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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.

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Beyond The Data with William Sandoval

The Logistics of Logistics

Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.

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The Emergence of Supply Chain Data Fabrics

Logistics Viewpoints

The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. A production plan from an IBP meeting should be considered a rough-cut long-term plan, merely the best estimation of what was likely, not something written in stone.

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Vendorflow: Better Communications for Trucking Teams with Eric Rodriguez

The Logistics of Logistics

The solution embraces the Shared Inbox model so the entire dispatch & operations team can all collaborate on driver conversations in one place. Security and Compliance: Vendorflow places a strong emphasis on data security and compliance, ensuring that all vendor data is handled securely and meets industry standards.

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

“Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company. Inconsistent data on safety stock levels.

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

Logistics Viewpoints

Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies. A data-driven, technology-enabled approach is required to build resilience and efficiency. Resilience is now taking precedence.

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Evolving Supply Chain Models and the Outlook for Investors

Logistics Bureau

Integrated networks of “as-a-service” platforms, including analytics engines that predict demand dynamically, can enable businesses to scale autonomously to meet peaks and troughs. Because of the evolving need to provide customers with ever-greater choices and meet their requirements for customisation and personalisation.

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Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). Focusing on this information once per month during the S&OP meeting is too late for all business units to align.