Top High-Value AI Use Cases in Retail & CPG

Use Cases & Projects Nancy Koleva

From hyper-targeted marketing campaigns and customer journey optimization to transforming warehouse and store management, AI is empowering brands and retailers to understand their customers and their businesses better in order to deliver unique, differentiated, one-on-one experiences.

Marketing, sales, and supply-chain management together constitute some of the biggest areas of opportunity. And of course, AI is a powerful tool for personalizing product recommendations, including through analyzing aggregated user data to understand individual customer preferences.

go deeper - get the white paper

Consumer industries such as retail and e-commerce will tend to see more potential from marketing and sales AI applications because frequent and digital interactions between business and customers generate larger datasets for AI techniques to tap into. For their part, brick-and-mortar retailers and CPG companies can implement AI applications to improve product assortment and inventory management per store and to optimize their supply chains end-to-end.

The following infographic summarizes some of the most common high-value use cases for real-world AI applications in the retail, e-commerce, and CPG space.

GM876-DAC Infographics for Retail White Paper 2019_Top_High_Value

Go Further:
AI in Retail & CPG White Paper

Making the transition into the age of AI isn’t easy for the retail and CPG industry, but with the right infrastructure for people, processes, and tools, companies can thrive. Download our new white paper and learn about the highest-value use cases, main challenges, and top trends for AI in retail and CPG. 

Let's go >

You May Also Like

Dataiku Solutions: How They Work and How to Use Them

Read More

5 New Dataiku Features to Streamline Your RAG Pipelines

Read More

Taming LLM Outputs: Your Guide to Structured Text Generation

Read More

From Vision to Value: Visual GenAI in Dataiku

Read More