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Supply Chain Design: A Tool to Help Maximize Value

Logistics Viewpoints

Do we have a demand forecasting tool in place and, if so, how good is that forecast? For example, we can have “Texas Small Volume” customers and “Florida Peak Season” customers, or “East Coast High Margin” customers and “Carolinas High Priority” customers. First comes the data and how well we understand it.

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Artificial Intelligence: An Essential Tool for Digital Supply Chains

Enterra Insights

For example, Rakesh Prasad , Senior Vice President for Digital Business at Innover, observes, “Businesses are looking to deploy adaptive Digital Supply Chains that are equipped to deal with uncertainties and can process and analyze vast quantities of fast-moving data from connected systems using AI/ML & analytics. ”[5].

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AI in the Retail Industry: Benefits, Case Studies & Examples

ThroughPut

AI tools use historical data and current trends to understand demand with higher precision helping meet customer needs without overstocking or falling short on stock. Dynamic Pricing If you want to adjust the prices of your products dynamically, AI tools are the best. The tools are powered by sophisticated recommendation algorithms.

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6 Powerful B2B CRM Strategies for Wholesalers & Manufacturers [+ Examples]

Unleashed

Unlike regular CRM tools, B2B CRM systems are specifically designed to aid the internal processes of businesses selling to other businesses. Analyse customer data “Without B2B CRM tools, sales teams waste time running multiple Excel reports to gather and build customer insights.” Consultant Manager, ProspectSoft.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Tools of the Trade: How to Compare / Combine Diverse Time Series – “Normalizing”

Arkieva

This blog provides an example of one method called normalization. Tools of the Trade: How to Compare / Combine Diverse Time Series – “Normalizing” was first posted on May 12, 2021 at 8:04 am. A reoccurring challenge in comparing and combining diverse time series in demand forecasting is the “scale” – as it is in combining metrics.

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5 Tips to Leverage Digital Tools to Deliver Tangible Sustainability Improvements

ivalua

As the sourcing function evolves, digital procurement technologies have become crucial tools for buyers to capture and report their sustainability achievements. What the tool really gives them is an architecture for collaborative data from multiple sources, including the buyer, the supplier, and other internal and external stakeholders.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

Don’t have the right tools/tools are too complex or expensive. Paul and Brian discuss how to tackle these obstacles, outline steps you can take to begin the journey and share examples of how running what-if scenarios can help you get the answers you need more quickly. Lack of skilled resources. Lengthy time to plan/execute.

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Real-Time Trackers: A Welcome Labor Solution for Logistics

To combat the effects of the tightening labor market, agile logistics companies are focusing their efforts on adopting tools and processes that drive efficiency and help their operations’ teams tap into shared industry resources. Why streamlining data simplifies the logistics role.

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Building AI to Unlearn Bias in Recruiting

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.