/flow
Chapter 4 · Growth systems & AI
Live Pricing Logic, Powered by AI
Not a financial tweak but a strategy shift, turning pricing into a live system that senses, decides, and acts in real time.
/What we built/
In a competitive urban mobility market, pricing is more than finance, it’s a real-time strategy lever. Car2Go needed to stay competitive across shifting demand, local rivals, and seasonal dynamics, all while avoiding manual micromanagement.
Pricing decisions were reactive and inconsistent. Marketing teams needed to know what to charge, where to adjust, and when to act, but lacked the insight, automation, and control to do it confidently or fast enough.
Moving beyond reactive pricing, we addressed the problem from a wider angle, reframing it as an opportunity for growth and control. We asked ourselves:
What if pricing wasn’t a manual decision but a system logic?
How can we see competitor moves in real time rather than after the fact?
What would it take for pricing to update itself, with human input only when truly needed?
How can pricing become a lever for growth instead of a daily firefight?
What signals, if captured and connected, would let us act faster than the market?
We built a live pricing engine designed around a custom AI model that transforms raw market signals into immediate, actionable price updates.
Tracked competitor prices in real time across defined geographies
Pushed signals into a central dashboard with dynamic filters
Connected pricing logic to both the website and advertising platforms
Allowed for automated pricing updates based on real-time triggers, with human override controls baked in
What emerged was a system that wasn’t just responsive but proactive. Pricing became a lever, not a liability.
Pricing updates executed in real time across all channels
Centralised control with market-level flexibility
Estimated 18–22% reduction in revenue leakage due to late or misaligned pricing
3x faster pricing cycles, reducing decision-to-execution time from hours to minutes
/More work.
