Implement iPaaS to Become a Data-Driven Enterprise
Supply Chain Brain
MARCH 13, 2024
As Integration Platform as a Service develops, artificial intelligence and machine learning will continue to play a major role in data integration and analysis.
Supply Chain Brain
MARCH 13, 2024
As Integration Platform as a Service develops, artificial intelligence and machine learning will continue to play a major role in data integration and analysis.
Logistics Viewpoints
DECEMBER 15, 2022
quintillion bytes of data every day. For companies that want to go beyond the traditional spreadsheet, which cannot handle this ocean of information efficiently, statistical methods such as cluster analysis can help. What is Cluster Analysis? The retail industry is rich with data. On average, we humans generate 2.5
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FreightWaves SONAR
MARCH 14, 2024
Much has been made in recent weeks about supply chain data providers changing historical metrics. Well, maybe you should, since it’s the title of the blog…DATA INTEGRITY MATTERS! SONAR isn’t yet the longest-running or most-used data source in the trucking world (but we’re getting there!). Today, SONAR is made up of more than $1.7
Supply Chain Brain
OCTOBER 31, 2023
Data analysis can also be used to compare the performance of different facilities to understand where improvements need to be made. Companies considering technology investments to optimize DC operations should do so sooner rather than later.
Advertiser: ZoomInfo
It's quite a process for marketing teams to develop a long-term data management strategy. It involves finding a data management provider that can append contacts with correct information — in real-time. Not just that, but also ongoing data hygiene efforts to keep the incoming (and existing) information fresh.
Logistics Bureau
SEPTEMBER 4, 2023
Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.
Food Logistics
JUNE 26, 2023
CoPilot is a generative AI tool embedded in its freight management platform, ShipperGuide, that enables real-time data analysis and industry insights by harnessing the power of large language models.
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Gartner observes several trends in this market for data analytics and intelligence. One overarching theme is the convergence of analytics & BI, data science and AI. This report covers market analysis on: Supply chain specific market trends - what are supply chain organizations looking for?
Advertiser: ZoomInfo
you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement. This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E
Speaker: Hannah Testani, CEO of Intelligent Audit
It’s common to run into data overload throughout this process, leading to disparate systems, information silos, and the inability to navigate external challenges. The future of the supply chain industry will take the emotion out of decision-making by leveraging innovative technology to transform raw data into actionable intelligence.
Speaker: Irina Rosca, Director of Supply Chain Operations, Helix
Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). Focusing on this information once per month during the S&OP meeting is too late for all business units to align.
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
When you finally have the analysis, everything has changed, and it is no longer relevant. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality.
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