Performance Marketing – the Next Frontier in Supply Chain Optimization?

“Imagine a world, within our reach today, where brand marketing forecasts auto-magically feed into the demand forecasts that drive inventory planning.” According to Randall Beard, this is a near reality. . .with the right technology behind it.

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CSCOs, Listen Up - It’s Not the Data’s Fault

To all Chief Supply Chain Officers - it’s time to take control of the data that drives your business and adopt a new, more trusting, mindset. Too often I hear the cop outs… “those are projections from sales and finance — their data cannot be trusted, we hope to have clean data soon, then we can move forward” to “I don’t have time for another S&OP meeting about whose forecast data is best” to “are we really going to fund another data project that will take longer, cost more, and have minimal impact.”

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Infographic: AI Demand Modeling Studio.

With ready-to-go, configurable, and extendable AI models and pipelines for solving essential forecasting needs - you can get the tools used by the world's leading AI forecasting company at your fingertips.

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AI Demand Modeling Studio – Simplified access to the world’s best forecasting

Antuit.ai recently released its AI Demand Modeling Studio for consumer product and retail companies, opening up their best-in-class AI to consumer product and retail companies. This article answers the FAQ about AI Demand Modeling Studio.

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Driving Size Optimization Precision

During the last 12 months, fashion retailers heavily invested in tightening assortments and improving their inventory efficiency. While these investments are needed, all the benefits come undone if a customer cannot find their size. Worse, tightening assortments exacerbates the size stock-out problem, damages customer satisfaction, and creates significant financial pain unless size allocation is accurate. A 20% size misallocation drops margin dollars by 50% if markdown pricing is uniform across all sizes. 

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