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Building a Triple A Supply Chain: Ten Tactics That Work

Supply Chain Shaman

We consistently see that companies focused on functional excellence–a focus within a functional silo like manufacturing, transportation or distribution– or singular metrics– like inventory or costs– underperform against their peer groups. Reward teams for cross-functional metrics. Maturity in Analytics.

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Why is Collaboration Important in Supply Chain Management?

QAD

This may include tools such as cloud-based platforms, predictive analytics, and machine learning algorithms. Organizations should also establish clear roles and responsibilities for each partner within the supply chain solution, define performance metrics, and establish processes for monitoring and evaluating performance.

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What Can You Do to Ensure Your Supply Chain Stays Compliant?

Logility

Vendor scorecards based on performance metrics help ensure better sourcing decisions when used to assess and compare vendors and assist with onboarding. Use advanced analytics to manage risk while predicting possible areas of exposure; scenarios and simulations can help to assess the impact of disruptions and recommend optimal alternatives.

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Breaking Boundaries: Exploring Generative AI’s Impact on Supply Chains

The Logistics & Supply Chain Management Society

Generative AI can use models with billions or even trillions of parameters trained on massive datasets (think the size of the internet), enabling it to produce increasingly complex outputs such as speech, text, and videos. It can then generate new content using prompts that resemble the original training data.

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How Can Life Sciences Supply Chains Navigate a Disrupted World?

Logility

Digital twins can integrate a variety of data sources, including the Internet of Things (Industry 4.0), artificial intelligence (AI) and advanced analytics. Once life sciences companies have digitized their physical world, they can focus on taking advantage of new data streams that are powering analytics and cognitive technologies.

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Scouting for Success: The Role of Data in NFL and Dispatching Strategies

Locus

After all analytical discussions, the NFL scout has the final say before the manager decides if the player is worth signing. They leverage the power of analytics to narrow down the prospects and select those few players who can drive the team to glory. These metrics prove to be an early indicator of the future success of NFL players.

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Driving Supply Chain Analytics User Adoption with Cross-Departmental Metrics

Logility

User adoption is a challenge that often arises during the rollout of supply chain analytics solutions. But changing the mindset from spreadsheets and reports to an analytical capability can be challenging as users must give up control of the data in exchange for more power to analyze the information. Cross-Departmental Dashboards.