Retail

project
Retail

Faced with an onslaught of information from all aspects of their business from supply chain to stores to consumers, retailers need to filter through the noise to transform these disparate data sources into consumer-first strategies.

Retailers across the globe are facing unprecedented changes in the fundamental business model and day-to-day operations. Growth in competition, changing customer expectations, and the relentless development of technology is fundamentally remaking every facet of the retail business. Effectively responding to and taking advantage of these changes will be critical to sustaining performance and remaining relevant.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.

  • Shopper segmentation & profiling
  • Market basket & Purchase sequence analysis
  • Personalization & Recommendation
  • Media Mix & Attribution modeling
  • Market clustering/localization
  • Assortment planning & Optimization
  • Demand/sales forecasting
  • Inventory optimization
  • Store-level Out-of-stock vs service level analysis
  • Consumer promotion optimization
  • Mark-down promotion optimization
  • A/B Testing