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5 Models of AI for Supply Chain Risk Management—And Why They Matter

Resilinc

In this blog, we explore the different types of predictive AI models for supply chain risk management. In our second AI blog of the series, Predictive AI vs. Generative Supply Chain AI , we looked at the difference between predictive AI and generative AI. How does Resilinc use regression models?

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ToolsGroup Partners with Planalytics to Bring Weather-Driven Analytics to Retail Planning

ToolsGroup

BOSTON, February 16, 2022 : ToolsGroup , a global leader in supply chain planning and optimization software, has partnered with Planalytics to integrate their weather-driven demand (WDD) analytics with ToolsGroup’s retail planning solutions, enabling customers to isolate, measure, and manage the influence of weather on their businesses.

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The One Key Shift in Your Supply Chain and Procurement Strategies that can Drive Better Business Continuity and Resilience

Logistics Viewpoints

Procurement and Supply Chain Management are essential functions that can help companies navigate these challenges, but they are often siloed and operate in separate departments. Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services.

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Better Ways to Address Trade-Offs with Supply Chain Optimization

Logistics Viewpoints

The trade with Asia we take for granted today was only possible by mitigating a significant supply chain trade-off – reducing costs without appreciable impacts to quality and service. Supply chain optimization has also improved in significant ways that can address these trade-offs better than before.

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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain?

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Descriptive, Predictive and Prescriptive Analytics Explained

Logility

Here’s your two-minute guide to understanding and selecting the right descriptive, predictive and prescriptive analytics for use across your supply chain. Companies that are attempting to optimize their S&OP efforts need capabilities to analyze historical data, and forecast what might happen in the future.

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How to Use Reference Data to Jumpstart Building Data Models

Logility

A key factor in the success of Logility’s network optimization solution is the use of reference data. However, it is misleading when you try to predict what you will spend in the next period. We believe users should be able to generate results immediately and be able to benchmark a model against their known costs.

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