Pricing hasn’t evolved like other core business functions. This article explores the hidden cost of outdated pricing processes and why waiting to modernize is a decision in itself.
Stay ahead with competitive pricing that combines real-time market insights, demand signals, and automation to protect margins and drive smarter decisions.
As AI agents begin shopping on consumers’ behalf, retail competition is changing. Discover why machine-readable data, real-time pricing, and value will determine which products agents choose.
LCP gives AI agents a way to discover and verify transaction terms, raising the bar for retailers to make dynamic pricing equally transparent, traceable, and defensible.
Fashion pricing moves fast. The right dynamic pricing platform turns demand, inventory, seasonality, and competitive signals into smarter pricing decisions.
New surveillance pricing laws don’t ban AI or dynamic pricing. Learn what retailers need to know, where the real compliance risks lie, and how to prepare.
Discover how Model Context Protocol (MCP) is transforming pricing intelligence by enabling AI agents to securely access data, execute workflows, and turn insights into action beyond traditional dashboards.
Clearance and markdowns, often treated as an operational afterthought, represent one of the largest untapped margin opportunities in modern retail. In 2026’s high-pressure environment, reactive discounting and blanket markdowns drive unnecessary margin loss, while forward-looking, data-driven pricing can turn end-of-life inventory into a powerful lever for capital recovery and profitability.
The US algorithmic pricing regulatory wave is accelerating faster than most retailers realise. Here is what CPOs need to understand and act on before October.
Dollar volatility in 2026 has made traditional pricing buffers ineffective. As static pricing erodes margins and competitiveness, brands need dynamic pricing powered by real-time market data, transparent price governance, and SKU-level pricing.