SlideShare a Scribd company logo
1 of 30
Download to read offline
ENABLING A DEMAND
DRIVEN SUPPLY CHAIN
(DDSC)

Moscow,
February 12th , 2014

Frank Vullers
Senior Industry Consultant Retail
Category Management supported by Detailed data
Teradata EMEA
AGENDA

Supply Chain
Management

SCM Solutions

Category Management supported by Detailed data

Customer
Cases
Effect of Poor shelf availability

Both Retailers and Manufacturers suffer when Item is Out
of Stock
3

2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)
From Traditional to Demand Driven SCM
Traditional

Demand Driven

•

Focus on Assets & Products

•

Focus on Customer service

•

SCM Costs as % of turnover

•

Service levels, Out of Stock

•

Supply chain scope is Logistics

•

Scope on Supply networks

•

Visibility only inventory on-hand

•

Visibility across the entire chain

•

incremental SC improvements

•

Temporal models & Analytics
sense future problems &
Opportunities

•

Sales & Operations planning is
not a business discipline

•

Sales & Operations plans are
disciplined and effective

4

2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)
From Traditional to Demand Driven SCM
Traditional

Demand Driven

Not every company is at once fully Demand driven
5

2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)
The Demand Chain
Results

Inputs

• Accurate demand forecast
• Replenishment plans
• Allocation plan

• Store/Sku: Forecasts, Orders,
Allocations
• Individual location based
historical sales, future events

Demand Pulls Product
How much of each item do I need to
have at each Location and when?

Source

Carrier

DC

Store

Inputs

Consumer

End Results

• PO data, Partners, Orders,
ASN‟s
• Expected ship and arrival
(ETA‟s)
• Anticipated events

6

2/18/2014

Product Flows Efficiently
Is the ordered product moving efficiently
through the supply chain to the Locations,
according to plan and latest trends?

Enabling a Demand Driven Supply Chain (DDSC)

• Product in the right place at the
right time
• Improved sales and turns
• Customer satisfaction
Strategic Challenges: SCM & Russia
• Staff turnover is high
• lack of well-trained
qualified people

Supply
chain
Planning

• Customers & large
territory
• Forecasting
challenging

7

2/18/2014

Courtesy to G. Moore‟s “Living on the fault line”

• reverse logistics
processes & cross
the border again.

Sourcing

Production

Delivery

• local suppliers poor
reliability
• importing from abroad
• convincing foreign suppliers
to move to Russia

Enabling a Demand Driven Supply Chain (DDSC)

Returns

• Russia the largest
country
• lack of warehouses
• fragmented market
Strategies for these Challenges
the right transportation
mode
And balancing
transportation costs,
inventory costs and
required responsiveness
levels

supply chain strategy
oriented
towards effectiveness,
flexibility and
responsiveness

Supply
chain
Planning

demand forecasts and outof-stock levels can
be improved through
better information sharing

8

2/18/2014

Courtesy to G. Moore‟s “Living on the fault line”

Sourcing

Production

Delivery

Returns

keep extra safety stocks to
overcome improvements in
information sharing

Enabling a Demand Driven Supply Chain (DDSC)

Consumers do want a
broad range of choice,
but are willing to switch if
products are unavailable
AGENDA

Supply Chain
Management

9

2/18/2014

SCM Solutions

Category Management supported by Detailed(DDSC)
Enabling a Demand Driven Supply Chain data

Customer
Cases
SCM Solutions
SCOR® Framework

10 2/18/2014

How Can Teradata Help ?

