June 18, 2019
1PM CDT // 11 AM PDT

Supply Chain Logistics & Planning with Graph + ML

June 18, 2019 - 1 PM CDT // 11 AM PDT

Understand the differences between supply chain visibility, traceability, and transparency. Learn what graph is and how it can create a unified view across digital and physical supply chain processes, yielding more prescriptive supply chain decision making. Use Graph + ML to improve demand forecasting and production planning, while reducing inventory and operating costs. Focus areas include: inventory, routing, predictive analytics, device & fleet management, materials, and more.

Cut Costs & Optimize Revenue with Supply Chain Technology

Copyright © 2019 Expero - All rights reserved.

Supply Chain Logistics & Planning with Graph + ML

June 18, 2019 - 1 PM CDT // 11 AM PDT

Understand the differences between supply chain visibility, traceability, and transparency. Learn what graph is and how it can create a unified view across digital and physical supply chain processes, yielding more prescriptive supply chain decision making. Use Graph + ML to improve demand forecasting and production planning, while reducing inventory and operating costs. Focus areas include, inventory, routing, predictive analytics, device & fleet management, materials, and more.

Cut Costs & Optimize Revenue with Supply Chain Technology

INCLUDED TOPICS:

  • Technology -  Discuss how to quickly integrate Graph & Machine learning to existing technology platform stack.
  • Accuracy - Timely delivery projections result in fewer rushed shipment charges.
  • Efficiency - Utilize Graph to optimize distribution & scheduling, and reduce delivery times, costs and turnover.
  • Adaptability - Dynamic rules that predict and react to adverse events and conditions.
  • Analytics - Assess impact, manage events and supply and demand variability using ML algorithms.
  • Optimization - Cut costs and manage turnover with dynamic routing.
  • Machine Learning - Deploy adaptive systems to perform under changing conditions.

Brian is a seasoned veteran in project management and solutions. He architected and managed solution implementations for dozens of telecommunications, insurance, banking, financial services, retail and high tech customers in the Fortune 500. Brian was also responsible for product strategy and customer support as Chief Product Officer at Iconixx. Here at Expero, Brian works on special projects including our growing supply chain resources. Outside of work he enjoys spending time with his wife and two sons.

INCLUDED TOPICS:

  • Technology -  Discuss how to quickly integrate Graph & Machine learning to existing technology platform stack.
  • Accuracy - Timely delivery projections result in fewer rushed shipment charges.
  • Efficiency - Using Graph, get better distribution and scheduling to reduce delivery times, costs and turnover.
  • Adaptability - Dynamic rules will predict and react to adverse events and conditions.
  • Analytics - Assess impact, manage events and supply and demand variability using ML algorithms.
  • Optimization - Cut costs and manage turnover with dynamic routing.
  • Machine Learning - Deploy adaptive systems to perform under changing conditions.

This Webinar is Presented by: 
Brian Thompson

Supply Chain: 
Transportation & Logistics 

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