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Driving a new age of
connected planning
Supply Chain 4.0
The future is already here… are you ready for it?
3
Supplychainshaman.com
http://www.supplychainshaman.com/new-technologies/my-take-the-role-of-anaplan-in-defining-the-art-of-the-possible-in-supply-chain-planning/
….So when you see the next Anaplan presentation that is high-level, glitzy
and full of buzzwords, don’t throw the baby out with the bath water.
Instead, put their capabilities to work. Fight the urge to squirm in your seat
and discount the validity of the technology (their presentations are some of
the worst in the industry). Instead, challenge Anaplan to help your
organization get free from the cage and define the art of the possible. I
think that it is worth the journey, but I would love to hear from you…..
Driving a new age of
connected planning
2011
commercial launch
20 offices
in 13 countries
75%+ FY17
subscription
revenue growth
(FYE January)
1000+
employees
in 14 countries
900+ customers
in over 40 countries
Partners
Best-in-class
250+
apps
Patented
in-memory data
engine
$120M FY17
total revenue
momentum
5
Supply Chain 4.0
Faster
Source: McKinsey
More flexible Granularity More accurate
Barriers that needs to be addressed:
Organizational
Silos
• Lack of visibility
• Sharing of Data
Data
• Inconsistency
• Quality
• Reconcile
Flexibility
• Dynamic changes
• Varying timeframes
• Different planning
levels
Technology
• Manually intensive
• Alignment tools
Workflow
• Different planning
horizons & cycle
times
• In ability to quickly
change pans
legacy vs Anaplan
ERP system
MES system
Transportation management system
Warehouse management system
MRP system
HCM tool
Microsoft (Excel®)
Financial planning system
CRM tool
S&OP
Management
reports
Inventory
management
MPS
Forecasting
tool
Strategic
pricing tool
Supply
optimization
tool
Order
fulfillment
tool
Single, secure
source of planning
and decision data
Greater
collaboration, deeper
insights,
faster alignment
Dynamic,
continuous planning
for any area of your
business
Across one
department or area
Across the company
One business process
Strategic Planning
Demand
Orchestration
Supply Network
Planning
Financial
Planning
Product Portfolio Planning
… achieve Connected Supply Chain Planning...
and much more!
Continuous Market
Intelligence
Continuous
Optimization
NPI/ EOL
Planning
Statistical
Forecasting
Merchandise &
Assortment
Planning
Inventory
Planning
Executive S&OP
Contribution
Margin Analysis
Financial
Forecasting
Demand
Planning &
Sensing
Trade
Promotions
Consensus /
Pre-S&OP
Rough Cut
Capacity
Planning
Production
Planning
Pricing
Financial
Planning, AOP,
Budget,
Revenue
Planning
Product
Portfolio
Planning
Strategic
Planning
Demand
Shaping
Long-Range
Planning
“Anaplan gave us speed and agility.”
RK Del Rosario, Supply Chain Planning Manager
ANAPLAN FOR CONNECTED PLANNING
Days slashed from routine
planning processes
CHALLENGES
• Legacy tools took up to 6 hours to run some
operations
• Planners used inaccurate averages, resulting in
imprecise forecasts
• Process failures resulted in lost sales and excess
inventory
RESULTS
• Two-week planning process was cut to two days
• A five-day revision process now takes five
minutes
• Channel, SKU, and customer profitability are
available monthly
Value
Maturity
Connect supply
chain data
Connect and align
supply chain
network
3 steps towards connected supply chain
Connect people
and plans
1
2
3
Step 1: connect supply chain planning data and processes
Transportation
management system
ERP system
MES system CRM tool
Warehouse
management system
Microsoft (Excel®)HCM toolMRP system
Financial planning
system
Benefits:
• Automated integration
• Single Repository
• Visual representation of data
• Network visibility
Step 2: Connect people and plans across the organization
Demand
Signal
ManagementTrade
Promotions
Management
Demand
Management
Planning
Dashboards
Collaborative
Planning
Statistical
Forecasting
Sales
Forecasting CRM
Pipeline
Management
NPI/EOL
Forecasting
Financial
Forecasting
Marketing
Forecasts
Demand
Shaping
Demand Analyst
Marketing
Account Management
Sales management
Demand Planning
Controller
Rough-Cut
Capacity
Plan
Supplier
Plan
Sourcing
Plan
Planning
Dashboards
Capacity
Plan
(Constraints)
Consensus
Demand
Plan Capacity
Plan
(Resources)
Allocations
Plan
Inventory
Plan
Materials
Planning
Master
Production
Schedule
Procurement
Plan
Production Manager
Supply Planner
Inventory Manager
Master Planner
Distribution Manager
Warehouse Manager
Consensus
Planning
Executive
S&OP
Demand Planning
Supply Planning
Decision
Benefits:
• Complete profitability analysis
• Better anticipate market changes
• Real time implications supply chain
decisions have on corporate strategy
• Improve service levels
Step 3: Collaboration Across The Network
Raw Material
Suppliers
Contracted
Producers
Transportation Distribution
Center
Warehouse Customer
Channel
CustomersProduction
Facilities
3rd Party
Logistics
Channel
Partners
Transportation
Benefits:
• Visibility across all extend network events
