What's Inside

In order to meet customer demand and expectations, it is essential for CPG companies and retailers to carry the right product assortment. Effective localization of assortment and space planning can be a very challenging task, and most retailers often fall short of harnessing the true potential of technologies such as artificial intelligence (AI) and modern approaches in machine learning and data science (DS).

In this report, we analyze key industry trends and discuss how CPG companies and retailers can achieve the goal of customer-centricity through the hyper-localization of assortment. We consider challenges in using data and assortment planning, as well as the skills required to succeed in retail category management.

We also explore an AI- and DS-powered solution by HIVERY, which harnesses store-level data for category management optimization, enabling precision in category management and localized assortment.

This free report is sponsored by HIVERY. Non-subscribers can access the report by completing the form on this page.

This report forms part of our Innovator Intelligence series, which focuses on emerging technologies that are disrupting traditional retail and fueling innovation across the retail value chain.

Contents

What’s the Story?

Why It Matters

Precision Category Management: In Detail

HIVERY: Optimizing Category Management

What We Think