Implementation of International Best Practices in Retail ... · PDF file2013 Russia Moscow...
Transcript of Implementation of International Best Practices in Retail ... · PDF file2013 Russia Moscow...
Implementation of International Best Practices in Retail Fashion
MODIS
November 6, 2014
Konstantin Semikin
Moscow, Russia
MODIS – leading russian fashion brand
MODIS – это первая российская национальная монобрендовая сеть магазинов модной одежды для всей семьи. В настоящий момент сеть насчитывает более 125 магазинов в 65 городах России.
Сеть MODIS привлекательна для широкого класса постоянных покупателей: в каждом шестом магазине сети количество посетителей превышает 1 млн чел в год
КРАТКАЯ СПРАВКА О КОМПАНИИ
Бизнес – схема MODIS - EDLP (every day low price – каждый день низкие цены): • низкие цены на регулярной
основе; • отказ от агрессивных
распродаж; • ценообразование на основе
мониторинга цен конкурентов;
• широкий ассортимент.
• Оптимальная площадь 1500 м2
• Высокий трафик – 60 100 посетителей в среднем в месяц на один магазин
• Большая пропускная способность кассовых узлов (до 12 касс на 1 магазин). Большое кол-во комфортных примерочных (до 15 шт. на 1 магазин)
• Понятная и удобная внутренняя навигация для покупателей
• Современный дизайн
• Детская зона и зона отдыха
МАГАЗИН | Формат
МАГАЗИН | Современный дизайн: лаконичный и модный
География присутствия и план развития
• Федеральный охват – свыше 125 магазинов в 65 городах. В 2014 году количество магазинов превысит 140
• Общая площадь магазинов – в 2014 году достигнет 170 000 м2. Средняя площадь магазина составляет 1 200 м2
Общее население в городах, где представлен МОДИС – более 48 млн. человек, в том числе:
• 15 городов – 1 млн.+
• 15 городов – 500 тыс. +
• 28 городов – 200 тыс.+
• 9 городов – 100 тыс.+
Modis: SAP Fashionworks Project
REASONS FOR CHANGE
• System cannot satisfy business needs in 2012
• System not scalable for growth in established strategic plans – Reached threshold in terms of integration
– No real reporting capabilities
– Not maintainable or upgradeable
• Platform technologically old
WHY BIRCHMAN
• Long experience in Fashion Retail
• Class-A references in the industry
• Reference visits with Fashionworks solution
• High quality consultants (experienced)
7 Weeks assessment on MODIS business processes
Implementation plan for standard scalable
SAP Retail Fashion solution
BIRCHMAN INTRODUCTION
SERVICES
Managed Services 30%
Solution Delivery 50%
Consulting
20% • Application Management
and Operations. • Technical Operations and
Infrastructure.
• Business strategy. • IT Strategy. • Architecture.
• Business processes and systems environment.
• Systems Development and Integration.
INDUSTRIES
Public
Administration 4%
Health 12%
Services &
telco 10%
Transportation &
logistics 15%
Retail & Fashion
25%
EMPLOYEES
130 160 210 290 350 420 450
2007 2008 2009 2010 2011 2012
GEOGRAPHICAL PRESENCE
UK London / Glasgow
Spain Madrid / Barcelona
Chile Santiago
Australia Sydney / Perth / Brisbane
Costa Rica Saint Jose
United Arab Emirates Dubai
Portugal Lisbon
South Africa Johannesburg
Dominican Rep. Santo Domingo
Industry
18%
2013
Russia Moscow
Banking &
Insurance 16%
+100 Fashion&
Retail
BIRCHMAN FASHIONWORKS
BIRCHMAN INTRODUCTION
Project Goals – Solid Foundation for Future Growth
• Efficient business processes – eliminate a lot of manual work • Improved (new) POS system seamlessly integrated with ERP • Improved (automated) integration with WMS systems • Improved FI/CO/FM closing and reporting • New BI (BW) for management and other reporting and analyses • Reliable and scalable IT infrastructure • Solid internal IT-SAP-POS team built • Solid external consultants willing to cooperate long-term • Organization ready to accept further SCM/Retail improvements
POS terminals – 800+
POS Servers in Stores - 129
SAP and BW end users – 400 + WPOM portal 200 – Total 600+
Virtal infrastructureVirtual infrastructure
SAP ERPSAP BW
POS DM MAPMODIS
DW solution
Process Integration
Central POS
QlikView
ELO, Other
MODIS SYSTEMS LANDSCAPE – KEY COMPONENTS
Servers
Storage
SAP Fashionworks for Modis - what is implemented/built
Key modules implemented:
1) SAP Retail – ERP solution using Birchman Fashionworks methodology/best practice
2) SAP Process Integration (PI) as integration hub for all applications
3) Business Warehouse as Modis data warehouse platform with Bex front end
4) POS DM central application/repository for sales (POS) data
5) Integration of POS DM with SAP Retail
6) SAP Landscape (dev, q&a, prod) with 10+ running instances
SAP Fashionworks for Modis – key business processes
Business processes:
1) Masted Data management – standard and extended tools (WMDM portal)
2) Purchasing with WPOM portal for vendor operations
3) Import logistics (with HUB, no HUB) with SAP transport/shipment module
4) Distribution center operations with integration with external logistics operators (ShareLand) and transport organizations
5) Distribution and Replenishment
6) In store SAP operations (goods, cash)
7) POS integration into new SAP infrastructure
8) Finance (General Ledger, Payment)
9) Controlling (new cost center hierarchy, new processes with interlan orders)
SAP Fashionworks for Modis – key business processes
