Remove Forecasting Remove Procurement Analytics Remove Shipping
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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

AI in supply chain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics. Key Insight: The use of AI in supply chain automation is producing tangible benefits across procurement, warehousing, and logistics.

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Key Takeaways from SAP Spend Connect Live

Logistics Viewpoints

While SAP has had procurement analytics solutions, last year at Spend Connect Live, SAP announced the Spend Control Tower. Daniel Chapman, the senior director of process transformation for procure to pay at Warner Music, was a keynote speaker. And the supplier might reply, “I only agreed to ship 800.”

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How to Optimize Fulfillment with Unified Data

Logistics Viewpoints

These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management. Standard sizes and categorizations play a crucial role in determining the costs associated with shipping products that meet standard criteria in fulfillment centers.

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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!

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Reinventing Supply Chains: Focus on Human Factors

Supply Chain Shaman

In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. Each organization has multiple demand streams with different characteristics–forecastability, demand latency, and bias. Most companies forecast a single stream with a focus on error.

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Learning to Speak the Language of Demand

Supply Chain Shaman

In companies, there is no standard model for demand processes. New forms of analytics make new capabilities possible. > Unfortunately, companies have invested money in traditional forecasting processes believing that if they make the forecast better that corporate performance will improve. .> It is evolving.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

Next Steps: Start to model demand based on market data to align the organization on baseline demand. Resist the temptation to place deeper analytics on top of existing data models. Instead, rethink the model and the approach. Out of desperation, they turned to the use of descriptive analytics. Next Steps.