Case Study

Breaking Down Silos with Gen AI: Developing a Unified Search Solution Across One of the World's Largest Fast-Food Chains

Breaking Down Silos with Gen AI: Developing a Unified Search Solution Across One of the World's Largest Fast-Food Chains

Pages 8 Pages

This 2024 case study describes how one of the world’s largest fast-food chains, operating 39,000+ restaurants in 100+ countries and planning 10,000 new stores by 2027, tackled knowledge silos across tools like SharePoint, Confluence, Jira, GitHub, and ServiceNow that drove duplicated effort and inconsistent access to information. Brillio was selected to help design a unified enterprise search engine that pulls from 10+ sources through one search bar with filters (source, date range, keywords) and real-time results, plus a GenAI “generator response” that summarizes complex outputs, extracts insights and trends, and supports role-based templates. The concept also includes multilingual, cross-lingual search, auto-suggestions, and custom GCP connectors designed for resilience, scalability, and

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