Anticipating demand provides substantial financial benefits through better planning, distribution, inventory, and pricing. But in numerous conversations with many CPG and retail executives, we have heard further excitement about its impact on transforming their organization.

Out of stocks and overstocks cripple retailers' businesses. Fifty nine percent of consumers report that they leave stores due to empty shelves - and this is only a small part of the problem. What is the financial cost to retailers? How is it impacting customer retention? And what is working and not working to solve these issues?

How Intelligent Order Promising bridges the Supply & Demand Gap For CPG companies, Intelligent Order Processing (IOP) is a new area of AI application that has arisen out the hard learnings of 2020. All major functions of a CPG firm, from Sales to Strategic Planning to Order Fulfillment, are now asking how AI can help them better manage the incidents of demand and supply variability that are here to stay.

What a global CPG company gained from an integrated RGM solution To achieve financial targets, CPG companies manage two major levers: costs and revenue growth. Recently, there's a renewed focus on Revenue Growth Management. Why? Because traditional approaches to achieve the price and market share increases are not producing results. Economic profit dropped 67% in the last decade, and COVID made it worse. Read how CPG companies face these issues and what one company did to change their trajectory.

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