• Immediate action due to deviations extended network
• ‘What if’ scenarios including suppliers and customer
• Better support omni-channel
Connected Planning Creates Value
Plan demand for tens of thousands of
SKUs globally
Consumer Products Manufacturer
Reduced Planning Cycle Time 80% (2
weeks to 2 days)
Food & Beverage Manufacturer
Improved forecast accuracy by 15%
Food & Beverage Manufacturer
Reduced functional FTE requirement for
impacted processes by 40%
High Tech Manufacturer
Reduced Order Processing Time 70%
from 7 to 2 Days and increased capacity
by 150%
High Tech Manufacturer
Effectively Planned 55% incremental
demand and revenue via new bundles
High Tech Manufacturer
1.5% sustained increase in Net
Income
Global Apparel Manufacturer
Reduced inventory on hand by an
estimated $100M
Global Apparel Manufacturer
Increased EBIT 25+% over 3 years
Global C&IP Manufacturer
Intelligent
Self-learning, Insightful,
Predictive, Cognitive
Collaborative
Networked, Inclusive,
Distributed, Accessible
Dynamic
Real-time, Responsive,
Flexible, Fast
Artificial Intelligence
Data ProcessesPeople Intelligence
Intelligent Planning Roadmap
Optimization
• Fully integrated into
Anaplan UI
• Optimal – Feasible problem
• Gurobi Solver Engine
Machine Learning/AI
• POCs with Google Cloud and
other partners
Predictive
• Currently available 26
algorithms
• Examples: Linear regression,
Exponential smoothing,
Erlang, Holt-Winters
Optimization
• Future versions to include all
major problem types
• Multivariable linear
regression
Machine Learning/AI
• Leverage ML/AI algorithms
and models for planning data
Immediate Term Future
This content is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decision.
Connected
Network
Planning
• Collaborative Planning across the supply network
• Dynamic and Continuous Planning and Optimization
• Intelligent, Faster and better decisions
Machine
Learning
Algorithms
Continuous
Optimization
Leading Edge Innovative Technology
Component of Function
that can be changed.
e.g., unit volume
Optimization Problem Definition
Objective Variable Constraint
Maximize or minimize
the value of some
function, F(x1,x2…xn)or
Determine Feasibility
e.g., maximize profit
Constraints on
individual x’s and/or
combinations of x’s
e.g., production
capacity
Using only model based line
items and formulas, the
optimizer does not require any
specific modeling skills.
Optimizer Highlights
UI DRIVEN MODEL BASED FAST CALCULATION
Problem definition relies on a
simple, Anaplan standard UI to
give more flexibility to users.
Gurobi is the fastest
optimization engine on the
market. Because the operation
locks the model, it’s a
prerequisite for the optimizer
to be fast.
This content is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decision.
ML POC: Large Beverage Company
POC Hypothesis: Determine if forecast improvements could be achieved
to yield COGS savings and associated SCM benefits
Scope: Apply ML on POS data over 8-10 weeks
Result: ML yielded a 15% improvement in forecast accuracy projected
to save $2M in COGS for the sample of products in the study.
Benefits: Targeted areas to apply the result
• Financial forecasting at granular levels
• Better allocate marketing spend across brands
• Trade promotions and marketing event planning that lift sales up
Additional downstream benefits through SCM
• Reduced Safety Stock Investment
• Reduced Expired and Obsolete Products
• Reduced Working Capital
ML POC: large CPG/consumer healthcare company
Result:
• more accurate forecasts than stat models in 79% of cases
• On average ML yielded 24% MAPE (vs. industry avg. of 36-40%)
• potentials of $4.1M in savings.
• $1.7M by addressing some of the missed sales
• $2.4M in efficient inventory management
Opportunities: Operating cost savings with improvements in sales prediction
by:
• Forecasting at granular level
• Optimizing supply planning on top of ML results
$4.1MSavings for 6 weeks in forecast accuracy
Anaplan Integrated ML
ML Model Performance
(Illustrative with one product example)
• ML models (with any combination of data) performing consistently better than stat models
• Granularity of forecasting ability (at UPC-DC level) shows models can be tuned to yield better result for
individual product or brand
Anaplan PlatformUsers Google Cloud Platform Data Sources
POS
ML POC Solution Architecture
Financial
Forecasting
Demand
Planning
Others
Data
Hub
External
Data
Shipping
Promotions
Big Query
Machine
Learning
Cloud
Storage
26
• A connected planning approach results in better, more
collaboratively created plans that are resilient in the
face of change
• Anaplan is a unique platform to develop, integrate,
reconcile, refine, and manage plans
• Anaplan capabilities can be implemented quickly using
agile processes
• Anaplan is highly scalable and supports very complex,
financial, product and supply chain planning models
Key takeaways
Questions

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Towards connected planning for Supply Chain

  • 1. Driving a new age of connected planning
  • 2. Supply Chain 4.0 The future is already here… are you ready for it?
