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Case Study:
Wal-Mart Stores “Every Day Low Prices”
               In China

                    INTB 5000
    Webster University
                                         1
Webster University
                     2
Wal-Mart Stores “Every Day Low Prices” In China
FACTS:
    First opened in Shenzhen on August 12, 1996
    As of December 2007
         94 stores in 51 cities
         Employs 43,000+ associates
         Serves around 5 million customers per week
    Transition from rural US to metro/urban in China
    Competitive analysis a core value of the company
       Shopping 1,500 items and price matching them through “Special Buy” Analysis
    Major pressure from the Chinese regional governments to centralize in high growth
     regions
       About-face by Chinese govt. on Shanghai is of interest
       Has major implications on Wal-Mart’s ability to provide infrastructure for stores
    Supply Chain Challenges Abound
    Tier 1 cities include Beijing – Tianjin, Shanghai, Guangzhou
    Tier 2 cities include Chengdu, Nanjing, Chongqing, & Wuhan
    Tier 3 cities include Changzho, Jinhua, Mianyang




          Webster University
                                                                                            3
Wal-Mart Stores “Every Day Low Prices” In China

                                                  7,058 Units
                                             1.9 Million Associates
                            UK       23 offices sourcing from 70 countries
                         340 Units
Canada
292 Units
                                                                  Japan
                                                                 393 Units
                         US                                      China
                     4,103 Units                                86 Units
  Mexico          Puerto Rico
                    54 Units                                   Trust-Mart
 943 Units
                                                                101 Units
Central America                               India
   433 Units              Brazil          JV –Aug 2007
                         297 Units

                        Argentina
                         16 Units
             Webster University
                                                                   4
Wal-Mart Stores “Every Day Low Prices” In China




    Webster University
                                                  5
Wal-Mart Stores “Every Day Low Prices” In China
                                       China Sales
                                       In billion US dollars

 $400
                                       $344
 $350
                                $312
 $300                    $285
               $256
 $250   $230

 $200
 $150
 $100
  $50
  $0
        FY03    FY04     FY05   FY06   FY07




    Webster University
                                                               6
Wal-Mart Stores “Every Day Low Prices” In China




    Webster University
                                                  7
Wal-Mart Stores “Every Day Low Prices” In China




       Webster University
                                                  8
Wal-Mart Stores “Every Day Low Prices” In China




  Webster University
                                                  9
Wal-Mart Stores “Every Day Low Prices” In China




 Webster University
                                             10
Wal-Mart Stores “Every Day Low Prices” In China

  Opinions
  Customer focus is critical even in new markets
  Price leadership will work in other nations besides the US
  Supplier partnership deserves heavy investment
  Supply chain management is what this country needs
     Technology enablement is key
          EDI = Electronic Data Interchange
          VMI = Vendor Managed Inventory
          Satellite Links = For Real-time Updates
  Corporate Social Responsibility
        Environmental Sustainability
        Food & Product Safety
        Community Involvement


       Webster University
                                                           11
Wal-Mart China Five Forces Model

                                                                   • Foreign General Merchandisers or
                                       Potential                     Discounters
                                                                   • Established Chinese Retailers
                                     New Entrants                  •Asian Conglomerates with lower cost structures




                                  Competitive Rivalry
    Bargaining                    Rivals: Carrefour, Tesco
       Power                                                                           Bargaining
                                  and many other smaller
    of Suppliers                  shops                                              Power of Buyers
• U.S. Product Manufacturers                                                     •   Diversity of ethnic and economic
• Foreign Manufacturers                                                              backgrounds
• Local Government Restrictions
                                                                                 •   Consumers in Metropolitan
• Tariffs
•Slow Growth Initiatives
                                        Substitute                                   Areas with high per capita
                                                                                     income
                                         Products
                                                                                 •   Cultural bias for a specific
                                       and Services                                  condition of products, delivering
                                                                                     in a unique supply chain, is key to
                                       • Small, Village Shops                        these consumers
                                       •Regional Chains
                                       • Home grown (literally)
                                       • Global chains establishing new stores
Analysis: Wal-Mart Stores “Every Day Low Prices” In China
Value of goods procured from China
USD billions

                                                                          **

                             25-30*                                        2.6*

                                                                                                                       1.5*
                                                                   2.0
                                                                                  CAGR
                                      CAGR                                           26%
                     15                  33%               1.6
                                                                                                                               CAGR
                                                  1.3                                                                             20%
               12
        10.3
                                                                                              0.5

   4



2000     01    02   03        2007               2001       02     03     2004               2000                     2006
         Over 300 employees in the                      Procurement centers in                      Aims at consolidating volume
             Shenzhen global                                10 different cities of China               at country level to drive
             procurement center                         25% of 2003 volume (approx.                    cost savings, while
         18-20% of 2003 volume                              USD0.5 bn) sourced direct,                 simultaneously capturing
             (approx. USD2.5 bn) sourced                    with growth of 30% per year                country-specific
             direct                                                                                    advantages; e.g., in fleece
                                                                                                       fabric from Taiwan



        * Target value Webster University
       ** Including all categories; global sourcing in non-food categories would be approximately >80% of the total           13
Analysis: Wal-Mart Stores “Every Day Low Prices” In China




        Webster University
                                                     14
Analysis: Wal-Mart Stores “Every Day Low Prices” In China




         Webster University
                                                       15
Analysis: Wal-Mart Stores “Every Day Low Prices” In China




                        Source: Adapted from Garrison Wieland for “Wal-Mart’s Supply Chain,”
                           Harvard Business Review 70(2; March–April 1992), pp. 60–71.
        Webster University
                                                                                               16
Warehouse and
                     Distribution Center
                     Management System

