Case Studies

Built with Adobe Firefly generative AI, Fizzion encodes Coca-Cola's brand rules into machine-readable 'StyleIDs' that allow creative teams to produce localized content up to 10x faster—while pilot programs in AI-driven localization claimed 7–8% sales growth and 20% higher engagement.

Elmer's slime campaign assets that once took months to plan and shoot are now produced in days; Yankee Candle's European team generates dozens of design variations in seconds—all from a single AI-powered content supply chain.

A live hackathon with 776 P&G employees conducted with Harvard Business School and Wharton found teams using generative AI (GPT-4 via Azure) completed tasks 12% faster and professionals from different backgrounds developed more balanced solutions.

A modular AI agent combining UiPath RPA and OpenAI LLMs auto-validates warranty claims in near real-time, saving $250,000+ annually and resolving claims up to 70% faster—while routing only high-value cases to human reviewers.

An unnamed Fortune 500 consumer-packaged goods company deployed a machine learning trade promotion optimization platform — with SKU-level ROI forecasting and a real-time promotion simulator — generating $1.5 million in profit improvement and saving $34,000 per year by retiring legacy forecasting systems.

Consumer goods giant Reckitt partnered with BCG X to implement an enterprise-wide generative AI platform for marketing, accelerating content creation and reducing time on routine tasks by up to 90% while doubling output quality.

In 2023, Coca-Cola deployed GPT-4 and DALL-E 2/3 across two generative AI campaigns—inviting global digital artists to co-create billboard art and letting consumers envision the world in the year 3000.

PepsiCo partnered with Veridion to deploy comprehensive AI-powered supplier intelligence covering more than 60 data points per vendor — including location, certifications, and ESG metrics — strengthening its global procurement strategy and sustainable sourcing program.

UK agricultural parts distributor Sparex deployed Zoho Analytics to unify 15 million rows of daily live data from 18 global subsidiaries, eliminating conflicting reports, enabling self-service BI, and identifying a $1.4M sales opportunity in slow-moving inventory.

Wellness brand Hydrant used Pecan AI's predictive model—built in just two weeks—to identify at-risk customers and target them with precision email campaigns, achieving 2.6x higher conversion rates and 3.1x higher revenue per customer in winback campaigns.

Hydrant, a wellness DTC brand, used Pecan's predictive AI to identify churned customers most likely to return — achieving a 260% higher conversion rate and 310% more revenue per customer versus control.

French food and beverage giant Danone deployed machine learning–based demand forecasting to tackle the volatile, promotion-heavy demand patterns that drove 70% of forecast inaccuracy, achieving a 30% reduction in lost sales, 20% lower forecast error, and a 50% reduction in demand-planner workload.

By uniting fragmented loyalty, POS, and digital data under a single customer ID, Shiseido's marketing team delivered personalized experiences that increased in-store revenue per loyalty member by 20% and grew net income 38% year-over-year.