Retail
The retail landscape is rapidly evolving, driven by omnichannel shopping behavior, dynamic competitive environment, and changing consumer product preferences. Pandemic related uncertainties have further complicated decision making due to the need to balance short-term priorities with long-term strategic imperatives.
The ability to provide personalized shopper experiences, develop responsive supply chains, and drive efficient assortment innovation are critical success factors in this environment. Decision science processes also need to evolve to enable rapid insight generation, hypothesis testing, and learning.
Effective use of data, DS/ML/AI algorithms, and technology that helps scale these solutions can help retailers generate more value.
Featured Offerings
Analytics Themes
– Shopper segmentation & profiling
– Market basket & Purchase sequence analysis
– Personalization & Recommendation
– Shopper behavior scoring & Campaign design
– Media Mix & Attribution modeling
Case Study
USD 14MM Incremental Annual Sales Due to Optimized Market Mix Strategy For an American Wine Retailer
Analytics Themes
– Shopper segmentation & profiling
– Market basket & Purchase sequence analysis
– Personalization & Recommendation
– Shopper behavior scoring & Campaign design
– Media Mix & Attribution modeling
Case Study
USD 14MM Incremental Annual Sales Due to Optimized Market Mix Strategy For an American Wine Retailer
Analytics Themes
– Optimal new store site selection
– Testing & Measurement for store-level innovations
– Store labor planning – front office, backroom & service
– Store closure impact analysis
Case Study
Efficient Allocation of USD 25 MM/year Capex through Spatial Data Analytics for Optimal Store Site Selection
Analytics Themes
– Market clustering/localization
– Assortment planning & Optimization
– Aggregate merchandize buy planning
– Customer – Product affinity scoring
Case Study
Using AI to Deliver Strategic and Actionable Insights for the Category Management Team
Analytics Themes
– Demand/sales forecasting
– Inventory optimization
– Store-level Out-of-stock vs service level analysis
– Supplier performance analytics
Case Study
1.5-2% Sales Improvement through Store x Item x Day Level Demand Forecasting for Grocery Retail
Analytics Themes
– Consumer promotion optimization
– Coupons & catalogs effectiveness
– Direct marketing effectiveness
– Mark-down promotion optimization
Case Study
USD 15MM in Incremental Margins through Price Recommendation Engine for B2B Retail
Analytics Themes
– Search effectiveness & Ranking vs Sales Analysis
– E-commerce promotion effectiveness
– Cart abandonment analysis
– Product recommendation & personalization
Case Study
E-commerce Data Management, Trade Promotions and Content Analytics helps improve Return on Spend by 30%
