Warehouse operations face unprecedented challenges, including rising labor costs, low unemployment, fluctuating demand, and increasing customer expectations across B2B and B2C channels. The self-optimizing warehouse — driven by advanced warehouse execution systems (WES) powered by artificial intelligence and machine learning — represents a revolution in fulfillment efficiency. 

S&P Global Mobility’s new whitepaper, Automotive Suppliers Outlook for 2025, reveals key takeaways and quotes from the executive interviews, offering insights into how each company plans to approach disruption in the years ahead.

Amazon will next submit a planning application with local authorities, and will apply for authorization with the Civil Aviation Authority to fly drones in the airspace.

In this Back to the Future Report learn how new systems powered by machine learning (ML) can provide daily warehouse storage slotting change recommendations that can be executed on a daily basis.

Organizations have problems when senior business executives are involved in troubleshooting everyday issues. Even if a company engages in strategic planning processes like Integrated Business Planning (IBP), it won’t get the expected results without proper execution at lower levels. 

Software alone can’t fully address the need for visibility. Companies need to expand their data sets by integrating functional and regional silos and formalizing supplier and vendor reporting.

In the third white paper of our series, “Deploying Strategy with Integrated Business Planning,” we illustrate how demand planning should drive the business.

This white paper demonstrates the principles of connecting strategy to plans and execution in each business function using Integrated Business Planning (IBP) as the means of deployment.

Understanding what makes an AI agent truly agentic, and integrating these models into their operations will be essential for retailers aiming to stay competitive and agile.