This use case application will provide retailers with optimal insights into consumer preferences and improve the effectiveness of marketing strategies for improving consumer shopping experience.
This will be used by ATOS, which is currently defining a roadmap for a major Spanish food retailer that will allow them to offer predictive shopping lists, and tailored recommendations and promotions.
The data-oriented infrastructure of BigDataStack will enable:
Data collection, aggregation, storage and analysis, handling a multitude of heterogeneous sources which, combined, they generate data at an unprecedented rate, and BigDataStack will manage them and seamlessly analyse them for the 3 predictive services envisioned in the scenario.
Efficient and optimized analytics and real-time decision making enabling the development of data-based value added services such as product logistics, virtual shopping carts and predictive lists, marketing and loyalty management. These services require a real time response, for example actuation of interactive displays in stores or issuing coupons to customers’ mobile devices.
Process improvement (with an emphasis on product replacement) exploiting the BigDataStack process modelling and process mining outcomes.