The bigger the data, the better the results. Trax has the world’s largest retail shelf database to ensure superior quality data. With experts in machine learning, classification, cluster analysis, data mining and more, we know the right questions to ask, manipulate data sets, and drive recommendations directly impacting your sales growth.
We combine shelf execution metrics with your sales data
Predictive modelling using data science
Actionable insights and recommendations
Even minute changes to your product price, promotion timing or location on shelf can impact your sales. Trax Retail Compass delivers prescriptive research that analyses in-store conditions and sales to generate powerful insights that help you win the shelf moment of truth.
Quantify the relation between sales, facings and product placement for various groups of stores
Ascertain price and promotional behaviour over time, study the impact of competitor strategies, and predict which tactics resonate best with your shoppers
Based on big store data, accurately predict the number of store visits needed to achieve the highest immediate impact of out-of-stock (OOS) reduction.
For added analytics, we introduce the new Shelf Blueprint by Trax and Nielsen, a predictive analytics and comprehensive planning service for the CPG industry. Now, complete your perfect store strategy with activation recommendations, macro space planning and shelf optimization designs.