Remove Analytics Remove Inventory Remove Sourcing
article thumbnail

10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.

article thumbnail

10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods. Amazon is a leader in AI-driven supply chain management.

article thumbnail

Key Takeaways from SAP Spend Connect Live

Logistics Viewpoints

SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. The enterprise software company also announced a new analytics solution covering external workforce management.

SAP 292
article thumbnail

A Supply Chain Leader’s Guide to Managing Disruption With Modern Analytics

But, as leaders know, adapting to change is rarely a simple task and requires a fresh look at existing processes in planning and sourcing, inventory management, warehousing & distribution, and more. 4 use cases that leverage an active approach with supply chain analytics. Download your copy today!

article thumbnail

Walmart and the New Supply Chain Reality: AI, Automation, and Resilience

Logistics Viewpoints

Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions. The COVID-19 pandemic and ongoing geopolitical shifts demonstrated the risks of relying on single-source suppliers and minimal inventory buffers. Resilience is now taking precedence.

article thumbnail

How to Optimize Fulfillment with Unified Data

Logistics Viewpoints

Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer. These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management.