Integrate data to create a dynamic supply chain that meets fast-changing needs.

Today’s supply chains must overcome continuous and rapid change.

Pervasive digitalization. Multiple delivery channels. New entrants to the market that have retrained consumers to expect on-demand access. A pandemic accelerating trends. All of these factors are coming together to create challenges for supply chains.

dynamic supply chain architecture

Get the blueprint for dynamic supply chains.

Explore how to create accurate and reliable forecasts and demand plans, and optimize analytics, for supply chains. This detailed architectural blueprint shows how organizations with Teradata VantageCloud™ can: 

  • Meet and exceed customer expectations
  • Maintain cost excellence
  • Improve a company’s sustainability footprint
  • Optimize omnichannel inventory
dynamic supply chains can better forecast consumer demand

Customers want instant gratification.

Customers expect to buy the latest products on-demand, through their preferred delivery channel. This challenges supply chains to have the right product in the right place at the right time, and at a competitive price.

Solving this challenge requires retailers, consumer packaged goods (CPGs), and other industries to bridge the gap between lead times and consumer expectations.

Dynamic supply chains use data insights to predict customer behaviors

Still using seasonal trends and legacy buying habits to predict consumer needs?

Customer behaviors are constantly changing. Making buying predictions based on simple drivers such as seasonality and previous purchasing habits alone are too slow moving to meet the needs of modern companies.

Today’s complex environment requires a shift from basic forecasts and demand plans to a dynamic, agile supply chain that’s continuously optimized based on real-time data insights.

Dynamic supply chains use data insights to predict customer behaviors

Create the supply chain of the future.

Organizations can modernize their supply chain by moving to:

  • Forecasts that refresh at or near real time
  • Integration of all data, including new data
  • Better predictability using clear signals
  • Multi-layered models that identify changes as they occur

Forecasting and demand planning accuracy is one aspect of an efficient and predictive supply chain. This enables a dynamic supply chain that strategically balances customer expectations for high service levels with cost, quality, sustainability, resilience, and agility. 

Check out additional resources around dynamic supply chains:

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