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The Data-Driven Supply Chain: AI, Cybersecurity, and Real-Time Monitoring

Logistics Viewpoints

Smaller enterprises, however, often remain limited to off-the-shelf forecasting tools or point solutions without broader system integration. Forecasting and Replenishment Logic Short-horizon demand forecasting has shifted from batch to continuous models. shifting macroeconomic indicators).

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Smarter Back-to-School Replenishment with AI

ToolsGroup

A Season of Shifting Behaviors and Rising Pressures Back-to-school shopping is essential for most families, covering necessities like clothing, supplies, electronics, and educational materials. However, this year presents unique challenges: Tariffs on key imports like electronics and apparel are affecting supply costs and pricing strategies.

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CONA Services Embraces Supply Chain AI

Logistics Viewpoints

We have many types of rules, tolerances and variances that are electronically detected as this data flows through the system. The system can detect a deviation from a forecast, for example, and yet understand if the deviation is in an allowable range and that an alert does not have to be generated. Specific products?

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Interoperability in the Supply Chain: Leveraging the OSI Model for Seamless Logistics

Logistics Viewpoints

Key Consideration: Use of Electronic Data Interchange (EDI) and APIs to transmit order and shipment data across stakeholders. For example, coordinating inventory management systems with demand forecasting tools. •

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

From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Difficulty forecasting demand due to constant supply chain disruptions. Difficulty forecasting demand due to constant supply chain disruptions.

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How AI is Transforming Aftermarket Parts Planning

ToolsGroup

Yet many organizations still rely on outdated demand forecasting methods that fail to address the long tail phenomenon , resulting in inventory imbalances excess stock in some locations and critical shortages in others. If your business is still guessing at demand instead of optimizing it, youre sacrificing more than efficiency.

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Beyond Cost Optimization: Building Resilient Supply Chains in an Unstable Trade Environment

Logistics Viewpoints

When a new tariff is proposed, companies using AI-based forecasting tools are often able to adjust their sourcing or logistics strategies well before the policy takes effect. Rather than planning based on a single forecast, supply chain teams can evaluate multiple options in parallel: What happens if tariffs increase by 15%?