Table Of Contents
- Settings the scene
- 1. Booking.com: AI That Talks Like a Human But Works Like A Machine
- 2. WeAreRival.com: Making Sense of 28.5 Million Data Points (Yes, Really)
- Outro
How 2 Clients Use AI As Their Secret Ingredient
Settings the scene
Hi there!
Today we'll explore: How 2 Clients Use AI As Their Secret Ingredient
Ever wondered how Booking.com supports millions of travelers 24/7? Or how brands like Mercedes figure out who's winning the search war? Fortunately for us at Wakeflow, we've been right in the middle of both stories (spoiler: AI is the secret ingredient, and we're shamelessly plugging two related case studies below).
1. Booking.com: AI That Talks Like a Human But Works Like A Machine
Travelers don't wait and they want answers now. When Booking.com needed a way to help millions of users find the right stay, without overwhelming human agents, we built an AI-powered chatbot that felt personal, fast, and accurate.
The bot isn't just an FAQ machine. It learns. It recommends. It even smoothens out booking hiccups in real time. What used to be a support ticket is now a seamless conversation that drives conversions and keeps travelers happy.
2. WeAreRival.com: Making Sense of 28.5 Million Data Points (Yes, Really)
Now flip the script: Rival, a growth marketing consultancy, needed to analyze five years of search trends across 1,623 keywords and nine countries to help brands like Mercedes and Audi see who's winning the online wars (think: search market share).
The problem? Google Trends data provides relative volumes over specific periods, not absolute data. Meaning you can't just pull data and compare 1:1. So we built a custom analytics pipeline that ingested millions of data points, normalized them, and delivered instant dashboards with queries loading in under a second.
The result: Rival's clients now get real‑time market insights without waiting for consultants to crunch numbers and put them into slides.
What do these case studies have in common? They showcase we're living in an AI-as-infrastructure era. Companies aren't just adding AI features, they're building entire workflows around it. For us at Wakeflow it means designing systems that handle billions of API calls without crashing, predictive scaling (e.g. so dashboards don't slow you down), and human-like conversations that don't feel robotic.
The companies that embrace AI-driven workflows today will be tomorrow's market leaders.
Outro
That's a wrap for today. Every ~10 days I'll drop something useful in your inbox (think sharp how-to guides, a peek under the hood of tools we've built, or quick takes on key topics). Want more? Explore other articles from our team or swing by our site to see what we're building.
Scale wisely,
Laurent
