Pricing Lifecycle

As marketplace competition increases, downward price pressures mean retailers face unsustainably low margins. To succeed and avoid the race to the bottom, retailers must improve Customer price perception and promotional effectiveness, without reducing prices too far. dunnhumby analyses existing strategies and identifies the best tactics for success. So you can optimize pricing strategies to grow margins and profit and boost promotion performance, all while improving customer price perception. Satisfying changing Customer pricing expectations is already a complex task, but combined with the need to hit commercial targets, it can become seriously challenging. dunnhumby Price gives you the ability to strategically optimize prices and forecast outcomes. Using Customer Data Science to recommend optimal base prices, Price helps you build Customer trust, improve value perception, and generate tangible results.

Retailgrid is an AI-powered pricing and retail analytics platform that enables retailers to optimize prices, promotions, and assortment decisions at scale. It integrates internal data (sales, costs, inventory) with external data (competitor prices and market signals) in a unified workspace. The platform provides rule-based pricing, dynamic repricing, price elasticity modeling, demand forecasting, and AI-driven optimization. Users can simulate pricing strategies, apply constraints (margin rules, price corridors, rounding), and automate price updates with full transparency and auditability. Retailgrid operates at SKU level across large assortments and supports omnichannel environments. Its spreadsheet-like grid interface allows teams to create custom metrics, run analyses, and execute pricing strategies in real time. Typical outcomes include improved margins, stronger price competitiveness, and reduced manual workload.