World is evolving with a trend where your refrigerator knows when you are out of milk with your selected brand. Meantime, intense competition on retail is increasing, stores are closing and opening every single day. SnA helps retailers across different verticals by segmenting the customer base, predicting customer needs and assigning customers’ contact preference at the right time through the right channel.


SKU Segmentation

Talking about thousands of SKU may be hard – segmenting SKUs help businesses know their product types / brands etc and may be utilized for further descriptive and predictive topics

Propensity Modeling

Mashing business domain knowledge with intensive data mining implementations to produce customer level predictions for best offer selection for the right customer

Market Basket Analysis

Analyzing the combinations of SKUs in intense transactional level data for contributing further marketing / promotion actions

Supplier Dashboards

In the benefit of both retailer and brand owner, generating data insight for effective decision making processes

Price Elasticity

Supporting pricing strategy, data mining / optimization techniques to assign customer level price elasticity

Customer Segmentation

Value / Attitudinal / Behavioral Segmentation work streams enable an analytical foundation for further predictive efforts

BTL Campaign Management

Measuring targeted and response-oriented campaigns for test / learn process automation and incremental revenue calculation

Category Revenue Forecasting

Category based revenue forecasting for supporting further marketing / promotion actions

Store Opening Appraisal Valuation

Forecasting / valuating the potential revenue generation of a store for feasibility generation of the company on decision making

Fraud Detection

Mashing as-is and to-be business scenarios with advanced analytical implementation to detect anomalies