
Flowlity connects your internal data (sales, costs, inventory) with external signals (like competitor price and market data), uses machine learning and algorithms to model response (including price elasticity), and produces actionable pricing recommendations. Teams can then automate execution with guardrails, monitor results in dashboards, and improve decision-making over time.
The software learns continuously from actual sales outcomes, refining its elasticity models per product, channel, and customer segment. This means recommendations become more accurate the longer Flowlity runs, and pricing teams can focus on strategic decisions rather than manual price updates across thousands of SKUs.