AI case study

Mondelēz InternationalDemand forecasting and sales

Data silos choked model scaling. A unified platform now powers 20,000 models to optimize sales routes and cut inventory waste.

Published|10 months ago

Key results

Store Sales Increase
2–4%
Inventory Waste Reduction
2–3%
Sales Rep Effectiveness
~80%

Result highlights

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The story

Context

One of the world’s largest snacking and confectionary companies, operating in over 160 countries with iconic brands like Oreo, Ritz, and Toblerone.

Challenge

Data silos and duplicated development efforts across business units stifled innovation, while technical limitations made it difficult to scale...

Solution
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Quotes

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The company

Mondelēz International logo

Mondelēz International

mondelezinternational.com

Global manufacturer of chocolate, biscuits, and snack food products.

IndustryConsumer Products
LocationChicago, IL, USA
Employees10K-50K
Founded2012

The vendor

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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