Why B2B and B2C Pricing Strategies Diverge in the Age of AI, According to New Research

New academic research examining value-based pricing implementation has identified meaningful structural differences in how B2B and B2C organizations apply value-based pricing principles, even as both increasingly incorporate AI into the process.

The systematic review, which analyzed pricing literature published between 2020 and 2025, found that B2B pricing implementation tends to emphasize negotiated, relationship-driven value assessment often tied to account-specific profitability models, while B2C value-based pricing more frequently relies on aggregate demand signals and broader customer segmentation. The research notes that AI and predictive technology are being integrated differently across the two contexts: B2B pricing tools increasingly focus on deal-level guidance and rebate optimization, while B2C tools emphasize real-time demand forecasting and elasticity modeling at a broader population level.

For pricing software buyers, the findings reinforce why vendors have increasingly specialized their platforms by B2B or B2C use case, since the underlying pricing science and organizational workflows required differ meaningfully between the two contexts despite both being described broadly as 'value-based pricing.'