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A New Model for Grocery Delivery with Sean Coakley

The Logistics of Logistics

A New Model for Grocery Delivery with Sean Coakley. Sean Coakley and Joe Lynch discuss a new model for grocery delivery. Key Takeaways: A New Model for Grocery Delivery. In the podcast interview, Sean and Joe discuss the new model for grocery delivery, which might also be called the “revenge of the retailers.”.

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Understanding Model Accuracy Risk Prediction

Supply Chain Brain

Data drives every supply-chain risk management decision. So, the data and the modeling need to be exceptional. But not all data and modeling are equal. Which begs the question, “How do I know whether I’m getting an accurate read on my risk exposure from the solution I’m using?”

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Two Considerations in Building Trustworthy Supply Chain AI Models

Supply Chain Brain

How does the data that fuels artificial intelligence models impact accuracy and utility? In other words, can we trust it to provide useful intelligence?

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Accelerate Model Building with SC Navigator’s New Whiteboard Functionality

AIMMS

SC Navigator's new Whiteboard functionality visually maps supply chains, simplifying data input for efficient modeling.

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How One Manufacturer Used GEP SOFTWARE To Save $45M in Direct Material Sourcing

In response to these challenges, a leading heavy equipment manufacturer selected GEP to redesign its source-to-contract processes and implement a convergent data model to help manage procurement data across its multiple locations.

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Killing Ghost Loads and Phantom Data with Michael Darden

The Logistics of Logistics

Killing Ghost Loads and Phantom Data with Michael Darden. Michael Darden and Joe Lynch discuss killing ghost loads and phantom data. Michael is the CEO of DFM Data Corp, a utility company designed to be a tool between digital partners moving freight in the USA and Canada. About DFM Data Corp. DFM Data Corp.

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4 Ways Supply Chain Modeling Enhances Enterprise Resilience

Logistics Viewpoints

Supply chain modeling is essential to substantiated resiliency analysis and to the planning of risk responses. A supply chain model is the digital representation of the structure, product flows and policies of a physical supply chain. Here’s a look at four areas of risk that can businesses can address through modeling and analytics.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data.

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The Modern Customer Success Playbook

This customer success playbook outlines best in class data-driven strategies to help your team successfully map and optimize the customer journey, including how to: Build a 360-degree view of your customer and drive more expansion opportunities. Create highly targeted segments to drive more contextual and personalized engagements.

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How Data Science and Modeling Can Supercharge Your Risk Management

Speaker: Dr. Ken Fordyce, Solutions Director, Supply Chain and Advanced Analytics at Arkieva

Creating a successful plan demands a thoughtful combination of data science and computational models to anticipate structural weak points. How to avoid data-driven disasters. What structural data quality is and why it limits rapid intelligent response (RIR).

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Guide to Mathematical Optimization & Modeling

For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Learn all about this AI technique and how it can help your organization.

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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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4 Expert Strategies to Negotiate Your Carrier Contract Like a Pro

Learn how to analyze your shipping operations data to: Identify areas of impact and take action to lower expenses Assess base discounts, minimum charges, dimensional weight, surcharges, and commitments Model operational data to visualize future decisions and market changes

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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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.