Why Spashta ?

A need for better supply chain decision making solutions. Our expertise spans all aspects of supply chains and our portfolio includes projects for some of the world’s largest organisations.

Optimizing network performance

A comprehensive range of supply chain services

The Problem

Traditional solutions for supply chain decision making are siloed in approach, inflexible, and with long implementations resulting in low adoption and ROI Users create their own 'Excel clusters' for day-to-day decision making despite having expensive implementations

Root Cause

Optimal SCM solution architecture requires Three Critical Dimensions: Supply Chain Domain, Mathematics & Software Technology Traditional solution providers have evolved organically and are good in one or two of these dimensions

Companies are getting low ROI from SCM software

why-spashta-b01-v01-min

Supply Chain Insights LLC, Supply Chain Planning Software Study May-July 2018

Spashta's Goal: Enable supply chain agility with an interactive, intelligent, decision-making platform

Companies are getting low ROI from SCM software

why-spashta-b02-v01-min

Supply Chain Insights LLC, Supply Chain Planning Software Study May-July 2018

Address global, full scale supply chain problems

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Respond rapidly to business challenges

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Enable dynamic & boundary less planning

• 5-15% improvement in cost, service level & inventory

• Manage risk & business cycles build supply chain agility

Spashta's edge in Solution Technology

Specific Solution Approaches

Supply Chain Network Design

Inventory Optimization

MILP Optimization

Stochastic Algorithms

Demand Planning

Production Planning & Scheduling

Statistical Algorithms

MILP Optimization & Heuristics

Distribution Planning

Container Load Optimization

Linear Optimization & Heuristics

Combinatorial Optimization

Dispatch Planning

Master Planning / Supply Planning

Combinatorial Optimization & Heuristics

Linear Optimization & Heuristics

E.g. Dimensions of a Master Planning Problem

Spashta's Solver Performance

Efficacy … consider all dimensions of the problem: self learning solvers
Speed … solve large & complex problems in minutes
Agility … perform rapid “what-if scenarios”, fine tune business rules, perform “anchored planning”

Sample Solver Run Statistics

# of Supply Chain Tiers4
# of Mfg Plants48
# of Stages of Capacity5
# of DCs93
# of Resource-Lines130
# of SKU-Locations124,333
# of Time Buckets60
# of Demands5,856,000
Shelf Life, Lot Size, Multi-modal Lead Times
MachineT2.2XL on AWS
Run Time6 min 29 sec

Specific Solution Approaches

Supply Chain Network Design

Inventory Optimization

MILP Optimization

Stochastic Algorithms

Demand Planning

Production Planning & Scheduling

Statistical Algorithms

MILP Optimization & Heuristics

Distribution Planning

Container Load Optimization

Linear Optimization & Heuristics

Combinatorial Optimization

Dispatch Planning

Master Planning / Supply Planning

Combinatorial Optimization & Heuristics

Linear Optimization & Heuristics

E.g. Dimensions of a Master Planning Problem

Spashta's Solver Performance

Efficacy … consider all dimensions of the problem: self learning solvers
Speed … solve large & complex problems in minutes
Agility … perform rapid “what-if scenarios”, fine tune business rules, perform “anchored planning”

Sample Solver Run Statistics

# of Supply Chain Tiers4
# of Mfg Plants48
# of Stages of Capacity5
# of DCs93
# of Resource-Lines130
# of SKU-Locations124,333
# of Time Buckets60
# of Demands5,856,000
Shelf Life, Lot Size, Multi-modal Lead Times
MachineT2.2XL on AWS
Run Time6 min 29 sec