Retail Intelligence (RI)

Retail IntelligenceDownload

Main idea of Retail Intelligence is to bring meaningful, actionable data to marketers responsible for traditional in-store and on-line selling. Basic unit of analysis we suggest is purchasing behavior. This approach reflects the shift from product centric (ERP systems) to customer centric analytics. Buying patterns serve both: as the subject under investigation and evaluation criterion of marketing actions.

Key business questions addressed by our solution are the following:

  • Should a company force unified marketing policy or accommodate marketing action to follow regional differences in purchasing habits?
  • How to maximize profitability of selling space based on consumer preferences related to brands and SKUs constituting our portfolio?
  • How to arrange space and how to place products to maximize income?
  • What products should be offered together and when to compensate seasonal changes in sales volume?
  • How selected products that we can act upon drive purchasing other goods?
  • How to arrange on-line selling space (web page design) to maximize conversion?
  • What products to recommend as the next-step purchase based on purchasing sequences?

All of the above business problems are addressed by our Retail Intelligence solution via analytical dashboards, data summaries and practical metrics directing marketing programs.

  • RI offers:
    • discovery of purchasing patterns defined by frequent item sets (products bought together) and by purchasing rules expressed in terms of antecedent and consequence on three levels: category, brand and SKU;
    • multi-level visualizations and table summaris with dill-downs of basket pool shares and its changes related to items under investigation;
    • consumer engagement indexes expressed by frequency of different basket sizes with unique categories of products and basket values;
    • multi-level scoring metrics referring in-basket frequency focused on categories, brands and products;
    • consumer brand preferences and prices coverage within categories of products;
    • real time indexes referring the structure of consumer interest in company offer and conversion rates;
    • analysis of on-line lost income, dynamics of the phenomenon and its sources.