Logistics Viewpoints
NOVEMBER 11, 2024
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.
AIMMS
AUGUST 14, 2024
Our network design data model is designed around Supply Chain entities you will recognize, customers, warehouses, suppliers, production and transport lanes.
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The Logistics of Logistics
MAY 18, 2022
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.
The Logistics of Logistics
NOVEMBER 19, 2021
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.”.
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.
Logistics Bureau
NOVEMBER 12, 2024
Essential Steps to Using Warehouse Modeling Software for Design 1) Understand the Design Objectives and Constraints The first step in your review should be to determine and prioritise the objectives for your warehouse facility and operation.
Logistics Viewpoints
JULY 23, 2024
Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.
Advertiser: ZoomInfo
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.
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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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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“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.
Advertiser: Sifted
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
Advertiser: ZoomInfo
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.
Advertiser: GEP
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.
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.
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