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AI-Driven Demand Forecasting Improving Forecast Accuracy with 10%+

30 Apr 2025

The customer

Straumann, a Swiss leader in dental implants and technology, specializes in research, development, and manufacturing. As it continues to grow globally, Straumann is expanding its offering in innovative products for replacement, restorative, orthodontic, and preventive dentistry.

Challenges

  • Straumann has been growing through organic and inorganic growth, acquiring brand and business globally
  • Each brand and business unit functioned differently, resulting in a scattered mix of global and regional planners
  • Ongoing supply chain and SAP S/4HANA transformation marked by numerous initiatives competing for resources & priority
  • Limited forecast accuracy with lack of standard tool to support complexity
  • +30% SKUs without volume planned in markets
  • Poor production capacity usage

Solutions

Anaplan Implementation – System Enablers

  • AI (PlanIQ) for baseline forecasting
  • Forecast Value Add (FVA) for continuous improvement

Design Principles

  • Clear user experience
  • Repeatable workflow
  • Exception-based planning
  • Scenario management

Results

  • Global process & organization established with standard way of working, aligned across regions and brands

  • End-to-End Roadmap: inventory management, distribution requirements planning, RCCP & IBP

  • Anaplan Center of Excellence in place with own Straumann model builders

  • Best practice demand planning process & organization has been installed based on industry standards

  • 15% increase in baseline forecast accuracy through machine learning algorithms

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