AI helps improve supply chain management
Accounting, financial, human resource, and payroll technology company Sage has introduced Sage Copilot to Sage Operations, aimed at enabling manufacturing and distribution teams to identify potential delays and bottlenecks earlier, make faster decisions, and shift from reactive problem-solving to proactive supply chain management.
The company says that the introduction marks a step toward more autonomous workflows that can identify risks and support routine operational decisions, allowing businesses to focus on customer service and strategic priorities rather than administrative tasks.
“Manufacturers and distributors need tools that cut through complexity, not add to it,” said Sage senior VP: enterprise resource planning Rob Sinfield. “Sage Copilot gives teams a clearer view of emerging risks so they can act before problems escalate and safeguard service quality. By bringing trusted AI into everyday operational decisions, it strengthens performance where speed, accuracy and customer expectations matter most.”
Built using Sage Ai, Sage Copilot is designed to surface timely insight on key operational, fulfilment and customer issues. Insights are delivered directly into existing workflows, enabling staff to prioritise tasks, resolve issues and maintain service quality without switching between systems or relying on manual checks. This aims to improve performance in environments where speed, accuracy and responsiveness are key.
“Sales Insights will give [our customers] an overview of open orders or delayed deliveries at any time, so they can react earlier and prevent potential problems. This allows teams to save valuable time and use it profitably for strategic decisions,” said abacus authorised signatory Katharina Kluth.
Sage asserts that the introduction of Sage Copilot into Sage Operations lays the foundation for a broader network of intelligent operational agents embedded across the manufacturing and distribution lifecycle. These agents will not only flag emerging issues but will increasingly take on routine decision-making and action work that currently occupies operational teams.
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