Definition

According to McKinsey (2020), “Dynamic pricing adjusts prices continuously based on real-time demand, supply, and market conditions.”

Introduction

If Uber charges more during rush hour or airlines fluctuate daily—it’s not random; it’s algorithmic economics.

Explanation

1️⃣ Dynamic Pricing – algorithm adjusts by demand and time.
2️⃣ Surge Pricing – temporary spikes in peak demand.
3️⃣ Benefits – optimizes profit, matches demand with supply.
4️⃣ Risks – perceived unfairness if not transparent.

Key Takeaways

Smart tech turns pricing into a real-time strategy.

Transparency maintains trust during surges.

Data analytics is core to modern pricing.

Real-World Case

Uber’s surge pricing ensures driver availability during peak hours while balancing supply-demand efficiency.
Reference: https://www.uber.com