fashion retailer with Outbound freight optimization analytics - by cost, service levels, zone, package dimensions and weight thereby, helping the company optimize customer service levels, reduce shipment costs and maximize profitability.

Market Equations helped a UK based E-Commerce firm institutionalize sales and marketing Analytics by building a correlation model linking Facebook "likes" and "fan" growth to Sales, helping them allocate their marketing spends effectively into channels that maximize returns and reduce costs incurred in holding excess inventory and retain clients by eliminating...

Market Equations India helped a leading multi brand E-Commerce firm extract valuable insights from their large customer database and understand the varying sales trends, customer behavior, product affinity, market baskets to...

Market Equations helped a large insurance company in the United States develop an analytics based scoring engine that identified fraud and suspicious claims thereby, helping them take corrective action on a real time basis.

Market Equations helps a large Insurance company in the US take preventive action by identifying individual members who have high probabilities of incurring high medical costs.

Market Equations developed a Customer Churn Analysis Scorecard solution for a large Telecom service provider in the United States to identify key churn drivers and helping them retain subscribers by implementing churn prevention strategies. Key Objectives: Early Identification of likely defectors, Identification of key Churn drivers/triggers and Optimizing...

Market Equations helps a large Telecom company in the US build a robust model for their collection strategies to optimize their collection efforts. This tool is being used in a live collection system with an automated alert system to raise indications of customers in terms of high, medium or low risk level at the time of their first default itself.