Big Data

In this webinar, we’ll dive into real-world examples of how manufacturers are leveraging real-world data, a unified data cloud, and industry-leading AI & ML to reimagine the way they manage their supply chains.

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While most CPG and Retail companies already have had sustainable goals such as recycled packaging content and becoming more energy efficient, they are being compelled to lead more in this effort and take more aggressive goals that make a difference.

The pressing need for agile and resilient decision-making has made AI essential for supply chain management; as a result, most executives are no longer asking whether to invest, but where to invest.

Our annual look at the software market shows how companies are using software and automation solutions in their warehouses and DCs and how they plan to put these tools to work in the future.

The study outlined in this paper serves as a blueprint for how to prepare for future disruptions, whether they come from competition, technology, climate, pandemics, economic turmoil, trade wars or any other challenge.

enVista's interactive 2022 Throughput Benchmark Guide provides you with updated competitor data.

In today’s interconnected world, data protection and cybersecurity are essential to manage supply chain risk. Fifth in a five-part series exploring the critical role of data in a digital supply chain transformation

Supply chains are becoming powerful sources of data. Governance and stewardship are critical issues for business leaders. Fourth in a five-part series exploring the critical role of data in a digital supply chain

Today’s harsh reality is that supply chain practices in healthcare seriously lag those in other industries.

The market has no lack of robotics solutions. To find the right robotics fit for your operation, best practices include having a solid handle on internal data like product dimensions, order profiles and peak requirements.

The market has no lack of robotics solutions. To find the right robotics fit for your operation, best practices include having a solid handle on internal data like product dimensions, order profiles and peak requirements.

While inventory management is complex, gathering, prepping, blending, analyzing, and auditing your data shouldn’t be.

Executives say that cultural challenges, not technological ones, represent the biggest impediment around data initiatives.

The Journey to Becoming Data-Driven: Executive Summary of Findings and a Progress Report on the State of Corporate Data Initiatives with a Foreword by Thomas H. Davenport and Randy Bean.