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  • Faced growing complexity both down and upstream
  • ToolsGroup helped overcome high volumes, long-tail SKUs and extreme demand volatility
  • Dramatically cut forecast error, “unhealthy” inventory and wasted effort
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  • Improved forecast accuracy by 10%
  • Raised handset availability service levels to 97% in the warehouse and 96% in retail stores
  • Decreased days of stock by nearly 30%
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  • Daunting supply chain with multi-echelon distribution network
  • Reliably modelled variable demand and extreme seasonality
  • Improved inventory and service across end-to-end supply chain
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  • "Low hanging fruit" improvement in inventory done, needed smarter technology
  • Deployed inventory optimisation bolted on to SAP ERP and Manugistics SCP
  • Achieved extremely high (99+%) service levels with significantly less inventory
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  • Very heterogeneous product mix, including fashion items with high seasonality and short lifecycles
  • Global distribution network, including 26 distribution centers
  • Reduced stock and dramatically cut manual interventions, while maintaining high service levels
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  • Machine telemetry data from 3000 self-serve coffee supports demand-driven auto-replenishment
  • Costa achieved growth targets 3 years ahead of schedule without adding headcount
  • 20% reduction in field stock held at partner sites and 30% reduction in annual logistics costs
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  • New demands prompted raise in targets for first time availability
  • Machine learning identified new categories or “clusters” of demand behaviour
  • Reduced inventory while immediately improving service levels
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  • SO99+ creates a highly reliable demand plan for perishable, highly promoted dairy products
  • Thousands of promotions per year cause demand peaks that can exceed many times baseline sales
  • Machine learning technology translates historical data into reliable estimates of future promotions
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  • Aftermarket parts required high customer service levels, including 15 year-old products
  • Analytical models generated replenishment proposals for SAP ERP
  • Realised excellent customer service level and sustained inventory improvement
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  • Needed new approach to managing spares inventory
  • Optimised replenishment with SKU-level demand variability analysis
  • Dramatically improved service over next two years 
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  • Business models that vary by channel–B2C, B2C direct e-commerce, direct retail
  • Remarkable 70% improvement in sales forecast accuracy
  • Increased shelf fill rates reduced lost sales at point of sale, and lower inventory
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  • Large spare parts distribution network with a continuously evolving catalogue and many low demand items
  • Just two planners now required to manage 200,000 diverse SKU-Locations
  • Increased service level by 9.6% and freed up $3 million in working capital
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  • Needed efficient and optimised replenishment of nine secondary warehouses from central distribution
  • SO99+’s flexibility made for straightforward SAP ERP integration
  • Service level improved while reducing inventory
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  •  New supply chain planning system for United Kingdom’s blood supply
  • Transitioned from a push approach to a demand-driven ‘pull’ model
  • Ability to respond faster and support patients with complex requirements
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