The Future of Retail Decision-Making: End-to-End Agentic AI Planning
An IDC Spotlight paper on how leading retailers can move beyond static planning to continuous, adaptive, and intelligent decision-making powered by agentic AI.
UNLOCKING BILLIONS IN VALUE FOR CLIENTS IN 30+ INDUSTRIES
Key Insights from the IDC Spotlight
What Retail Leaders Need to Know About Agentic AI Planning
Why Traditional Retail Planning Is Breaking Down
Persistent disruption, fragmented data, and slow decision cycles are exposing the limits of traditional planning approaches
The Rise of Continuous, Adaptive Planning
Leading retailers are moving beyond fixed planning cycles toward decision models that continuously adapt to changing conditions.
How Agentic AI Enables Autonomous Decision-Making
A new generation of AI-powered planning capabilities is helping retailers coordinate decisions, evaluate trade-offs, and respond at scale.
A New Model for Retail Decision-Making
Retailers today face constant disruption—from shifting consumer demand and supply chain volatility to inflationary pressures and omnichannel complexity. Traditional planning approaches, built around static forecasts and disconnected processes, can no longer keep pace with the speed and scale of modern retail.
In this IDC Spotlight paper, analyst Ananda Chakravarty explores how agentic AI, neurosymbolic intelligence, and unified knowledge graphs are enabling a new era of continuous, adaptive planning.
Learn how retailers can connect decisions across merchandising, pricing, inventory, and supply chain functions to improve agility, profitability, and resilience.
