Think of this as a smart advisor that reads what shoppers say about prices (reviews, surveys, social posts) and tells retailers how customers really feel about their pricing, promotions, and fees.
Retailers struggle to understand how consumers emotionally perceive prices, discounts, and fees across channels, leading to suboptimal pricing strategies, margin loss, and customer churn.
Proprietary corpus of consumer feedback and transaction data tied to pricing experiments; embedded into pricing and merchandising workflow tools, making the insights sticky for retail teams.
Hybrid
Vector Search
Medium (Integration logic)
Quality and coverage of labeled (or weakly labeled) consumer feedback linked to specific price points and campaigns.
Early Majority
Focuses on the psychological and communications side of pricing perception (fairness, confusion, anchoring, fees) rather than just numerical price elasticity, and can be layered on top of existing pricing engines or retail analytics stacks.