Enabling a Demand Driven Supply Chain (DDSC)
Demand Chain Manager DCM

Better Forecasting
& Replenishment

Assigns Sku‟s to
Models
Long and Short
Seasons

Best Fit Models
Store SKU, Scored
Weekly
Seasonal
Profile

Quick Start
Forecasts for Basic
and Short Season
Products

A
B

60 %

E

A

Time Phased
Demand Plan

B

Promotion Lifts

C

D

SKU
Ranking

E

Weekly SKU
Ranking
Ranking by
location,
merchandise
groups

Orders/Allocations
calculated on
forecasts/ currentprojected on hand
inventory

Calculates Forecast
Lifts, Simulation

11 2/18/2014

C
D

Use Actual Results
Intelligent Product
or Forecast Values,
Introduction
link multiple skus

Modeled Versus
Historical Events

Client Defined
Adaptive Response

Deseasonalized
ARS, Best Fit

Allocation

Enabling a Demand Driven Supply Chain (DDSC)

Point in Time and
Time Phased Orders
Poor BI Performance & Monitoring

Multiple
Sources

Inconsistent
Data Sourcing

Multiple
Data Marts

Ad-Hoc
Tools and
Processes

Disparate
Reports

Frustrated End-users &
Decision Makers

Marketing
Customer
CRM
Product
Management

Sales
Operations

Profitability

Customer
Care

Regulatory
Reporting

Finance

The Excel Army

The IT Hair Ball

12 2/18/2014

Analytics and Reporting

Enabling a Demand Driven Supply Chain (DDSC)

Real Time Insight
Integrated Data Warehouse+

Multiple
Sources

Consistent
Data Sourcing

Integrated
Data
Warehouse

Dedicated
Tools and Aligned
Processes

Integrated
reports

Real Time Insight

Happy End-users &
Decision Makers

Marketing
Customer
CRM

SALES

Product
Management

Sales

LOCATION

ITEM

Operations
Customer
Care

Profitability
Retail
Data Model (RDM)

Finance

Regulatory
Reporting
Proper BI Tools

IT Lasagna

13 2/18/2014

Analytics and Reporting

Enabling a Demand Driven Supply Chain (DDSC)
Retail / Manufacturing experiences

Real Time Insight
Detailed Cost
Analysis

Benefits
Scalable Size – Users – Usage
Realtime Reporting – Alerting – Monitoring
Fast integration of datamarts
Retail business Knowledge

14 2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)
AGENDA

Supply Chain
Management

15 2/18/2014

SCM Solutions

Category Management supported by Detailed(DDSC)
Enabling a Demand Driven Supply Chain data

Customer
Cases
Customer cases
Better Forecast & Replenishment
Case 1: HEMA Demand Chain Manager
Real time insight

Case 2: Monoprix On Shelf Availability
Case 3: Shipment Tracking
Case 4: Tesco Link
Detailed Cost Analysis
Case 5: Transportation optimization

16 2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)
Case 1: HEMA DCM

Objective

Better Forecasting
& Replenishment

Analysis & Actions

Result
•

•
Become
demand driven

•

Replacement of supply chain
steering model
Teradata Demand Chain manager
(DCM) application became
foundation of HEMA new supply
chain model

•
•
•

17 2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)

Opened 200 stores
(450->664) still
delivered from same
DC
Inventory levels
exceeded objectives
Less frequent
delivery to stores
Side effect: Reporting
speeded up
HEMA Today…

Better Forecasting
& Replenishment

• More than 650 stores in multiple countries (NL, BE, F, D)
> Including 150 + Franchise stores
700

•
•
•
•

Variety store
Hardgoods, food and fashion items
Private label
Award winning formula

18 2/18/2014

600
500
400
300
200
100
0
1960

Enabling a Demand Driven Supply Chain (DDSC)

1980

2000

2020
HEMA Supply Chain

Better Forecasting
& Replenishment
Internet
Wholesale

DC Promotions (Push)

Suppliers

• 500 suppliers
• Europe and Far East
• Leadtime 1 day – 26
weeks
• All private label and
HEMA design

DC Continuous (Pull)

• One central DC
> Highly automated
• Continuous items
> Call off orders based on
forecast
• Seasonal items and
promotions
> Promotion uplift
calculation; confirmed
by all stores

19 2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)

Stores
• General
> Modular assortments
> Assortments per store
• Pull (continuous items)
> Min – Max system;
> 1-5 times per week
> Lead time DC: 1-2 days

• Push (including
promotions of pull items)
> Allocation of stocks
> Delivered 1 – 2 weeks before
What is „Deliver to Demand‟ concept?