  • 3. 3 Supplychainshaman.com http://www.supplychainshaman.com/new-technologies/my-take-the-role-of-anaplan-in-defining-the-art-of-the-possible-in-supply-chain-planning/ ….So when you see the next Anaplan presentation that is high-level, glitzy and full of buzzwords, don’t throw the baby out with the bath water. Instead, put their capabilities to work. Fight the urge to squirm in your seat and discount the validity of the technology (their presentations are some of the worst in the industry). Instead, challenge Anaplan to help your organization get free from the cage and define the art of the possible. I think that it is worth the journey, but I would love to hear from you…..
  • 4. Driving a new age of connected planning 2011 commercial launch 20 offices in 13 countries 75%+ FY17 subscription revenue growth (FYE January) 1000+ employees in 14 countries 900+ customers in over 40 countries Partners Best-in-class 250+ apps Patented in-memory data engine $120M FY17 total revenue momentum
  • 5. 5 Supply Chain 4.0 Faster Source: McKinsey More flexible Granularity More accurate
  • 6. Barriers that needs to be addressed: Organizational Silos • Lack of visibility • Sharing of Data Data • Inconsistency • Quality • Reconcile Flexibility • Dynamic changes • Varying timeframes • Different planning levels Technology • Manually intensive • Alignment tools Workflow • Different planning horizons & cycle times • In ability to quickly change pans
  • 7. legacy vs Anaplan ERP system MES system Transportation management system Warehouse management system MRP system HCM tool Microsoft (Excel®) Financial planning system CRM tool S&OP Management reports Inventory management MPS Forecasting tool Strategic pricing tool Supply optimization tool Order fulfillment tool Single, secure source of planning and decision data Greater collaboration, deeper insights, faster alignment Dynamic, continuous planning for any area of your business Across one department or area Across the company One business process
  • 8. Strategic Planning Demand Orchestration Supply Network Planning Financial Planning Product Portfolio Planning … achieve Connected Supply Chain Planning... and much more! Continuous Market Intelligence Continuous Optimization NPI/ EOL Planning Statistical Forecasting Merchandise & Assortment Planning Inventory Planning Executive S&OP Contribution Margin Analysis Financial Forecasting Demand Planning & Sensing Trade Promotions Consensus / Pre-S&OP Rough Cut Capacity Planning Production Planning Pricing Financial Planning, AOP, Budget, Revenue Planning Product Portfolio Planning Strategic Planning Demand Shaping Long-Range Planning
  • 9. “Anaplan gave us speed and agility.” RK Del Rosario, Supply Chain Planning Manager ANAPLAN FOR CONNECTED PLANNING Days slashed from routine planning processes CHALLENGES • Legacy tools took up to 6 hours to run some operations • Planners used inaccurate averages, resulting in imprecise forecasts • Process failures resulted in lost sales and excess inventory RESULTS • Two-week planning process was cut to two days • A five-day revision process now takes five minutes • Channel, SKU, and customer profitability are available monthly
  • 10. Value Maturity Connect supply chain data Connect and align supply chain network 3 steps towards connected supply chain Connect people and plans 1 2 3
  • 11. Step 1: connect supply chain planning data and processes Transportation management system ERP system MES system CRM tool Warehouse management system Microsoft (Excel®)HCM toolMRP system Financial planning system Benefits: • Automated integration • Single Repository • Visual representation of data • Network visibility
  • 12. Step 2: Connect people and plans across the organization Demand Signal ManagementTrade Promotions Management Demand Management Planning Dashboards Collaborative Planning Statistical Forecasting Sales Forecasting CRM Pipeline Management NPI/EOL Forecasting Financial Forecasting Marketing Forecasts Demand Shaping Demand Analyst Marketing Account Management Sales management Demand Planning Controller Rough-Cut Capacity Plan Supplier Plan Sourcing Plan Planning Dashboards Capacity Plan (Constraints) Consensus Demand Plan Capacity Plan (Resources) Allocations Plan Inventory Plan Materials Planning Master Production Schedule Procurement Plan Production Manager Supply Planner Inventory Manager Master Planner Distribution Manager Warehouse Manager Consensus Planning Executive S&OP Demand Planning Supply Planning Decision Benefits: • Complete profitability analysis • Better anticipate market changes • Real time implications supply chain decisions have on corporate strategy • Improve service levels
  • 13. Step 3: Collaboration Across The Network Raw Material Suppliers Contracted Producers Transportation Distribution Center Warehouse Customer Channel CustomersProduction Facilities 3rd Party Logistics Channel Partners Transportation Benefits: • Visibility across all extend network events • Immediate action due to deviations extended network • ‘What if’ scenarios including suppliers and customer • Better support omni-channel
