EyeOn and Blenddata announce successful migration of Supply Chain Decision Intelligence platform to Databricks

EyeOn & Blenddata successfully migrated EyeOn’s Supply Chain Digital Intelligence platform to Databricks technology.

EyeOn and Caroz are joining forces to help businesses respond effectively to trade tariffs

Strengthen your supply chain using network optimization and scenario analysis to effectively respond to trade tariffs.

S&OP is broken in discrete manufacturing: can it be fixed?

Explore a more adaptive approach to S&OP that is specifically designed to address these real-world challenges.

S&OP is broken in discrete manufacturing: why it’s time for a new approach!

This article explains the complexities of intricate Bills of Materials (BOMs), limited visibility into cash conversion cycles, and fragmented data undermine the effectiveness of traditional S&OP. 

How to do ABC/XYZ segmentation properly for better inventory optimization

This article explains how to set up ABC/XYZ-segmentation in the right way and how to successfully implement inventory policies and service level differentiation in your organization.

The 5 phases of an advanced supply chain planning system implementation

Discover the future of advanced supply chain planning and learn about the 5-phase digital transformation framework.

Are all stages of your demand planning process adding value?

Optimize your demand planning process with EyeOn’s insights. Discover efficient strategies and best practices to enhance each component.

The role of advanced planning systems in your supply chain digital transformation

Discover why many supply chain leaders invest in the capabilities of their APS to accelerate their supply chain digital transformation.

Getting started with statistical models in demand planning

Introducing statistical models in demand planning will help you kickstart your forecast automation journey. Here’s how to get started.

The power of data in demand planning: facts, plans, indicators

Discover which essential role these 3 types of data play in a successful smart-touch demand planning set-up.

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