• Deliver to Demand enables us to become
demand driven
• Logistical streams will become automatic
• Share forecast with suppliers early in
planningsprocess

20

20 2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)

Better Forecasting
& Replenishment

„Deliver
to
Demand
‟
Why did HEMA need this concept ?

Better Forecasting
& Replenishment

The supply chain steering model was out of date







Based on old principles
No relation between store, DC planning and promotional push
No input of local influences
Not proactive but reactive;
Forecasts created outside systems (Excel) for Push streams. No
link with real Sales.

21

21 2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)
Hema Project
•
•
•
•
•
•

Phase 1:
Phase 2.1:
Phase 2.2:
Phase 3.1:
Upgrade to
Phase 3.2

Better Forecasting
& Replenishment

Continuous products
Long season:
Push-Pull-Push
Short season
Push- 2nd Push
Ambient Food (Whine, etc)
DCM version 4.1
Food Cakes, pastry

• Next Steps

22 2/18/2014

Enabling a Demand Driven Supply Chain (DDSC)

2009
2010
2010
2011
2012
Demand Chain Manager(DCM) Customers

Better Forecasting
& Replenishment

Food & Beverage
Drugs
Health & Beauty

Grocery/
Liquor

Apparel
Shoes
Accessories

Fashion/
Softlines

Home Furnishings
Consumer Electronics
Furniture/Appliances
Building Materials

Hardlines

Auto Parts
SILKROUTE

Office Supplies
Books,Music,Software

23 2/18/2014

Handleman
Company
Enabling a Demand Driven Supply Chain (DDSC)
Case 2: On Shelf Availability (OSA)

Objective

Analysis & Actions
•
•

Needed to
understand the
causes of OOS

24 2/18/2014

•
•

Analysis root causes
On Shelf Availability(OSA) report
for top 2000 SKUs
to identify both operational and
supply chain issues
predicts on shelf out of stocks in
order to prevent them

Enabling a Demand Driven Supply Chain (DDSC)

Real Time Insight

Result

•
•
•

Reduction OOS
resulting in 1%
increase in sales
Improved in-store
procedures
Improved stock
accuracy
Case 3: Shipment Tracking

Objective
Letting
Business
customers
check their
shipment
status online,
and get rid of
separate
datamart

25 2/18/2014

Real Time Insight

Analysis & Actions
•

•

Data loads into Data Warehouse to
meet service level agreements,
and for route optimization and
profitability analytics
Transaction data now loads within
15 minutes to Teradata with direct
access via the web.

Enabling a Demand Driven Supply Chain (DDSC)

Result

•
•
•

36,000 self-service
queries per day
35% reduction in
calls to Customer
Care center
Eliminated ODS
Case 4: Tesco Link

Objective

Leverage
Suppliers
knowledge on
categories

26 2/18/2014

Analysis & Actions

•
•
•

Give Suppliers entrance to Tesco
data
Sharing detailed information on
sales data
Not only viewing but also
Downloading data

Enabling a Demand Driven Supply Chain (DDSC)

Real Time Insight

Result

• Lean backoffice
• One consistent way of
working
Case 5: Transportation Optimization

Objective
optimize
Freight loads
over the
different
Grocery retail
chains in order
to have a
profitable own
Fleet

27 2/18/2014

Analysis & Actions

•
•
•

Started with defining best KPI‟s
Making right choice between
internal fleet and Contractors
Create best route based on costs,
and service levels

Enabling a Demand Driven Supply Chain (DDSC)

Detailed Cost
Analysis

Result

•

Own Application
gives insight in break
even point and when
to choose which
transport
AGENDA

Supply Chain
Management

28 2/18/2014

SCM Solutions

Category Management supported by Detailed(DDSC)
Enabling a Demand Driven Supply Chain data

Customer
Cases
QUESTIONS?

