Modeling Software Related Topics 
Logistics Viewpoints
FEBRUARY 17, 2025
Ted Krantz, CEO of Interos Interos , a company providing supply chain resilience and risk management software, emailed me to say that there was a supply chain risk everyone seemed to be ignoring – AI-related risks. The AI-related risks include data poisoning and model corruption. It is well known that ChatGPT can hallucinate.
Logistics Viewpoints
NOVEMBER 11, 2024
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Warehouse management systems rely on RF scans of locations and products. trillion rows of data into the platform. “So
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Logistics Viewpoints
NOVEMBER 6, 2024
Similarly, UPS uses its ORION system, which integrates real-time and historical data to optimize delivery routes, saving fuel and enhancing delivery reliability. Enhanced Efficiency Through Real-Time Data Connected vehicle technology drives efficiency improvements across route planning, driver safety, maintenance, and fuel management.
Logistics Viewpoints
DECEMBER 2, 2024
During COVID, this more agile and resilient model allowed the firm to grow their market share. Jack Fiedler : We’re unique in the technology industry. We’ve taken the same hybrid approach from a supply chain technology perspective. I’m responsible for the overall digital transformation, including technology.
Advertiser: GEP
Multiple legacy systems prevent procurement from standardizing processes and tracking what they’re spending with each supplier. For global manufacturers, managing direct and indirect material spend can get very complicated very quickly.
Logistics Viewpoints
DECEMBER 18, 2024
CTSI-Global operates at the intersection of logistics and technology, focusing on solutions that address the challenges of transportation management. Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency.
Logistics Viewpoints
JANUARY 21, 2025
Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal.
Advertiser: GEP
Drawing on our work with global companies across manufacturing, automotive, pharmaceuticals, semiconductors, software, technology, financial services, and a range of service industries, we outline the key strategic and tactical actions companies are taking to navigate this period of heightened uncertainty.
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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. Are evaluating tools and implementation approaches. Want a high level understanding of typical use cases for mathematical optimization.
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Scenario modeling is emerging as a key capability. To help you start 2021 strong, we updated our popular Buyer's Guide for Supply Chain Network Design Software with research insights and learnings. The Current Technology Landscape: Perceptions on network design technology. What’s inside?
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Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Modeling your base case. Modeling carbon costs. What's inside? Scenario analysis and optimization defined.
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This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. This report is useful if you are interested in: Exploring new network design insights and capabilities.
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. Don't let uncertainty drive your business.
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Companies are now running models on a quarterly basis, and sometimes more frequently, to adjust to changes in their business landscape. Analysts who are moving from spreadsheets to more advanced modeling tools. That’s what Supply Chain Network Design is all about. Rising volatility and uncertainty have changed that.
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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. Imbalance in product lines, creating asset underutilization.
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