Measurable AI ROI Delivered for Inventory Management Through Optimized Decisions that Free Working Capital, Improve Service, and Reduce Waste
MOUNTAIN VIEW, Calif., April 02, 2025–(BUSINESS WIRE)–Aera Technology, the decision intelligence company, announced it is delivering returns on investment in artificial intelligence (AI ROI) through optimized inventory management decisions. Using Aera, the company’s decision intelligence agent, market leaders are improving inventory performance by up to 20% through faster, more accurate decisions that sense and adapt demand and supply in real-time to generate value.
Inventory management has grown more complicated due to unprecedented challenges and disruptions — fueled by global trade dynamics, rising costs of raw materials, transportation, and labor, as well as risks associated with excess inventory and obsolescence. With inventory carrying costs accounting for 20%-30% of total value, companies that proactively manage inventory complexities in real-time can realize substantial benefits.
“Even with the best planning, you can have changes in manufacturing, warehousing capacity, or customer order patterns that require continually rebalancing inventory. This demands time and constant attention,” said Georges Tetegan, Corporate Vice President, Business Transformation at J.D. Irving. “Using Aera and its decision intelligence capabilities, we can predict issues ahead of time and receive informed recommendations in real-time to optimize inventory management and provide critical oxygen to our teams on the front lines. This enables us to accelerate our business into the future.”
Powered by Aera Decision Cloud™ and composable, scalable Aera Skills™, Aera senses and mitigates demand and supply fluctuations to generate recommendations and automate decisions aimed at freeing up working capital by minimizing overstocking, reducing product waste and spoilage, preventing inventory markdowns, and more.
Here are Aera Skills transforming inventory performance:
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Control Tower Skill: Provides centralized real-time visibility into inventory levels and movements, enabling faster and more informed decisions
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Demand Forecasting Skill: Uses historical and external data to create accurate forecasts, ensuring stock aligns with anticipated demand
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Demand Sensing Skill: Incorporates real-time signals like point-of-sale and weather trends to refine forecasts and adapt to sudden demand shifts
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Dynamic Safety Stock Skill: Continuously recalibrates safety stock levels based on real-time demand variability and supply chain conditions
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Inventory Rebalancing Skill: Adjusts stock distribution dynamically across locations to prevent both overstocking and stockouts
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Aging Inventory Management Skill: Identifies at-risk inventory and redistributes it to reduce spoilage and financial write-offs