29 2/18/2014

Category Management supported by Detailed(DDSC)
Enabling a Demand Driven Supply Chain data
THANKS YOU FOR
QUESTIONS?
ATTENTION

Frank Vullers
Senior Industry Consultant Retail
Teradata EMEA
Frank.Vullers@Teradata.com
https://twitter.com/FrankVullers

30 2/18/2014

Category Management supported by Detailed(DDSC)
Enabling a Demand Driven Supply Chain data

More Related Content

Viewers also liked

Category Management Moscow
Category Management MoscowCategory Management Moscow
Category Management MoscowFrank Vullers
 
JDA Retail Planning Suite - Anticipate, Align, Adapt.
JDA Retail Planning Suite - Anticipate, Align, Adapt.JDA Retail Planning Suite - Anticipate, Align, Adapt.
JDA Retail Planning Suite - Anticipate, Align, Adapt.JDA Software
 
Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...
Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...
Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...Plan4Demand
 
Walmart and carreford_v3
Walmart and carreford_v3Walmart and carreford_v3
Walmart and carreford_v3lleonliao
 
Ch3: Planning, Sales Forecasting, and Budgeting
Ch3: Planning, Sales Forecasting, and BudgetingCh3: Planning, Sales Forecasting, and Budgeting
Ch3: Planning, Sales Forecasting, and Budgetingitsvineeth209
 
Demand driven forecasting
Demand driven forecastingDemand driven forecasting
Demand driven forecastingCharles Novak
 
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYC
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYCRonald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYC
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYCMLconf
 
The 5 Keys to Demand Planning Success
The 5 Keys to Demand Planning SuccessThe 5 Keys to Demand Planning Success
The 5 Keys to Demand Planning SuccessSteelwedge
 
Demand planning session
Demand planning sessionDemand planning session
Demand planning sessionAlfaPeople US
 

Viewers also liked (13)

Category Management Moscow
Category Management MoscowCategory Management Moscow
Category Management Moscow
 
JDA Retail Planning Suite - Anticipate, Align, Adapt.
JDA Retail Planning Suite - Anticipate, Align, Adapt.JDA Retail Planning Suite - Anticipate, Align, Adapt.
JDA Retail Planning Suite - Anticipate, Align, Adapt.
 
Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...
Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...
Demand Planning Leadership Exchange: Increasing Forecast Accuracy... Does it ...
 
A Roadmap To World Class Forecasting Accuracy
A Roadmap To World Class Forecasting AccuracyA Roadmap To World Class Forecasting Accuracy
A Roadmap To World Class Forecasting Accuracy
 
CPFR
CPFRCPFR
CPFR
 
Walmart and carreford_v3
Walmart and carreford_v3Walmart and carreford_v3
Walmart and carreford_v3
 
Ch3: Planning, Sales Forecasting, and Budgeting
Ch3: Planning, Sales Forecasting, and BudgetingCh3: Planning, Sales Forecasting, and Budgeting
Ch3: Planning, Sales Forecasting, and Budgeting
 
Demand driven forecasting
Demand driven forecastingDemand driven forecasting
Demand driven forecasting
 
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYC
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYCRonald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYC
Ronald Menich, Chief Data Scientist, Predictix, LLC at MLconf NYC
 
The 5 Keys to Demand Planning Success
The 5 Keys to Demand Planning SuccessThe 5 Keys to Demand Planning Success
The 5 Keys to Demand Planning Success
 
Demand forecasting 12
Demand forecasting 12Demand forecasting 12
Demand forecasting 12
 
Demand planning session
Demand planning sessionDemand planning session
Demand planning session
 
