real-time business intelligence for retail - AI tools

42 is an AI-powered retail analytics platform that processes data from every sales channel to deliver immediate, accurate reporting with customizable dashboards and built-in retail metrics.

• Freemium
• From 1000$

Galigeo is a comprehensive location intelligence platform that provides geomarketing, geodecision-making, and commercial efficiency solutions through predictive analytics and spatial data integration.

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Krunchbox transforms complex retailer POS data into actionable insights using AI-powered analytics, helping brands optimize inventory, pricing, and sales decisions with enterprise-grade security and real-time processing.

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Insighting is an AI-driven sales intelligence platform that delivers real-time insights for B2B companies, helping teams detect churn, uncover upsell opportunities, and track revenue trends without manual analysis.

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Optimix Solutions provides AI-driven pricing analytics, supply chain forecasting, and assortment management tools to help retailers optimize margins, reduce stock-outs, and improve operational efficiency.

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Trax delivers AI-powered retail solutions including real-time data, retail execution, and consumer engagement to increase ROI for CPG companies through image recognition technology.

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Erply provides an integrated cloud-based retail management system with AI-driven features for inventory, POS, employee scheduling, reporting, and multi-store operations, empowering retailers to optimize store and franchise growth.

• Free Trial
• From 49$

Geoblink is a location management platform providing data-driven insights for retail, commercial real estate, and consumer goods sectors to optimize location performance and strategy.

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Airboxr is an AI-powered business intelligence platform designed for retail brands, integrating with existing spreadsheets to provide advanced analytics and automated reporting for data-driven decision-making.

• Free Trial
• From 249$

Retailigence is an AI-powered retail optimization platform that uses machine learning to maximize customer demand in stores through store clustering, assortment optimization, space allocation, and operational issue tracking.

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