  • 14. Connected Planning Creates Value Plan demand for tens of thousands of SKUs globally Consumer Products Manufacturer Reduced Planning Cycle Time 80% (2 weeks to 2 days) Food & Beverage Manufacturer Improved forecast accuracy by 15% Food & Beverage Manufacturer Reduced functional FTE requirement for impacted processes by 40% High Tech Manufacturer Reduced Order Processing Time 70% from 7 to 2 Days and increased capacity by 150% High Tech Manufacturer Effectively Planned 55% incremental demand and revenue via new bundles High Tech Manufacturer 1.5% sustained increase in Net Income Global Apparel Manufacturer Reduced inventory on hand by an estimated $100M Global Apparel Manufacturer Increased EBIT 25+% over 3 years Global C&IP Manufacturer Intelligent Self-learning, Insightful, Predictive, Cognitive Collaborative Networked, Inclusive, Distributed, Accessible Dynamic Real-time, Responsive, Flexible, Fast
  • 16. Intelligent Planning Roadmap Optimization • Fully integrated into Anaplan UI • Optimal – Feasible problem • Gurobi Solver Engine Machine Learning/AI • POCs with Google Cloud and other partners Predictive • Currently available 26 algorithms • Examples: Linear regression, Exponential smoothing, Erlang, Holt-Winters Optimization • Future versions to include all major problem types • Multivariable linear regression Machine Learning/AI • Leverage ML/AI algorithms and models for planning data Immediate Term Future This content is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decision.
  • 17. Connected Network Planning • Collaborative Planning across the supply network • Dynamic and Continuous Planning and Optimization • Intelligent, Faster and better decisions Machine Learning Algorithms Continuous Optimization Leading Edge Innovative Technology
  • 18. Component of Function that can be changed. e.g., unit volume Optimization Problem Definition Objective Variable Constraint Maximize or minimize the value of some function, F(x1,x2…xn)or Determine Feasibility e.g., maximize profit Constraints on individual x’s and/or combinations of x’s e.g., production capacity
  • 19. Using only model based line items and formulas, the optimizer does not require any specific modeling skills. Optimizer Highlights UI DRIVEN MODEL BASED FAST CALCULATION Problem definition relies on a simple, Anaplan standard UI to give more flexibility to users. Gurobi is the fastest optimization engine on the market. Because the operation locks the model, it’s a prerequisite for the optimizer to be fast. This content is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decision.
  • 20.
  • 21. ML POC: Large Beverage Company POC Hypothesis: Determine if forecast improvements could be achieved to yield COGS savings and associated SCM benefits Scope: Apply ML on POS data over 8-10 weeks Result: ML yielded a 15% improvement in forecast accuracy projected to save $2M in COGS for the sample of products in the study. Benefits: Targeted areas to apply the result • Financial forecasting at granular levels • Better allocate marketing spend across brands • Trade promotions and marketing event planning that lift sales up Additional downstream benefits through SCM • Reduced Safety Stock Investment • Reduced Expired and Obsolete Products • Reduced Working Capital
  • 22. ML POC: large CPG/consumer healthcare company Result: • more accurate forecasts than stat models in 79% of cases • On average ML yielded 24% MAPE (vs. industry avg. of 36-40%) • potentials of $4.1M in savings. • $1.7M by addressing some of the missed sales • $2.4M in efficient inventory management Opportunities: Operating cost savings with improvements in sales prediction by: • Forecasting at granular level • Optimizing supply planning on top of ML results $4.1MSavings for 6 weeks in forecast accuracy
  • 24. ML Model Performance (Illustrative with one product example) • ML models (with any combination of data) performing consistently better than stat models • Granularity of forecasting ability (at UPC-DC level) shows models can be tuned to yield better result for individual product or brand
  • 25. Anaplan PlatformUsers Google Cloud Platform Data Sources POS ML POC Solution Architecture Financial Forecasting Demand Planning Others Data Hub External Data Shipping Promotions Big Query Machine Learning Cloud Storage
  • 26. 26 • A connected planning approach results in better, more collaboratively created plans that are resilient in the face of change • Anaplan is a unique platform to develop, integrate, reconcile, refine, and manage plans • Anaplan capabilities can be implemented quickly using agile processes • Anaplan is highly scalable and supports very complex, financial, product and supply chain planning models Key takeaways Questions