Demand planning kpi
Demand planning kpiDemand planning kpi
Demand planning kpi
 

Recently uploaded

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 

Recently uploaded (20)

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 

Enabling a Demand Driven Supply Chain with Teradata at ECR Moscow Feb 2014

  • 1. ENABLING A DEMAND DRIVEN SUPPLY CHAIN (DDSC) Moscow, February 12th , 2014 Frank Vullers Senior Industry Consultant Retail Category Management supported by Detailed data Teradata EMEA
  • 2. AGENDA Supply Chain Management SCM Solutions Category Management supported by Detailed data Customer Cases
  • 3. Effect of Poor shelf availability Both Retailers and Manufacturers suffer when Item is Out of Stock 3 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC)
  • 4. From Traditional to Demand Driven SCM Traditional Demand Driven • Focus on Assets & Products • Focus on Customer service • SCM Costs as % of turnover • Service levels, Out of Stock • Supply chain scope is Logistics • Scope on Supply networks • Visibility only inventory on-hand • Visibility across the entire chain • incremental SC improvements • Temporal models & Analytics sense future problems & Opportunities • Sales & Operations planning is not a business discipline • Sales & Operations plans are disciplined and effective 4 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC)
  • 5. From Traditional to Demand Driven SCM Traditional Demand Driven Not every company is at once fully Demand driven 5 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC)
  • 6. The Demand Chain Results Inputs • Accurate demand forecast • Replenishment plans • Allocation plan • Store/Sku: Forecasts, Orders, Allocations • Individual location based historical sales, future events Demand Pulls Product How much of each item do I need to have at each Location and when? Source Carrier DC Store Inputs Consumer End Results • PO data, Partners, Orders, ASN‟s • Expected ship and arrival (ETA‟s) • Anticipated events 6 2/18/2014 Product Flows Efficiently Is the ordered product moving efficiently through the supply chain to the Locations, according to plan and latest trends? Enabling a Demand Driven Supply Chain (DDSC) • Product in the right place at the right time • Improved sales and turns • Customer satisfaction
  • 7. Strategic Challenges: SCM & Russia • Staff turnover is high • lack of well-trained qualified people Supply chain Planning • Customers & large territory • Forecasting challenging 7 2/18/2014 Courtesy to G. Moore‟s “Living on the fault line” • reverse logistics processes & cross the border again. Sourcing Production Delivery • local suppliers poor reliability • importing from abroad • convincing foreign suppliers to move to Russia Enabling a Demand Driven Supply Chain (DDSC) Returns • Russia the largest country • lack of warehouses • fragmented market
  • 8. Strategies for these Challenges the right transportation mode And balancing transportation costs, inventory costs and required responsiveness levels supply chain strategy oriented towards effectiveness, flexibility and responsiveness Supply chain Planning demand forecasts and outof-stock levels can be improved through better information sharing 8 2/18/2014 Courtesy to G. Moore‟s “Living on the fault line” Sourcing Production Delivery Returns keep extra safety stocks to overcome improvements in information sharing Enabling a Demand Driven Supply Chain (DDSC) Consumers do want a broad range of choice, but are willing to switch if products are unavailable
  • 9. AGENDA Supply Chain Management 9 2/18/2014 SCM Solutions Category Management supported by Detailed(DDSC) Enabling a Demand Driven Supply Chain data Customer Cases
  • 10. SCM Solutions SCOR® Framework 10 2/18/2014 How Can Teradata Help ? Enabling a Demand Driven Supply Chain (DDSC)
