Schulich leading practices - flowcasting session highlights
1. January 25 2018
TRANSFORMING THE BUSINESS
USING FLOWCASTING
Ewen McIlraith, SVP Supply Chain & Customer Marketing, Princess Auto
Mike Doherty, Partner, Demand Clarity
Jeff Harrop, Partner, Demand Clarity
2. FLOWCASTING IMPLEMENTATION
Objectives
• Outline the Flowcasting process
• Provide an understanding of the Princess Auto Flowcasting
implementation
• Share insights on how this implementation has helped transform
the business and enable us to be customer centric
2
4. HISTORY/EVOLUTION OF FLOWCASTING
1964 1977 1983 1986 1994 1995 1997 1999 2006 2008 2009 2013 2016
Joe Orlicky
MRP
Andre Martin
DRP
DRP
Book
First
Retail DRP
Pilot
Infopartnering
Book
Pilot
Of Store
Planning
Commercial
Software
Full
Scale
Retail DRP
Flowcasting
Book
CPG
Retail
Pilot
Flowcasting
For SONY
Stores
CPG
Retail
Pilot
Flowcasting
Full Scale
Rollout
5. THE PHILOSOPHY OF FLOWCASTING
Flowcasting is based on a simple, yet powerful idea: “Never forecast what you can calculate.”
In the retail supply chain, there is only one point of true demand – at the specific time and location
when a consumer buys a specific product.
All prior product movements are dependent on the true demand and can be calculated rather than
forecasted.
Retail
Store
Retail
DC
Manufacturer
DC
Manufacturer
Plant
Raw Material
Supplier
Forecast
Calculate
The Consumer Demand “pulls” inventory through the Supply Chain based on Planned Arrivals
9. ORDER PLANNING – FLOWING INVENTORY
Store is planned to receive 10 units in the week of 5/16 and 20 units in the week of
5/23 to avoid violating safety stock and the 20 units is in support of the event
Regular
replenishment:
10 Units
Promo
replenishment:
20 Units
17. IMPLEMENTATION OVERVIEW
Entities Planning Scenarios
• 43 stores
• 15,000 products
• 3 DC’s
• 420 vendors
• 18 replenishment
analysts initially;
now 9 demand
planners and 9
replenishment
analysts – no
additional
headcount
1. Regular
2. Promotions
3. Seasonal
4. One time buys
5. Surplus products
6. New products
7. Discontinued products
8. New stores
9. New DC
10. Capacity planning
11. Financial planning
(early stage S&OP)
Timeline (MAY 2014 – JUN 2016)
• 19 months – initial implementation
• 6 months – S&OP, Capacity planning
Business Consultants
• 1 person – initial implementation
• 2 people – S&OP, Capacity planning
System Consultants
• 1/2 of one resource
PAL Team
• 4 business team members
• 1.5 IT team members (50% of time)
18. • Instill a new way of working:
• Forecast sales at the shelf
• Use time-phased plans from supplier to store
• Flow product to the shelf
• Automated ordering at a single lead time
• Managing by exception
• Working to a single set of numbers (for PAL and suppliers)
• ‘Silence is Approval’
IMPLEMENTATION PHILOSOPHY
20. Inventory accuracy
Visibility
Retail S&OP
RETAIL OPERATIONS
Date based priority planning
Visibility
Retail S&OP
SUPPLY CHAIN OPERATIONS
Consumer demand forecast
Integrated time phased planning
Supplier scheduling
DEMAND PLANNING & REPLEN
Assortment planning
Sales plans & strategies
Retail S&OP
MERCHANDISING
Supplier scheduling
One lead time, sensible LTs
Silence is approval
VENDORS
NEW MENTAL MODEL
21. 1. It’s about changing behaviors and the
mental model
2. Big leaps are easier when they’re
intuitive
3. Collaboration is simpler, more natural
with consumer demand and a single
set of numbers
4. Software should be largely invisible
to the effort
LESSONS LEARNED
23. IN-STOCK DASHBOARD
• Improving performance will require a focus on:
• Store inventory accuracy
• On time performance, including vendor performance
• Right-sizing store inventory models (planogram determinations)
• Improved spreading of aggregate promo forecast to stores
• Start: May 2014
• Live pilot: Jul 2015
