Data Analytics and Modeling Services :: Retail & FMCG

Solutions By Industry: Banking & Financial Services Insurance Telecom Retail & FMCG Healthcare & Pharma Travel & Hospitality

Case Studies: Customer Churn Analytics Demand Forecasting Insurance Analytics Medical Claims Analytics Credit Risk and Scoring Retail Analytics

Market Equations offer customized Data Analytics and Modeling Solutions for the Retail & FMCG Industry to include Customer and Marketing analytics including Customer profitability analysis, product preference and profitability analysis, Bundling, Cross sell and Up Sell analysis, Demand Forecasting, Inventory Management, Customer Segmentation analysis and expertise in Merchandising Analytics which optimizes selection, placement and promotion of merchandise at the store level, helping our customers maximize profitability under anticipated conditions. We employ descriptive analysis techniques including Sales Analysis, Category Trend Analysis, Brand Analysis, Stock out analysis, Promotion and Benchmarking analysis and advance predictive analysis including Lifetime Value Analysis, Churn Analysis, Market Basket Analysis and Response modeling techniques. Our end to end retail Analytics and Modeling solutions help you maximize revenue, target right customers, improve response times and employee productivity and customer service at the store level.

Retail Analytics & Modeling : Customer-Centric Data Analysis

    •  Profiling and targeted marketing,
    •  Customer profitability analysis,
    •  Basket analysis for opportunities in up selling or cross-selling, and
    •  Churn prediction and customer satisfaction analysis.

Retail Analytics & Modeling : Store-Level Data Analysis

    •  Product placement based on product associations at a store level,
    •  Store revenue or profit forecasting, or
    •  Store performance valuation

Retail Analytics & Modeling : Category Management Areas

    •  Accurate forecasting models
    •  Promotion planning and stock keeping at stores

Marketing and Customer Relationship Management: High fixed costs, diminishing margins and very changing customer loyalty heightens the need for Retail industry players to take smarter decisions on time and within budgets. We offer a variety of solutions that target the right customers with the right message-

Customer profitability analysis: Projects the lifetime value of a customer relationship, enabling effective investment management with limited or shrinking budgets.

Product Preference and Profitability Analysis: Evaluates value and ROI on a product level across varied customer segments and channels

Bundling/Cross-Selling/Up-Selling analysis: Complements sales and marketing efforts

Customer Loyalty/Churn Analysis: Profiling loyalty based on behavioral and purchase patterns and minimizes churn.

Demand forecasting: Estimates short-term, medium-term, and long-term demand ensuring services, products and distribution plans align with customer expectations

Customer segmentation analysis: Segments the market into groups that share common characteristics to support accurate, time bound market response propensity models.


Analytics in merchandising: Our high value Retail Analytics services optimize the selection, placement, and promotion of merchandises combining the cultural and geographical needs of a store. We help in-

• Determining merchandising strategies that maximize profitability

• Analyzing needs at the store level, and quickly responding to new trends thereby maximizing ROI through fact driven inventory investments, allocation and replenishments.

• Forecast demand for various products based on planned promotions