Berggård Amundsen cuts inventory value 12% across stores and DC with RELEX AI forecasting

Berggård Amundsen deployed Machine Learning & Predictive Analytics for Inventory Optimization in Warehousing & Distribution. As reported by RELEX Solutions: 12% reduction in inventory value 10 months after go-live.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
12%Reduction in inventory value 10 months after go-live
18 weeksImplementation time

Source-reported figures (cited source: RELEX Solutions)

What Berggård Amundsen was trying to fix

Berggård Amundsen, an independent Norwegian electrical wholesaler founded in 1946, serves professional customers through 27 stores and an assortment of 146,000 SKUs. It wanted to improve inventory control and streamline operations across its Langhus distribution center and ProffPunkt retail locations.

What Berggård Amundsen deployed

The company implemented RELEX's AI-powered forecasting and replenishment platform in an 18-week project. The platform analyzes demand patterns, optimizes replenishment and reduces waste, adapting continuously to changing demand so the right products are available at the right time, avoiding stockouts and overstocking.

Results

Just 10 months after going live, Berggård Amundsen had cut inventory value by 12% across its stores and distribution center. It says it reduced excess inventory while maintaining high service levels, lowering inventory overhead costs and improving product availability. Its logistics director said results far exceeded expectations, with improvements visible almost immediately after launch.

Key Takeaways

  • A short, focused implementation can deliver results quickly when the business has a clear strategy and trusts the process.
  • Hold service levels steady while cutting stock, so inventory reductions do not come at the cost of availability.
  • Apply AI forecasting and replenishment across both the distribution center and the store network to see the full inventory effect.

Evidence for Berggård Amundsen's Inventory Optimization deployment

Reported outcome metrics
2 cited below
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RELEX Solutions
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