Data-Driven Pricing Errors Could Cost Consumers Billions

A new study warns that algorithmic pricing errors—from typos to flawed models—could overcharge consumers by up to $1.2 billion annually. Researchers found that even small mistakes in data inputs can cascade into widespread price distortions across e-commerce and travel. Regulators are urged to require transparency and audits for automated pricing systems.