• Phase 1: Jan 2016
• Phase 2: Jun 2016
24. 24
SALES TO INVENTORY RATIO
• Start: May 2014
• Live pilot: Jul 2015
• Phase 1: Jan 2016
• Phase 2: Jun 2016
25. Demand Sales Projection Outbound Volumes
Inventory Inventory Level Projection Space Requirements
Supply Purchases Projection Inbound Volumes
Projections in Units:
Demand, Inventory, Supply
Cash Flow Forecast
Margin Analysis
Projected Inventory Costs
Rough Cut Capacity Planning
Manpower Planning
Space Planning
Transportation Planning
Multiply by
Price/Cost
Multiply by
Cubic Feet or
Weight
AGGREGATE PLANNING
26. Wk1 Wk2 Wk3 Wk4 …. Wk52 Total
Category
Cat1 - … $$ $$ $$ $$ $$ $$ $$
Department
Dept1 - … $$ $$ $$ $$ $$ $$ $$
Sub-department
Sub-dept1 - … $$ $$ $$ $$ $$ $$ $$
Class
Class1 - … $$ $$ $$ $$ $$ $$ $$
Total $$ $$ $$ $$ $$ $$ $$
Annual
Plan
Wk1 Wk2 Wk3 Wk4 …. Wk52 Total
Category
Cat1 - … $$ $$ $$ $$ $$ $$ $$
Department
Dept1 - … $$ $$ $$ $$ $$ $$ $$
Sub-department
Sub-dept1 - … $$ $$ $$ $$ $$ $$ $$
Class
Class1 - … $$ $$ $$ $$ $$ $$ $$
Total $$ $$ $$ $$ $$ $$ $$
Forecast
Item/Store
(rolling 52
weeks)
Tactics
(Promos, New
Items, New
Stores)
Identify where plan is at risk
CONTINUOUS PLAN VALIDATION
27. CONSENSUS PLANNING
• Sales plan vs Flowcasting forecast
Period 6 to Period 11 Inclusive
Category 390 410
Sales Plan $25,277,025 $22,105,901
Flowcasting Forecast $27,156,706 $22,794,756
• Buyers and Demand Planners are working together, speaking the same language: sales
• Together, for the first time, the can get an ongoing projected view of aggregate sales
forecasts compared to plan:
• If they don’t like the projections, change the strategies and tactics, re-forecast and
re-plan and review
• Significantly improved control of the business
28. OPERATIONS PLANNING
Network Planning Capacity Planning
DC/Transportation/
Store Scheduling
• Guides the long-term
evolution of the HD network
based on Long Term business
plans
• Ensures the Supply Chain
network has sufficient
capacity and resources to
address future needs
• Budgeting of costs
• Produces detailed DC
schedules based on actual
order lines
• Designs transportation routes
and loads based on actual
order lines
Description
• Buy, build, lease new facilities
• Decommission existing
facilities
• Upgrade existing facilities
• Add shifts
• Article path assignments
• DC labour requirements
• DC shifts/hours
• 3PL resources requirements
• Transportation resource
requirements
• Scheduled orders
• DC Pick schedules (waves)
• DC receiving schedules
• DC door assignments
• DC work assignments
• Driver, equipment
assignments
• Store receiving schedules
Key decisions
• Horizon: 5-10 years.
• Frequency: 3-5 years (with
annual adjustments)
• Granularity: Year, Quarter
• Horizon: 12 to 18 months
• Frequency: Monthly
• Granularity: Month, Week
• Horizon: 24 hours +
• Frequency: Daily (at least)
• Granularity: Minute
Typical planning
horizon,
frequency,
granularity
• Supply Chain Optimization
software
• TBD • Order management system
• Transportation planning
• DC scheduling
• Etc, etc,
Technology
Production Planning
• Fine tunes the capacity plans
• Product slotting decisions
• Pick face replenishments
• Some carrier tendering
• Store delivery dates
• Horizon: 1-4 weeks
• Frequency: Daily
• Granularity: Daily, Shift
• TBD
29. DC CAPACITY PLANNING OBJECTIVES
Operational Efficiencies driven by available capacity
• Prevent congestion
• Allows prioritization of processes and labour
• Efficient use of assets
• Reduce rework
Important Input Into Budgeting
• Inventory, receipts, shipments by facility
• Labour and MHE
• Offsite and 3PL arrangements
• Event Planning:
- Promo Event
- Seasonal
- Line Review
30. OMNI-CHANNEL FULFILLMENT : FROM - TO
30
Stores
Retail DC
Ecommerce
Fulfillment DC
Stores
Retail DC
FROM TO