Blue Yonder GmbH
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Customers who work successfully with Blue Yonder

 

 

 

“The essential advantage of incorporating Blue Yonder into the return predictions is that, for the first time, structured and unstructured data relating to returns can be linked to one another. The resulting analysis possibilities offer great potential.“

Alexander Pompös, Project Manager Offer and Category Control at OTTO

Case Study



OTTO

Closed loop approach
Read the case study

Strategischer Einsatz von Dynamic Pricing bei der OTTO Group

The strategic usage of dynamic pricing at Otto Group
Absatzplanung bei der OTTO Group

How OTTO improves its demand planning with Blue Yonder

 

 

 



“Forward Demand gives us accurate demand forecasts so that we can minimize our leftover stock.”

Jan Meier, CIO at Natsu

Natsu

Precise sales planning with
Forward Demand
Read the success story

Video Natsu Foods

Natsu optimizes its sales planning with Blue Yonder

 

 

 

Heine


“Even small improvements in prediction at the item level increase Heine’s profits significantly, since transport costs are reduced and departments can make decisions sooner.”

Arno Ritthaler, Division Manager Category Management Service, Heine

Heine

Demand-driven replenishment
Read the success story

Heine

Heine optimizes purchasing and reduces transport costs with Blue Yonder forecasts

 

 

 

More success stories

BGV Breuninger dm dunnhumby

Insurance company BGV uses Blue Yonder to determine risk of contract termination and to offer each customer the right premium

 

Read the success story

Fashion & Lifestyle Retailer Breuninger anticipates future demand and replenishes stock at optimum level

 

Read the success story

dm-drogerie markt (drugstore)
Efficient employee deployment planning thanks to exact forecasts

 

Read the success story

Tesco Subsidiary and IT Service Provider dunnhumby increases customer loyalty and overall basket spend

 

Read the success story

Kaiser´s Tengelmann next sportscheck OTTO

Kaiser’s Tengelmann automates replenishment of goods with Blue Yonder


Read the success story

Next Plc, one of the UK’s largest fashion retailers, reports an uplift in sales using Blue Yonder

 

Read the success story

Sports & mail-order retailer SportScheck improves forecast quality for online shop by up to 40 percent

 

Read the success story

Fashion & Lifestyle Retailer OTTO improved its forecasts and reduced its return quotas with Blue Yonder predictions

Read the success story “Improved sales forecasts”

Read the success story “Reduced return quotas”

 


BGV

Insurance company BGV uses Blue Yonder to determine risk of contract termination and to offer each customer the right premium

 

Read the success story

Breuninger

Fashion & Lifestyle Retailer Breuninger anticipates future demand and replenishes stock at optimum level

 

Read the success story

dm

dm-drogerie markt (drugstore)
Efficient employee deployment planning thanks to exact forecasts

 

Read the success story

dunnhumby

Tesco Subsidiary and IT Service Provider dunnhumby increases customer loyalty and overall basket spend

 

Read the success story

Kaiser´s Tengelmann

Kaiser’s Tengelmann automates replenishment of goods with Blue Yonder


Read the success story

next

Next Plc, one of the UK’s largest fashion retailers, reports an uplift in sales using Blue Yonder

 

Read the success story

sportscheck

Sports & mail-order retailer SportScheck improves forecast quality for online shop by up to 40 percent

 

Read the success story

OTTO

Fashion & Lifestyle Retailer OTTO improved its forecasts and reduced its return quotas with Blue Yonder predictions

Read the success story “Improved sales forecasts”

Read the success story “Reduced return quotas”

 


More predictive enterprises

Axel Springer Bauhaus Bosch en Bürgel Central Coca Cola Crate & Barrel Delikant Feinkost e on EOS Henkel AG & Co. KGa Kremer Lufthansa Systems Müller Quelle real Schwab Vodafone Witt Weiden

 

 

 


Customer projects

 
  • Individual product predictions for more than 700 locations
  • 35 million location-product combinations
  • 30,000 predictions per second
  • 300 million data sets evaluated weekly
  • 5 billion individual forecasts annually
  • 20% reduction in surplus stock
  • 2 million article returns avoided
  • 14% avoidance of write-offs
  • 9.5% reduction in tied-up capital
  • 1.3% increase in sales due to improved deliverability
  • Increase in sales of approx. 40 million euros (EBIT)
  • Individual product predictions for more than 700 locations
  • 35 million location-product combinations
  • 30,000 predictions per second
  • 300 million data sets evaluated weekly
  • 5 billion individual forecasts annually
  • 20% reduction in surplus stock
  • 2 million article returns avoided
  • 14% avoidance of write-offs
  • 9.5% reduction in tied-up capital
  • 1.3% increase in sales due to improved deliverability
  • Increase in sales of approx. 40 million euros (EBIT)
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