Maximize revenues and margins through an insight-driven understanding of the most optimal everyday pricing. Everyday price recommendations are based on predictive demand forecasts and optimization routines, and consider cross-category and market basket effects.
Use what-if simulation to model alternate prices while understanding the impact of these prices on sales revenue, volume, margin, and competitive positioning.
Dynamic recommendations enable you to allocate optimal space to departments, categories, and sub-categories or planograms while maximizing overall sales and profits.
Consolidate multiple data sources into an easy-to-consume format, gaining actionable insights and recommendations to drive customer-centric and targeted assortments.
Identify opportunities for more profitable inventory investments while ensuring day-to-day decisions align with business objectives. Best-practice retail processes guide detailed financial planning with the flexible choice of deployment via the cloud or on premises.
Optimize in-store assortments for available space to maximize planogram performance, return-on-space, sales, revenue, and profits, while improving customer satisfaction.