How we use data-driven decisions to optimise online shop product ranges.

Drawing on all kinds of data sources, we use our [nP]analytics. analytics solution to develop tailored recommendations for action regarding online shop product ranges, thereby tapping into measurable competitive edges for you.

Data analysis
Optimisation suggestions
Success tracking

Implementation example

  • Order data, product range data and inventory data flow out of the online shop and into our data warehouse.
  • The data collected is cleansed and structured.
  • The team of experts analyses the data and identifies patterns.
  • Using these patterns, we develop suggestions for range rationalisation or for the optimisation of production/inventories.
  • Based on this, clear recommendations are made in the area of sales support measures.
  • We make all the relevant KPIs available at a glance in real time in an interactive dashboard for the purposes of performance assessment.
0
Users in Germany
0
LOCATIONS
0
products
0
campaigns

RANGE RATIONALISATION: RANGE REDUCED BY

0 %

WHILE TURNOVER REMAINS THE SAME.

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Diesen Case haben wir mit folgender Lösung umgesetzt:

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