Two essential methods for gaining insight into category-wide sales.
Unlock the secrets of measuring market share for consumer packaged goods (CPGs) with this brief, clear explainer. It reveals two essential machine learning (ML) ingredients for benchmarking sales performance against competitors. The importance of automated data management and categorization are explored, with examples and infographics to present the information you need in an understandable way.
What this guide contains:
The insight you need to succeed on AMZ is comprehensively presented here. This document covers why legacy ML models for estimating category-wide sales are obsolete, and what to do about it.
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