Optimization Modeling Related Topics 
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.”.
Locus
JULY 25, 2023
“E-commerce is becoming a reality,” the management consulting company stated, “reinventing consumers’ path to purchase, forming new customer experiences , disrupting business models, and creating growth opportunities for large and small retailers as well as for a new generation of pure E-commerce players.”
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Logistics Viewpoints
MAY 19, 2022
Supply chain optimization has also improved in significant ways that can address these trade-offs better than before. Analytical techniques like linear programming can create the mathematically “optimal” plan, but these methods must be implemented well to avoid creating other challenges. Supply chain optimization for today’s realities.
AIMMS
JUNE 16, 2020
How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.
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.
Locus
JULY 24, 2023
Retailers should find ways to optimize truckloads to reap benefits. However, trucking industries have many business models they operate by. How do we optimize these loads? Shippers need to leverage automated and intelligent solutions to truly optimize the supply chain and impact the bottom line in a positive way.
AIMMS
NOVEMBER 9, 2020
Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Specifically, we looked at three use cases for scenario modeling using our cloud-based IBP app. The post IBP Scenario Modeling for Recovery, Restructuring and Resilience appeared first on AIMMS SC Blog.
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Explore the most common use cases for network design and optimization software. Scenario analysis and optimization defined. Modeling your base case. Optimizing your supply chain based on costs and service levels. Optimizing your supply chain based on costs and service levels. Modeling carbon costs.
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Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities on the front end and powerful mathematical optimization on the back end. Answer 10 relevant questions and find out if your needs qualify for advanced network design & scenario modeling technology.
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.
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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. This guide is ideal if you: Want to understand the concept of mathematical optimization.
Advertiser: ZoomInfo
Every sales forecasting model has a different strength and predictability method. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. It’s recommended to test out which one is best for your team. Your future sales forecast? Sunny skies (and success) are just ahead!
Speaker: Aanand Pandey and Catalina Perez
Start optimizing your supply chain! Finding optimal locations for plants and other resources. Modeling carbon cost. Need to lower your supply chain costs, speed up delivery times or decrease carbon emissions? Watch this webinar to hear about impactful use cases from 4 large customers, including: Opening/closing of DCs.
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Artificial intelligence designed for demand planning brings the following benefits: Immediate forecast error reduction of 15-40%: this drives optimal service & stock levels. No onboarding time since the models are self-tuning: say goodbye to long & costly implementation times.
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