  • 11. Demand Chain Manager DCM Better Forecasting & Replenishment Assigns Sku‟s to Models Long and Short Seasons Best Fit Models Store SKU, Scored Weekly Seasonal Profile Quick Start Forecasts for Basic and Short Season Products A B 60 % E A Time Phased Demand Plan B Promotion Lifts C D SKU Ranking E Weekly SKU Ranking Ranking by location, merchandise groups Orders/Allocations calculated on forecasts/ currentprojected on hand inventory Calculates Forecast Lifts, Simulation 11 2/18/2014 C D Use Actual Results Intelligent Product or Forecast Values, Introduction link multiple skus Modeled Versus Historical Events Client Defined Adaptive Response Deseasonalized ARS, Best Fit Allocation Enabling a Demand Driven Supply Chain (DDSC) Point in Time and Time Phased Orders
  • 12. Poor BI Performance & Monitoring Multiple Sources Inconsistent Data Sourcing Multiple Data Marts Ad-Hoc Tools and Processes Disparate Reports Frustrated End-users & Decision Makers Marketing Customer CRM Product Management Sales Operations Profitability Customer Care Regulatory Reporting Finance The Excel Army The IT Hair Ball 12 2/18/2014 Analytics and Reporting Enabling a Demand Driven Supply Chain (DDSC) Real Time Insight
  • 13. Integrated Data Warehouse+ Multiple Sources Consistent Data Sourcing Integrated Data Warehouse Dedicated Tools and Aligned Processes Integrated reports Real Time Insight Happy End-users & Decision Makers Marketing Customer CRM SALES Product Management Sales LOCATION ITEM Operations Customer Care Profitability Retail Data Model (RDM) Finance Regulatory Reporting Proper BI Tools IT Lasagna 13 2/18/2014 Analytics and Reporting Enabling a Demand Driven Supply Chain (DDSC)
  • 14. Retail / Manufacturing experiences Real Time Insight Detailed Cost Analysis Benefits Scalable Size – Users – Usage Realtime Reporting – Alerting – Monitoring Fast integration of datamarts Retail business Knowledge 14 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC)
  • 15. AGENDA Supply Chain Management 15 2/18/2014 SCM Solutions Category Management supported by Detailed(DDSC) Enabling a Demand Driven Supply Chain data Customer Cases
  • 16. Customer cases Better Forecast & Replenishment Case 1: HEMA Demand Chain Manager Real time insight Case 2: Monoprix On Shelf Availability Case 3: Shipment Tracking Case 4: Tesco Link Detailed Cost Analysis Case 5: Transportation optimization 16 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC)
  • 17. Case 1: HEMA DCM Objective Better Forecasting & Replenishment Analysis & Actions Result • • Become demand driven • Replacement of supply chain steering model Teradata Demand Chain manager (DCM) application became foundation of HEMA new supply chain model • • • 17 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC) Opened 200 stores (450->664) still delivered from same DC Inventory levels exceeded objectives Less frequent delivery to stores Side effect: Reporting speeded up
  • 18. HEMA Today… Better Forecasting & Replenishment • More than 650 stores in multiple countries (NL, BE, F, D) > Including 150 + Franchise stores 700 • • • • Variety store Hardgoods, food and fashion items Private label Award winning formula 18 2/18/2014 600 500 400 300 200 100 0 1960 Enabling a Demand Driven Supply Chain (DDSC) 1980 2000 2020
  • 19. HEMA Supply Chain Better Forecasting & Replenishment Internet Wholesale DC Promotions (Push) Suppliers • 500 suppliers • Europe and Far East • Leadtime 1 day – 26 weeks • All private label and HEMA design DC Continuous (Pull) • One central DC > Highly automated • Continuous items > Call off orders based on forecast • Seasonal items and promotions > Promotion uplift calculation; confirmed by all stores 19 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC) Stores • General > Modular assortments > Assortments per store • Pull (continuous items) > Min – Max system; > 1-5 times per week > Lead time DC: 1-2 days • Push (including promotions of pull items) > Allocation of stocks > Delivered 1 – 2 weeks before
