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.
No longer is it simply about the lean, linear, efficient supply chain that can squeeze more profit out of a period of constant demand. Now, it’s about a resilient ecosystem that can react optimally to the unexpected.
Learn what IOP is and what will it do
Understand how IOP is changing ATP decisioning
Discover how to adopt and the value IOP brings
Why Intelligent Order Promising
In the next 5 to 20 years, technology will allow supply chains to go from being an end-to-end efficient linear machine, where if one thing stops the whole thing stops, to an ecosystem with an incredible amount of data and AI-driven predictability. But today supply chains are in a constant state of flux and struggle. Recent research shows that only 23% of consumer product organizations believe that their supply chain is agile enough to support evolving business needs.
Intelligent Order Promising (IOP) provides immediate, sustainable value by applying AI to near-term consumption sensing data. Guided by pre-determined business objectives, IOP improves Available to Promise, lowers OTIF penalties, and keeps retailer partners happy.
