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Pricing Optimization at Delly’s: A Case Study in Successful AI Enablement

Talking Logistics

This includes implementing Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Demand Planning, Inventory Management, Transportation Management, and Warehouse Management applications. After capturing many of.

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Supply Chain Case Study: the Executive's Guide

Supply Chain Opz

Analysis of case study is certainly one of the most popular methods for people from business management background. In order to accelerate the learning, this article has gathered 20+ most sought-after supply chain case studies, analyzed/categorized them by industry and the findings are presented.

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Cross Docking 101: What, Why and How? [with case studies]

Unleashed

Cross docking is when you receive goods from a supplier’s vehicle (train or truck) and move them directly onto an outbound vehicle to be transported to your customer – so there’s minimal to no storage time. The goods are sorted and transported to their final destination. Why is cross docking used?

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Primer for Control Layer Technology Platforms Applied to Warehousing and Customer Fulfillment Processes

Supply Chain Matters

Supply Chain Matters provides a first installment in a four-part technology market education series where we address the evolving use of Cloud based control layer technology platforms applied to warehousing and customer fulfillment processes. This initial posting provides readers with an overview and primer for this type of technology.

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Case Study: DSV Implements a Single-Instance Control Tower with a Global Footprint

DSV is one of the biggest names in transport and logistics, operating in over 90 countries with a global network of over 75,000 employees. The ambitious project would require extensive visibility and seamless coordination across expansive and dynamic networks.

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Machine Learning in Supply Chain: Definition, Uses, Case Studies

Unleashed

We also break down several case studies of companies currently using machine learning in their supply chain processes. Machine learning can improve the supply chain in numerous ways, from tracking and predicting warehousing needs to delivery optimisation, and customer demand forecasting. What is machine learning?

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Understanding the Profitability of Omnichannel Retail is a Problem

Logistics Viewpoints

But one thing you notice as you go to omnichannel software vendor’s web sites and examine customer case studies, the case studies may talk about retailers growing their revenues by 100% or more, but none talk about how much profitability grew. These new order fulfillment paths allowed retailers to rapidly grow sales.