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.

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