Set-up of a analysis environment for REWE International AG
Implementation of a powerful IT infrastructure based on R.More
Online and stationary retail offers a huge potential for the use of machine learning and artificial intelligence. From the control of special offers to the selection of the location of the next store, the possible applications in which added value can be generated with data science are almost limitless.
The generation of this added value from data is our daily mission. We have been supporting the retail industry with our data science solutions since 2010. Rely on our experience and turn your data potential into tangible competitive advantages.
Link different data sources (bond data, master data, promotion characteristics) and use time series analyses to identify and adjust seasonal trends in the KPIs. Result: Report with statements about the influence of price promotions on the shopping basket.
KPIs, market characteristics, customer data, regional key figures: Analysis of the success factors of existing retail stores. Creation of a resilient knowledge base for location planning.
Determination of the effect of past distribution campaigns in postal code areas on the basis of the generated turnover. Determination of a scattering effect that expresses the changes in euros and thus provides decisive support for the successful planning of future campaigns.
Differentiate existing customers according to their sales potential based on information such as their sales history and existing demographic data. Development of a scoring model to evaluate customers and to control future campaigns.
Average receipts, historical price actions, time of day and information about the market environment: inclusion of different variables for dynamic pricing in order to be able to determine the optimal sales price based on algorithms.
Forecast of expected sales volumes on the basis of internal and external factors influencing customer purchasing behavior. This makes it easier to control procurement processes and further shorten overall lead times.