55 real-world LLM applications and use cases from top companies

This article from Evidently AI compiles 55 real-world examples of how major companies are deploying large language models (LLMs) in production, organized across industries including e-commerce, fintech, tech, delivery, social media, and B2C. Each example includes a brief description and a link to the original source material. The use cases span a wide range of applications: Instacart builds internal AI assistants and generates food product images, Walmart extracts product attributes from PDFs, Grab uses LLMs for data classification and automated reporting, GitHub Copilot provides code suggestions, DoorDash extracts product details and builds support chatbots, and LinkedIn automates hiring tasks with an agent-based assistant.

The examples reveal several recurring patterns in enterprise LLM adoption. Many companies use RAG (Retrieval-Augmented Generation) for knowledge retrieval and customer support — including Thomson Reuters, Uber, and RBC. Content moderation is another common theme, with Yelp, Zillow, and Whatnot leveraging LLMs to detect inappropriate, discriminatory, or fraudulent content. Search relevance improvements appear across Leboncoin, Faire, Picnic, and Grab, while incident management and software testing use cases feature prominently at Google, Microsoft, Meta, and Uber. The collection serves as a practical reference for teams exploring LLM integration, highlighting that while the technology is powerful, building reliable production systems requires careful engineering, evaluation, and human oversight.