Element / Retail - Intelligent Backend Integration for Predictive Accuracy
Intelligent Backend Integration for Predictive Accuracy
Problem :
Reliable pricing simulations require vast volumes of clean, accurate, and harmonized data from diverse sources-something many organizations lack due to fragmented systems and manual processes.
Solution :
The backend of the Pricing Simulator consolidates and harmonizes data from Nielsen, XTEL, NSV files, COGS, COVID metrics, holiday calendars, and VAT records. This unified model-ready dataset is enriched through normalization, imputation, and quality checks to ensure prediction accuracy.
Outcome :
Pricing predictions became more reliable and nuanced. With structured, high-quality data feeding into the simulation engine, users made confident decisions that were both defensible and data-driven.