SUPPLY CHAIN
ARTIFICIAL INTELLIGENCE
sup･ply chain ar･ti･fi･cial in･tel･li･gence (AI)
noun
uses automation for problem solving, continuous learning, and pattern matching. The key innovation in Supply Chain AI is predictive intelligence which is invaluable in using data to foresee disruptions, forecast demand, inventory planning, and utilize resources more efficiently.
SUPPLY CHAIN AI | The future of manufacturing
sup･ply chain ar･ti･fi･cial in･tel･li･gence (AI)
noun
uses automation for problem solving, continuous learning, and pattern matching. The key innovation in Supply Chain AI is predictive intelligence which is invaluable in using data to foresee disruptions, forecast demand, inventory planning, and utilize resources more efficiently.
Are Manufacturers Ready for Supply Chain AI Today?
Unfortunately, 99.5% of manufacturers today are not ready for Supply Chain AI. With older and disconnected technology, many manufacturers' and suppliers' data is not easily shared with one another. Integrated data and connected technologies are crucial for Supply Chain AI. Another issue within US manufacturing is the growing need of skilled workforce and overwhelming amount of work to do. AI can help through automating employees' extra workload, ensuring they are not overworked and assisting with employee retention.
Reduce Invoicing Errors
Invoicing errors caused by suppliers over-billing and/or under-shipping raw materials to manufacturers is far more common than people realize. Supply Chain AI can more accurately and consistently prevent invoicing errors using advanced and sophisticated pattern matching.
Reduce Inventory Costs
Supply Chain AI can more accurately predict raw material outages helping buyers and planners reduce excess inventory and potential shortages.
Reduce Defects
Supplier Quality issues are another major challenge facing manufacturers today. Supply Chain AI can help manufacturers better collaborate with their suppliers, pattern matching to detect repeat failures, and predict future quality issues.