  • 20. What is „Deliver to Demand‟ concept? • Deliver to Demand enables us to become demand driven • Logistical streams will become automatic • Share forecast with suppliers early in planningsprocess 20 20 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC) Better Forecasting & Replenishment „Deliver to Demand ‟
  • 21. Why did HEMA need this concept ? Better Forecasting & Replenishment The supply chain steering model was out of date      Based on old principles No relation between store, DC planning and promotional push No input of local influences Not proactive but reactive; Forecasts created outside systems (Excel) for Push streams. No link with real Sales. 21 21 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC)
  • 22. Hema Project • • • • • • Phase 1: Phase 2.1: Phase 2.2: Phase 3.1: Upgrade to Phase 3.2 Better Forecasting & Replenishment Continuous products Long season: Push-Pull-Push Short season Push- 2nd Push Ambient Food (Whine, etc) DCM version 4.1 Food Cakes, pastry • Next Steps 22 2/18/2014 Enabling a Demand Driven Supply Chain (DDSC) 2009 2010 2010 2011 2012
  • 23. Demand Chain Manager(DCM) Customers Better Forecasting & Replenishment Food & Beverage Drugs Health & Beauty Grocery/ Liquor Apparel Shoes Accessories Fashion/ Softlines Home Furnishings Consumer Electronics Furniture/Appliances Building Materials Hardlines Auto Parts SILKROUTE Office Supplies Books,Music,Software 23 2/18/2014 Handleman Company Enabling a Demand Driven Supply Chain (DDSC)
  • 24. Case 2: On Shelf Availability (OSA) Objective Analysis & Actions • • Needed to understand the causes of OOS 24 2/18/2014 • • Analysis root causes On Shelf Availability(OSA) report for top 2000 SKUs to identify both operational and supply chain issues predicts on shelf out of stocks in order to prevent them Enabling a Demand Driven Supply Chain (DDSC) Real Time Insight Result • • • Reduction OOS resulting in 1% increase in sales Improved in-store procedures Improved stock accuracy
  • 25. Case 3: Shipment Tracking Objective Letting Business customers check their shipment status online, and get rid of separate datamart 25 2/18/2014 Real Time Insight Analysis & Actions • • Data loads into Data Warehouse to meet service level agreements, and for route optimization and profitability analytics Transaction data now loads within 15 minutes to Teradata with direct access via the web. Enabling a Demand Driven Supply Chain (DDSC) Result • • • 36,000 self-service queries per day 35% reduction in calls to Customer Care center Eliminated ODS
  • 26. Case 4: Tesco Link Objective Leverage Suppliers knowledge on categories 26 2/18/2014 Analysis & Actions • • • Give Suppliers entrance to Tesco data Sharing detailed information on sales data Not only viewing but also Downloading data Enabling a Demand Driven Supply Chain (DDSC) Real Time Insight Result • Lean backoffice • One consistent way of working
  • 27. Case 5: Transportation Optimization Objective optimize Freight loads over the different Grocery retail chains in order to have a profitable own Fleet 27 2/18/2014 Analysis & Actions • • • Started with defining best KPI‟s Making right choice between internal fleet and Contractors Create best route based on costs, and service levels Enabling a Demand Driven Supply Chain (DDSC) Detailed Cost Analysis Result • Own Application gives insight in break even point and when to choose which transport
  • 28. AGENDA Supply Chain Management 28 2/18/2014 SCM Solutions Category Management supported by Detailed(DDSC) Enabling a Demand Driven Supply Chain data Customer Cases
  • 29. QUESTIONS? 29 2/18/2014 Category Management supported by Detailed(DDSC) Enabling a Demand Driven Supply Chain data
  • 30. THANKS YOU FOR QUESTIONS? ATTENTION Frank Vullers Senior Industry Consultant Retail Teradata EMEA Frank.Vullers@Teradata.com https://twitter.com/FrankVullers 30 2/18/2014 Category Management supported by Detailed(DDSC) Enabling a Demand Driven Supply Chain data