A New Paradigm in
Supply Chain Performance

2

End to End
Supply Chain Modelling

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2

Automating
Network Configuration

2

Total Supply Chain Cost Modelling

Learn More >

2

Transforming
Supply Chain Performance

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Automating Network Configuration.

Orchestrated Intelligence doesn’t plan your supply chain. It sits alongside your existing planning system and ensures that this is set up in the most effective way. It enables you to have confidence that your supply chain plans are always optimal and In doing so it enables delivery of transformational improvements in both service levels and network costs.

Randomness into Form, Form into Configuration, Configuration into Savings and Profit

Supercharging your Planning System.

It does this by collecting information from multiple sources that determines both how the current system configuration is performing and how that can be improved. Identifying complex patterns, delineating relationships in data and comparing potential models is where AI can outperform humans. OI is able to construct every possible supply chain outcome and make an informed choice as to the best configuration for your organisation from the millions of options available across multiple dimensions of cost and service.

As well as modelling the supply chain, the tool measures performance against the optimal configuration, concurrently fine-tuning and continually recalibrating to take account of new data points and changes to underlying variability patterns and trends. As it models it also learns; self-correcting so that those choices improve over time.

Concurrent Modelling

The OI modelling engine utilises a multi-objective optimisation algorithm, which seeks to identify the best supply chain configuration across multiple dimensions such as service level, cost and speed.

The tool continually identifies patterns and relationships from the data whilst adapting to new trends and changing circumstances.

OI uses AI to shape resilient optimal end-to-end supply chains, measures impact and improves performance continually in real time whilst tracking benefit. In doing so, it answers questions, such as:

  • What is the best structure of my supply chain to meet my Customer demand?
  • What new trends in Customer demand requires a supply chain response?
  • How can we synchronise the best flow of product through the network?
  • What is the most suitable replenishment strategy for each item we sell?
  • Where should we produce product and how frequently?
  • Where should we hold stocks and how much should we hold?
  • What is the optimal safety stock to meet service and minimise cost?
  • What Min / Max stock levels should I replenish to?

Concurrent Modelling of Multiple Supply Chain Dimensions

The Orchestrated Intelligence capability models concurrently across multiple dimensions of interrelated supply chain variability considering an infinity of possible configurations as it optimises the entire network in real time.

Concurrent Modelling of Multiple Supply Chain Dimensions.

Replenishment Strategy

Replenishment strategy based on dynamic segmentation and modelling of production frequency to balance cycle stocks versus efficiencies. The process runs in conjunction with other modelling components as it simulates outcomes and selects the optimal configuration.

E2E Network Modelling

Simulates the E2E network building multiple realities of the potential future state and the cost and service implications of each. The model identifies the optimal E2E network generating recommendations on supply chain design stock levels, factory make frequencies and decoupling points for buffers.

Stock Levels

Real time analysis of safety stock levels based on segmented service level targets and demand and supply variability. The model uses an advanced simulation algorithm to build all possible SS levels and identifies the optimal based on service / cost targets.

Variablilty Analysis

The tool models current and future variability identifying patterns in the data classifying and projecting trends and using this information   to forecast future demand and project supply risks onto simulations of Segmentation, SS levels, replenishment strategies and end to end network design

Segmentation

Dynamic product segmentation based on key variables sales, margin, volatility, volume, product characteristics and customer becomes a key Input to the modelling results.

Concurrent Modelling of Multiple Supply Chain Dimensions.

Replenishment Strategy

Replenishment strategy based on dynamic segmentation and modelling of production frequency to balance cycle stocks versus efficiencies. The process runs in conjunction with other modelling components as it simulates outcomes and selects the optimal configuration.

E2E Network Modelling

Simulates the E2E network building multiple realities of the potential future state and the cost and service implications of each. The model identifies the optimal E2E network generating recommendations on supply chain design stock levels, factory make frequencies and decoupling points for buffers.

Stock Levels

Real time analysis of safety stock levels based on segmented service level targets and demand and supply variability. The model uses an advanced simulation algorithm to build all possible SS levels and identifies the optimal based on service / cost targets.

Variablilty Analysis

The tool models current and future variability identifying patterns in the data classifying and projecting trends and using this information   to forecast future demand and project supply risks onto simulations of Segmentation, SS levels, replenishment strategies and end to end network design

Segmentation

Dynamic product segmentation based on key variables sales, margin, volatility, volume, product characteristics and customer becomes a key Input to the modelling results.

Learn more about our Supply Chain Performance:

2

End to End
Supply Chain Modelling

Learn More >

2

Automating
Network Configuration

2

Total Supply Chain Cost Modelling

Learn More >

2

Transforming
Supply Chain Performance

Learn More >

Request a Demonstration

For a demonstration of our software, review a sample of our data outputs or talk to one of our team, fill in the contact form below:

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