How can AI and Big Data improve pricing decisions?

Machine learning spots nonlinear patterns humans miss, such as micro‑seasonal shifts or hidden cross‑product cannibalization. Moreover, AI models ingest clickstreams, weather, competitor prices, and inventory levels in real time, then recommend granular price changes within guardrails you set. That means smaller teams can manage millions of price points with higher precision. Continual learning loops refine models as new transactions arrive, keeping recommendations in line with changing market dynamics without constant manual tuning.