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GAINS Australia Inventory Management

Inventory Optimisation

​Sustaining target levels of inventory and service simultaneously across complex multi-echelon bills-of-materials and distribution networks is tough. That’s why Inventory Optimisation with GAINS uses sophisticated, automated, proprietary algorithms that consider a comprehensive set of cost and source variabilities, including service-level goals, demand plan error and lead-time for every SKU by location across the enterprise.

Maximising Multi-Echelon Supply Chain Performance
By managing variability and uncertain demand, our customers improve service levels and reduce expediting while reducing inventory investment, minimising operating costs and maximising profit.
  • Maximise Return-on-Assets (ROA)
  • Cost-effectively manage and reduce risk
  • Balance inventories with service levels and demand, holistically
  • Find the optimal replenishment quantity and service stock parameters that minimise total annual costs
  • Determine the optimal service level and stocking policy for each SKU by location
  • Incorporate comprehensive error
  • Provide Multi-echelon Optimisation (MEO) setting the BOM level for stocking & postponement strategy
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The GAINS Inventory Optimisation proprietary algorithms include:
  • Inventory Policy Optimisation algorithms to precisely achieve targeted service levels by comprehensively managing sources of planning error. These include: demand plan/forecast error, lead-time variation, supply yield, and optimal ordering cycles
  • Service Level Optimisation algorithms that automatically determine service levels uniquely for each item to achieve an aggregate target while minimising or maximising a business objective, (e.g. minimised total cost, minimum inventory, specific inventory turns target, maximum profit, etc.)
  • Sourcing Optimisation algorithms that determine the supplier(s) that provide the lowest-total-cost supply, including solving for the trade-off of unit cost, purchase minimums, and lead time
  • Network Flow Optimisation algorithms that determine which supply route provides the lowest-total-cost supply, considering lead times, minimums (line-item and PO-level), handling, and transportation costs
  • Multi-echelon/ Stocking Policy Inventory Optimisation algorithms that determine whether or not to stock an item and at what service level. These solve for interdependencies among locations and/or within the bill-of-materiel (BOM) to devise postponement strategies and address customer expectations to minimise cost or maximise profit
GAINS AUSTRALIA

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​​​110 Jolimont Road
East Melbourne VIC 3002
hello@gains.net.au
 (03) 9421 4611
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​340 Darling Street
Balmain NSW 2041
hello@gains.net.au
(02) 9188 9362
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​10 Kennedy Street
Kingston ACT 2604​
hello@gains.net.au
(02) 6239 7731
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Level 10
15 Green Square Close
Fortitude Valley, Brisbane
QLD 4006  
hello@gains.net.au
(07) 3338 5632
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