Solution Sheet – Business Process Analytics

Complex Decision Process Made Simple

Advanced analytics and big data applications are voted as the most important and frequently adopted digital capabilities. By 2023, at least 50% of large global companies will be using AI, advanced analytics and IoT in supply chain operations. Artificial intelligence (AI), advanced analytics and IoT are considered high-benefit technologies.

We are leaders in the field of supply chain analytics because of our highly experienced team and our partner- and technology ecosystems. We combine business processes with a data driven approach to create outcome driven synergies.

In short, we drive supply chain decision processes with analytics.

Data-Driven Solutions

Our 3 step approach

1. Discovery

Discover, within a business process, complex decisions that benefit from analytics support.

Outcome: estimated business case
Effort: half a day

 

2. Validation

Data collection and model creation for validation of decision support and business case.

Outcome: validated business case & plan of action
Effort: 2 weeks

 

3. Embedding

With the help of emerging technology validated business cases are realized within months.

Outcome: complex decisions made simple with analytics support
Effort: 2-3 months

Business Decisions & Processes Examples

Transport Sourcing Process

Complex decisions identified

  • What do expect to ship?
  • What trips should I offer to logistic service providers to ship my products?

Decision support created

  • Machine learning modelling that predicts leg utilization
  • Triangulation support suggest longer trips to bring down the costs per kilometer from the logistic service providers

Business value

  • Easier communication with LSP
  • Lower transport costs due to smart trips (up to 12%)

Proven Use Cases

Product Ordering Process

Complex decisions identified

  • What do I expect to sell?
  • What do I keep on stock?
  • What should I order?

Decision support needed

  • Advanced sales predictions with machine learning algorithms
  • Optimized inventory levels
  • Prescriptive analytics to suggest ideal (replenishment) orders

Business value

  • Higher sales (up to 30% less waste)
  • Less “no sell”
  • Increased process efficiency

Contact us

Take the first step in optimizing the supply chain and start delivering business value.

Request a discovery sessions

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Simplify complex decisions with your own data.

#UseCases

Dynamic pricing

Let our offerings dynamically reflect your supply chain capabilities.

Real-time scheduling

Decrease day of operation disruptions.

Predictive maintenance

Your assets communicate through data. Let’s listen!

40+ more use cases

Use cases per industry waiting to give you that extra edge.

Complex Planning Made Simple

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