Retail
Data-driven Guide to Augmented Revenues
Our Retail Analytics solutions help retailers boost their customer engagement, improve their marketing returns, and drive sales by leveraging the power of predictive analytics—thus, enabling customer-centric marketing, discount, and in-store strategies.
Retailers go all-out to deliver a superior customer experience, while they try to stay upbeat with varied customer needs and evolving expectations through a personalized approach.

We identify the following areas to get the maximum benefits from our solutions:
- Customer Intelligence & Segmentation
- In-store Promotion Optimization
- Pricing and Campaign Effectiveness
- Customer Targeting & Next Best offer
- Product Affinity Analysis
- Demand Forecasting & Replenishment Planning
With these significant functions sorted, you get to build better customer base and rapport, at the same time ensure controlled and profitable operations of the stores.
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Customer Intelligence
and SegmentationWe help you identify the most profitable segments through meticulous customer classification and profiling. Our “Segment-Profile-Target” model simplifies reaching out to the right customer at the right time with the right offer.
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In-store Promotion
OptimizationWe utilize the data extracted from basket observations, purchase history, and footfall and develop models to chart in-store promotion optimization strategies.
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Pricing and Campaign
EffectivenessOur price sensitivity modeling helps you create competitive prices while ensuring maximum profit margins.
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Product Affinity
AnalyticsWe identify most effective cross sell and upsell opportunities across products and categories, by customer profiles/ segments, to create efficient offers and product bundling strategies, along with optimized shelf planning and category management.
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Targeted Next Best
OffersWe derive insights the historical purchase patterns and recurring basket items data and use it to establish product associations. This helps to create the next-best offers for each product segment.
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Demand Forecasting &
Replenishment PlanningOur demand forecasting models gives an intelligent estimation of the sales volume for individual SKU in the coming future. The model takes into consideration seasonality and promotional impact on the demand as well and generate most accurate forecasts.

Schedule your Consultation Improve Customer Experience and discover how retail analytics can transform your returns
Case Studies
A marketer gets to know the impact on sales of all her previous
tactics across vehicles, in a dynamic marketplace with interactions;
and can plan her future tactics on the go effectively as she can view
the possible outcomes.
Product Demand Forec...
Analytics solution for a US-based retail chain to provides automated demand forecasts for ...
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an improvised market basket analysis to understand the natural product associations that c...
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