Key figures:
• 1 Night go-live, no sales fall
• SAP: 700+ end users in the system
• POS: 129 stores (servers), central POS server, 900+ POS terminals
• WPOM vendor users: 200+
• Materials (articles, SKUs): 300.000, Stock: 4.000.000 items in stores
SAP Fashionworks for Modis – next steps
Next project activities immediate:
1. Finish migration until mid of May (with finance/controlling first month reporting from new system)
2. Migrate to new UKM POS (promotions, other improvements)
3. Category Management calculation of CPI, SPI, DP and other reporting
The following projects – extend functionality of new solution:
1) MAP implementation
2) Replace Bex and QlikView with SAP Business Objects front end
3) Implement CO-PA (profitability analysis)
4) Implement CRM
5) Upgrade of virtual infrastructure and backup system
Modis: Applications and Infrastruture Landscape
Applications landscape
Core IT Infrastructure in M1 datacenter
Compute resources (5 hosts/servers) Disk storage resources
HP 3PAR HP EVA
Core networking (SAN/LAN Switches)
VMware vSphere Virtual infrastructure with centralized management and monitoring
H1 H2 H3 H4 H5 D2D Backup
Disaster Recovery Datacenter for Core Business Services
(applications)
VMware SRM (DR extension)
TEST
SAP Retail ERP Landscape
DEV
PRODDB+CI
APP1
APP2
TESTDEV PROD
Datawarehouse Landscape (SAP BW)
New POSPOS Srv
POS Landscape BI (BO) Server
PI Server
Other Virtual Servers –
Exchange, AD, File/Print,
SharePoint...)1CHANA Phase 1HANA Ph2
POSDM CRM
Modis applications and virtual infrastructure landscape
Existing
Project in progress
MAP
HANA Appliances
Application and Process View
Modis: SAP MAP Implementation Challenge
Demand planning – structure and requirements
Strategic Planning Sales Budget at Sales org., distribution channel, brand and country
Sales Budget
Breakdown at division, agent, customer and product class
Merchandise Planning
Breakdown at division, product class and prod. group
Store Planning
Forecast
Calculate forecast from actual sales Options
Planning
Plan number of options per store cluster
Purchase Planning
Evaluate global demand (wholesale and retail) and release quantities to create purchase orders
Assortment Planning
Country Manager
Wholesale Manager
Retail Manager
Retail Product Manager
Sales Agent
Purchase Manager
Breakdown at store, division and product class
Plan quantities at SKU level per store cluster
TOP-DOWN PLANNING STRATEGY
Design, sales and purch.
Capsule Definition
Decide capsule configuration and deliv. dates
Board of directors
Fashionworks has a Merchandise and Assortment Plan solution for the Retail Fashion business that has evolved to a more flexible environment, SAP IP, conserving its integration quality with the transactional system.
Planning for retail overview – real time requirements
Strategic Planning
Merchandise Planning
Store Planning Assortment Planning
Capacity Planning
OTB
End of season
Promotions
Markdown planning. Replenishment
Purchasing
Update OTB
PLANNING
In Season
Pre Season
Store replenishment – real time and reliable forecast
Forecast flow
•Manual selection
•Automatic system selection
Define Forecast model
•Specify model parameters
Model Initialization •Stock withdrawn from the
warehouse
•Enter manually or interface
•Reference material consumption
•Alternative historical data (AHD)
Creating historical data
•Calculated by the system
•Enter manually
Create forecast values
SAP NetWeaver BW - New Architectural Paradigm
SAP NetWeaver BW
Data Modeling
HANA
Data Management
Data Storage
Analytical / Planning Engine
DBMS
SAP NetWeaver BW
Data Modeling
Analytical / Planning Engine
Relational Database
Data Management
Data Storage
SAP HANA Platform for Real Time Business
Modis „Big Data“
RETAIL co. - POS - volume of
transactions
Volume of sales 2.500.000.000 $
Avg sale amt 25 $
Avg no of items 3 8$ per
item
No of receipts/invoices 100.000.000 per
year
No of recpt lines 300.000.000 per
year
data warehouse 5 years recpt history 500.000.000
recpt lines 5 year 1.500.000.000
No of SKU 25.000
% of new SKU per year 40%
no of new SKU 10.000
SKU total 65.000
no of recpts/day (300 working days) 333.333
no of SKU/day 1.000.000
no of trans/sec (12 hours working day) 8
no of stores 400
no of billed customers per store per day 833 ?!
data volume (dw no compression)
dimension keys:
store 4
datetime 8
sku 18
tt 2
payment type 2
consumer type 4
repeating cust. 4
sku group 2
sku type 2
sku number 2
sku design/color 2
store region 2
uom 2
discount type 2
measures:
qty 8
price 8
cogs 8
discount 8
hard currency val 8
total bytes 96 ~100
Expected value (bytes) 100
fact table size (bytes) 150.000.000.0
00
B
fact table size (GB) 150 GB
Big Data Bundles for Retail from SAP
Information Management & Real-Time Data Movement
Transactional Data
Management
In-Memory Data
Management
Analytics EDW Data
Management
Mobile Data Management
Co
mm
on
Des
ign
&
Mo
del
ling
Envi
ron
men
t C
om
mo
n Lan
dscap
e En
viron
men
t
Open APIs and Protocols
SAP real time data platform
Federated Access
SAP Predictive Analysis
SAP Visual Intelligence
R, SAS, SPSS, etc. BusinessObjects BI Suite
3rd party, open source
analytic tools
The Future of Modis: HANA + Hadoop Enriching Retail POS with Customer Product Interest