Our Retail Analytics Solutions offerings are designed to help retailers to make faster, smarter decisions -based on knowledge rather than gut instinct -in order to maintain a competitive edge. Globalization, deflation, diversification of sales channels and, most of all, changing customer demands create an environment where retailers struggle to turn a profit. Our teams use advanced quantitative modeling for effective usage of data in providing reliable customer, product and business information. Our analytic solutions use multi-point data and analytics to improve accuracy in segmenting populations, understanding buying patterns and motivations, and targeting effective treatments.
Key offerings of Retail Analytics Solutions:
- Demand Forecasting and Procurement Management: Forecasting and estimation of the demand for target products and brands to be retailed by considering for seasonal peaks and recession periods and thereafter optimal cost effective inventory management for the estimated demand procurement.
- Location Analysis: Identification of profitable store sites and design effective interior layouts
- Segmentation Analysis: Segmentation of customers into distinct clusters by cluster analysis techniques and design effective strategies for customer acquisition and retention, and to increase customer lifetime value.
- Ad Spend Optimization: Ensuring optimal allocation of advertising budget across various advertising channels for cost effective advertising resulting in incremental returns on investment.
- Cross Sell / Up Sell: Identification of selling opportunities in complementary products through a thorough analysis of customer purchase behavior and to sell higher end products for better customer satisfaction and higher profitability.
- Campaign Design: Selection of targeting methods (mailers, telemarketing, etc), marketing channels (agents, brokers, in-house telemarketers), and to structure campaign features


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