demand planning inventory & supply chain optimisation. · oracle certified and integrates with...

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MACHINE LEARNING. NEURAL NETWORKS. AI CAPABILITIES. DEMAND PLANNING INVENTORY & SUPPLY CHAIN OPTIMISATION. Inventory Optimisation Optimises the relationship between costs, constraints, risks and service levels Machine Learning, Neural Networks & Artificial Intelligence (AI) Calculates the optimal inventory for each item in each location to achieve service level targets at the lowest total cost Inventory Policy Optimisation Achieves service levels targets by comprehensively managing sources of demand and supply chain risk. Differentiators Machine Learning, Neural Networks & Artificial Intelligence (AI) Leading demand pattern recognition capabilities Superior variability management to meet Service Level goals Powerful algorithms optimise a complete set of costs to maximise profit Increases plan accuracy by integrating leading indicator information and market knowledge Synchronises planning including resources, capacity & sales plans Offers a new level of automation and intelligence in planning Rapid, proven ROI and results-based implementation options Demand Planning 40+ forecasting algorithms - auto-selects for each item in each location Able to forecast a broad range of demand patterns and detect changes Leading Indicator Analysis - ability to incorporate market intelligence such as price changes, competitor activity and interest rates Machine learning & Neural Networks Event management Item supersession Replenishment Optimisation Exception-based, cost optimised and sequenced replenishment recommendations Automatic order-minimum-adherence, price breaks, substitutions, and alternate supplier decisions Machine Learning, Neural Networks & Artificial Intelligence Optimised capacity level-loading & pre-builds to increase service & reduce overtime Profitable inventory rebalancing across the entire network Cross Docking, Flow Through, Container Building & Port of Origin Consolidation Rated as the leading solution in Gartner Research’s Magic Quadrant for Supply Chain Planning (SCP)

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Page 1: DEMAND PLANNING INVENTORY & SUPPLY CHAIN OPTIMISATION. · Oracle certified and integrates with ERP systems including JDE, etc Intuitive user interface and improved planner productivity

MACHINE LEARNING.NEURAL NETWORKS.

AI CAPABILITIES.

DEMAND PLANNING

INVENTORY &

SUPPLY CHAIN OPTIMISATION.

Inventory Optimisation● Optimises the relationship between costs, constraints, risks

and service levels● Machine Learning, Neural Networks & Artificial Intelligence

(AI)● Calculates the optimal inventory for each item in each

location to achieve service level targets at the lowest totalcost

● Inventory Policy Optimisation● Achieves service levels targets by comprehensively managing

sources of demand and supply chain risk.

Differentiators● Machine Learning, Neural Networks & Artificial Intelligence (AI)● Leading demand pattern recognition capabilities● Superior variability management to meet Service Level goals● Powerful algorithms optimise a complete set of costs to maximise

profit● Increases plan accuracy by integrating leading indicator information

and market knowledge● Synchronises planning including resources, capacity & sales plans● Offers a new level of automation and intelligence in planning● Rapid, proven ROI and results-based implementation options

Demand Planning● 40+ forecasting algorithms - auto-selects for each item in each

location● Able to forecast a broad range of demand patterns and detect

changes● Leading Indicator Analysis - ability to incorporate market

intelligence such as price changes, competitor activity and interestrates

● Machine learning & Neural Networks● Event management● Item supersession

Replenishment Optimisation● Exception-based, cost optimised and sequenced

replenishment recommendations● Automatic order-minimum-adherence, price breaks,

substitutions, and alternate supplier decisions● Machine Learning, Neural Networks & Artificial Intelligence● Optimised capacity level-loading & pre-builds to increase

service & reduce overtime● Profitable inventory rebalancing across the entire network● Cross Docking, Flow Through, Container Building & Port of

Origin Consolidation

Rated as the leading solution in Gartner Research’s Magic Quadrant for Supply Chain Planning (SCP)

Page 2: DEMAND PLANNING INVENTORY & SUPPLY CHAIN OPTIMISATION. · Oracle certified and integrates with ERP systems including JDE, etc Intuitive user interface and improved planner productivity

IndustriesGAINS is proven in multiple industries including:

● Retail● Distribution● Manufacturing/Industrial● Defence & Aerospace, Automotive● Health & Pharma● Maintenance, Repair & Overhaul (MRO)

Some key Australian GAINS implementations in Australia includeOfficeworks, Wesfarmers Industrial & Safety (Blackwoods),7-Eleven, Telstra Retail, Aurizon, Laminex, The Reject Shop,EBOS/Symbion Pharmacy Services and Honda Australia.

Sales, Inventory & Operations Planning● Integrates Demand, Inventory & Supply planning across multiple

horizons● Machine Learning, Neural Networks & Artificial Intelligence (AI)● Exception based● Powerful scenario planning & “what if” simulations● Multi-dimensional performance measurement● “One version of the truth”

Technology● Fully scalable – conducts daily planning in environments

where item/location combinations exceed 30m+● Net change and real time processing● Cloud deployment & Software as a Service (SaaS) options –

leveraging pre-built data extraction tools to obtain rapidimplementation and time-to-value

● Easy integration with ERP & transaction systems – SAP andOracle certified and integrates with ERP systems includingJDE, etc

● Intuitive user interface and improved planner productivity● Workflow management via prioritized exception based

planning portal● Integrated dashboards and reporting

Supply Chain Optimisation● Distribution Requirements Planning (DRP)● Sourcing Optimisation – determines the supplier(s) that

provide the lowest-total-cost supply, including solving for thetrade-off of unit cost, purchase minimums, and lead time

● Machine Learning, Neural Networks & Artificial Intelligence (AI)● Network Flow Optimisation – determines which supply route

provides the lowest-total-cost supply, considering lead times,minimums (line-item and PO-level), handling, andtransportation costs

● Multi-echelon/ Stocking Policy Inventory Optimisation –determines whether or not to stock an item and at whatservice level. Solves for interdependencies among stockinglocations and/or within the bill-of-materiel (BOM) to establishpostponement strategies and address customer expectationsto minimise cost or maximise profit

Implementation● In Partnership with GRA Supply Chain Consultants,

implementations as quickly as 12 weeks● Focus on building process and planning team capability, user

acceptance and sustainable results delivery● We work side-by-side with you during the implementation

process and provide post-implementation support to ensurethe new process are confidently embedded

Typical Benefits● Proven, rapid ROI● Results based implementation options● rapid, sustainable cash generation● average 20:1 return in first 12 months● 20-40% inventory reduction● sustainable, controllable service level improvements● 5-15% reduction in inventory and supply chains costs

Find out more about GAINS in Asia Pacific

GRA Supply Chain Consultants110 Jolimont RoadEast Melbourne, Vic 3002, Australia

+61 (3) 9421 4611 | [email protected] | www.gains.net.au

“GAINSystems has a strong vision for the digital supply chain twin.This is coupled with an above-average vision for continuous planning,the use of advanced analytics and particularly machine learning, and

alignment with financial planning decisions.”

Gartner’s Magic Quadrant for Sales& Operations Planning Systems of Differentiation