Impact Analytics, a leader in AI-native solutions for retail planning, merchandising, pricing, and supply chain optimization, has launched CortexEye™, a new decision intelligence platform. CortexEye enables retail leaders to ask complex, natural-language questions of their enterprise data and receive clear, explainable answers about performance drivers—bridging the gap between monitoring metrics and understanding causal factors across merchandising, marketing, pricing, supply chain, store operations, and external signals.
Retailers have invested heavily in data infrastructure, yet many still rely on manual cross-functional analysis to understand performance drivers. Pricing changes, promotions, inventory flows, competitor actions, store execution, and external factors like weather interact dynamically, making root-cause identification slow and inconsistent.
CortexEye changes this by introducing an embedded reasoning layer that connects disparate signals into coherent narratives. Retail leaders can ask questions such as “Why did this category decline despite higher marketing spend?” or “What factors are driving margin pressure this week?” and receive answers grounded in their own data, complete with evidence and context.
“Retailers have invested heavily in data infrastructure, but the real challenge isn’t accessing data, it’s being able to ask meaningful questions of it and trust the answers,” said Prashant Agrawal, CEO and Founder of Impact Analytics and Professor of Retail AI & Advanced Analytics at Columbia Business School. “With CortexEye, leaders can ask questions like Why did this category decline despite higher marketing spend? or What factors are driving margin pressure this week? and receive a structured, explainable answer grounded in their own enterprise data. That ability to interrogate your data and quickly understand the ‘so what’ fundamentally changes how decisions get made.”
By institutionalizing cross-domain expertise within the analytics layer, CortexEye reduces coordination overhead, stabilizes decision quality, and scales enterprise intelligence without headcount growth—while maintaining governance and explainability critical for operational AI adoption.
Impact Analytics has released the whitepaper “CortexEye™: Embedding Decision Intelligence into Retail Operations,” detailing the limitations of current analytics architectures and the emergence of decision intelligence as the next layer of retail technology.
About Impact Analytics
Impact Analytics delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics leveraging Agentic AI. With a fully integrated end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights, rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been at the forefront of AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. Recognized for innovation and growth by Fortune, Financial Times, Inc. 5000, and the RIS Leaderboard, Impact Analytics continues to lead the way in shaping the future of business intelligence.
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