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Smarter insights with supply chain analytics

Analytics perspectives and solutions

While many business leaders consider their supply chain to be a source of financial risk, others see competitive opportunities. These perspectives and business cases show how new technologies–from smart sensors to advanced data analytics to cognitive computing–are transforming traditional linear supply chains into connected, intelligent, scalable, and customizable digital supply networks to help reduce costs and drive sustainable growth.

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Supply chain Insights

Embracing a digital future
Manufacturers slow to implement digital supply networks may risk being left behind. But how can company leaders know which digital technologies will yield the most business value, or whether the time is right to invest in making a change?
Following the digital thread
Join us in our eight-part exploration of the digital thread—a digitally enabled process with the potential to revolutionize design, production, and the supply chain as we know them. Produced in partnership with MIT Sloan Management Review, this documentary-type series follows a real application of the digital thread, from product design to production.
Industry 4.0 and the digital twin
As manufacturing processes become increasingly digital, the digital twin is now within reach. By providing companies with a complete digital footprint of products, the digital twin enables companies to detect physical issues sooner, predict outcomes more accurately, and build better products.
Digital supply networks strengthen procurement strategy
Procurement has grown significantly more strategic over the past twenty years—now, digital supply chain management and analytics are bringing new strength to that strategic role.
The rise of the digital supply network
Supply chains are traditionally linear, but today supply chains are transforming into dynamic, interconnected systems. These digital supply networks integrate information from many different sources to drive production and distribution, potentially altering manufacturing's competitive landscape.
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us-coffe-cup-white.JPG (100×100) Take 3: Aftermarket supply chain analytics: A case in point
Products fitted with sensors, monitors, and more are churning out a wealth of aftermarket data—data that manufacturers need to make sense of. Applying supply chain analytics to aftermarket data can help manufacturers address larger business issues by informing critical decisions and strengthening relationships across the entire supply chain.
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Vitamin D: Deloitte’s Analytics Blog

Read some of the latest Supply chain analytics blogs. Vitamin D delivers bold, real-world strategies and inspiring success stories to help organizations gain the insight-driven advantage and achieve better outcomes.

Supply chain case studies

Creating a culture of analytics at Cargill
Cargill Inc. is working to build a data-driven culture to unify its diverse business units and empower decision-makers with granular, actionable information and insights.

Analytics enabled: Getting value from every link
Using exploratory analytics techniques a leading beverage producer was able to take the first step in uncovering actionable opportunities that could deliver results in the near-term.

Product failure is not an option
A three-pronged solution addressing variability, visibility and velocity in the supply chain puts a CPG company on the path to $35M in cost-of-quality reductions.

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Supply Chain Solutions

Deloitte’s analytics solutions are designed to help supply chain leaders put their data to work solving challenges in targeted areas such as commodity volatility, demand forecasting, and supplier-specific issues. Here are just a few of the supply chain solutions we have to offer.

  • Digital supply networks: Organizations are achieving operational performance breakthroughs as digital supply networks enable supply network visibility—and unprecedented insights.
  • Inveritas™: Powerful inventory analytics designed to give rapid insight into exactly what inventory you need, why you need it, and how to make improvements.
  • Deloitte Lead Time Analytics: Utilizes advanced predictive analytics capabilities to predict and shorten lead times and reduce inventory.
  • Global Sourcing Insights: Helps identify the optimal manufacturing/supplier footprint, accounting for global, macroeconomic cost drivers, and qualitative influencers.
  • Warranty Cost & Claims Analytics: Accelerates warranty claims management process and uses predictive analytics to identify patterns which isolate anomalies in claims and uses those patterns to create rules which can be applied when assessing legitimacy of future claims.
  • Reliability Centered Maintenance Solution: Assists companies in maintaining and deploying assets and people efficiently to lower cost and improve ability to meet customer demand.

Learn more about our powerful suite of analytics solutions here.

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2017 cognitive technologies survey

Early adopters speak out on cognitive and AI
What do the most aggressive adopters of AI and cognitive technologies report based on their efforts to date? On everything from the impact on jobs to their specific goals and exactly which technologies they're using and much more, 250 leaders shared their views on this important business development just as it takes hold in the broader business world.

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Meet our leader

Sam Pearson

Sam Pearson

Principal | Deloitte Consulting LLP

Sam is a principal in Deloitte Consulting‘s Supply Chain practice who specializes in logistics and distribution. He has more than 20 years of experience in operational, technology, and strategy roles.... More

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