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Kroger Uncovers Millions of Units in Unfulfilled Demand Using Lumi

Case Study

3 minutes

read

September 12, 2025

Ibrahim Ashqar

Kroger Uncovers Millions of Units in Unfulfilled Demand Using Lumi

Back to blog

Back to Case Studies

Kroger Uncovers Millions of Units in Unfulfilled Demand Using Lumi

511,434

Item-Store Combos Analyzed

1.5M Units

Unfulfilled Demand Identified

7 min

Time Taken to Find Insights

Company Spotlight

Kroger is one of the largest retail companies in the United States, operating supermarkets, pharmacies, and digital platforms serving millions of households nationwide.

More About Kroger

Industry:

Brand & Retail

Systems:

Databricks

Function:

Supply Chain

Introduction

Store Order vs. Distribution Shipment (OvS) is a critical supply chain metric at Kroger, measuring how well shipments align with store demand.

Problem

Kroger’s current tools can’t analyze OvS at scale, forcing high-level summaries and manual workarounds, driving unresolved out-of-stocks.

Approach

‍Using Lumi, Kroger identified items with the largest difference between the global Ordered vs Shipped (OVS) metric across all stores and the local OVS metric at each individual store.