Reckitt achieves 60% efficiency gains in marketing with BCG X generative AI platform

Background

Reckitt's marketing function faced the same challenge as many large CPG companies: the volume and variety of content required for global brand management — across markets, channels, and formats — was straining teams. The company identified marketing as its highest-priority function for AI transformation, focusing on automating time-consuming analytical and content production tasks to redirect human creativity toward higher-value work.

What Was Implemented

• Enterprise-wide generative AI platform built with BCG X
• AI automation of post-campaign media analysis and reporting (previously requiring six people about a week; now automated)
• AI-powered content creation and concept development tools
• AI-driven consumer preference and market condition tracking
• Workflow redesign to embed AI at the center of end-to-end marketing processes
• Expansion of GenAI into other business functions following marketing success

Results

60% efficiency boost confirmed across marketing workflows. Concept development time reduced by up to 60% . Routine post-campaign analysis time reduced by up to 90% with output quality improving two-fold. Ad adaptation and localization time reduced by approximately 30% . The book's "content creation accelerated by 40%" figure was not directly matched in the BCG X source text (unverified — not confirmed in sources fetched with that specific framing). Reckitt is expanding the platform into other business functions.

Lessons

• Targeting the marketing function first — where content volume is high and ROI from AI is measurable — provides a compelling proof case for enterprise-wide AI expansion.
• Redesigning workflows end-to-end (rather than layering AI onto existing processes) is required to capture the full 60%+ efficiency improvement.
• Post-campaign analysis is one of the highest-ROI targets for AI: it was previously a multi-person, multi-day effort and is now automated.