If you want to improve retail execution and merchandising by making sure your shelf reality matches your shelf expectations, Planorama has a mature set of tools that could be a good match. Planorama includes PlanoCheck, PlanoConvert and PlanoManager that convert shelf photos into insights, automatically generate planograms and let managers rapidly control in-store layouts. The system uses AI and deep learning to adapt to changing store conditions and to provide precise measurements and data-driven decisions to maximize shelf space.
Another contender is RELEX, a unified supply chain and retail planning system that uses machine learning to make data-driven decisions. RELEX optimizes retail and manufacturing operations with modules for inventory management, production planning and merchandising. The system offers real-time visibility and collaboration across all levels, helping retailers and consumer goods companies to improve inventory and reduce costs.
If you want to squeeze more profit out of your business, Profitect offers a prescriptive analytics system that uses machine learning to analyze vast amounts of data and provide real-time recommendations. It can optimize operations by finding problems in areas like inventory accuracy, sales and waste, and it's led to major improvements in sales, margin and labor efficiency.
Last, Antuit is an AI-powered demand forecasting and omnichannel inventory optimization system. It forecasts demand, optimizes inventory across multiple channels, and can be integrated into existing business processes. That can help retailers and consumer product companies avoid stockouts, improve inventory efficiency and increase revenue.