Webster University
                                      17
Analysis: Wal-Mart RFID Plan


        Base                      In transit                Regional                  Walmart            Walmart,
        Manufacturing                                                                                    Sam’s Club
                                               Product                 Distribution                      and
AiO &          Malaysia                        Completion                                                Neighborhood
Personal       Flextronics                     Center                                                    Market Stores
Printers

AiO &          Shanghai                                                  Memphis
Personal       Calcomp                          Memphis
                                                                         Menlo           Walmart
Printers                                        Flex
                                                                                         DC1
                                                                                         Sanger,
Scanners       Shenzhen                                                                  Texas
&              Mentor Media
Cameras
                                                                                         Walmart
                                                                                         DC2
               Bangkok
AIO                                                                                      Cleburn,
               Venture                                                                   Texas

Toner          Hong Kong
               Canon
                                                                                         Walmart
Toner/                                           Guadalajara                             DC3 De-
Personal
               Tokyo                             Flex                                    Soto, Texas
               Canon
Laserjet
                                                 Guadalajara                             Supply Site
Personal LJ    Canon China                       Jabill
                                                                                         Tag Site
                                                 Virginia
InkJet
               Various                           Sonoco                                  Delivery Site
Supplies
                 Webster University
                                                                                                                18
Analysis: Value Chain Analysis
                Identifying Resources and Capabilities That Can Add Value


               Firm Infrastructure

Support
               Human Resource Management
Activities
               Technological Development
               Procurement




                                                                 Service
                            Operations

                                         Outbound


                                                     Marketing
             Logistics
             Inbound




                                                      & Sales
                                         Logistics




               Webster University
                         Primary Activities                                 19
Wal-Mart Value Chain Analysis, China Specific
              Firm        Inferior fixtures standardization, Trucks, Average store size 84,000
         Infrastructure   square feat
                          Non-unionized, Full autonomy to associates, Decentralized,
Activities

         Human Resource
Support



          Management      profit sharing program, Job rotation, Stock purchase plan
          Technology      UPC at POS, EDI, Information system, VMI ,Cross ducking , Satellite
         Development      system, CPFR
         Procurement      Maintain long-term relationship, No single supplier accounting for
                          more than 2.4%, Selective suppliers ( P&G & GE), NO nonsense policy

                          VMI           Six days a     Two step      Everyday       ECR




                                                                                                       Margin
                           system          week(9~21)     hub and         low price     Satisfactio
                          Retail link     Monday         spoke         Always         n
                                                                        low
                          EDI           (12:30~17:30)                                    guarantee
                                                                          price,
                          CPFR                          distributing     always          policy
                                                           system       Self           Quick
                                                                        service           response
                                                                        Cash and         (QR)
                                                                          carry
                                                                        Save
                                                                        money,
                                                                          live better
                                                                        credit card,
             Primary        Inbound                       Outbound      Layaway
                                                                          Marketing      After Sales
                                          Operations
             Activities     Logistics                      Logistics      plan
                                                                           & Sales        Service


                      Webster University
                                                                                                           20
Recommendation Framework:
Wal-Mart Stores “Every Day Low Prices” In China




   Webster University
                                                  21
Recommendation: Increase the Accuracy and Velocity
        of the Chinese Supply Chain With Heavy Investment
                           in IT (RFID)

   With “slap and ship” you just spend money – use
    the information
   pallet logical build process reduced from minutes
    to seconds
   Improvements in transfer of pallet/case-level
    inventory between manufacturing and distribution
    center sites
   Operational benefits from improvements in
    outbound processes
   Automated identification at key stages of the
    assembly production line to gain manufacturing
    efficiencies
   Master data management influences the NPDI
    process
   Global deployment not easy



              Webster University
                                                        22
Webster University
                     23
Webster University
                     24
Recommendation:
Better Collaborative Planning & Forecasting Processes are Needed                 Seller


       Once
                FRONT END AGREEMENT
                                                                          Collaborative
                                                                               Planning
              Qtr.
                        JOINT BUSINESS PLAN


                                 CREATE SALES FORECAST
                                                                          Collaborative
               Wk, Mo




                                   IDENTIFY EXCEPTIONS
                                                                           Forecasting
                                   RESOLVE EXCEPTIONS


                                                                       Collaborative
                                     CREATE ORDER FORECAST
                                                                      Replenishment
                        Wk, Mo




                                        IDENTIFY EXCEPTIONS

                                        RESOLVE EXCEPTIONS


                                                         GENERATE ORDER
 Buyer         Webster University
                                                                                  25
Recommendation: Buy Trust-Mart




                                                              黑龙江


                                                         吉林
   新疆                                                辽宁
                宁夏
                          内蒙古
                                               北京
                                          河北
           青海                        山西
                                               山东

   西藏                      陕西
                                     河南         江苏

                      四川
                           河北

                                 湖南        江西
                          贵州                        福建

                     云南
                                广西         广东




Webster University
                                                                    26
Recommendation: Invest heavily in the 3K to 20K sq. ft. store segment and
      make analytics and supply chain performance real-time




          Webster University
                                                                            27
MAGAZINE


                  ASDA
                  LIVING




                                 mini
           Webster University   bompreco
                                     ˜     28

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Case Study: WalMart Stores “Every Day Low Prices” In China

  • 1. Case Study: Wal-Mart Stores “Every Day Low Prices” In China INTB 5000 Webster University 1
  • 3. Wal-Mart Stores “Every Day Low Prices” In China FACTS:  First opened in Shenzhen on August 12, 1996  As of December 2007  94 stores in 51 cities  Employs 43,000+ associates  Serves around 5 million customers per week  Transition from rural US to metro/urban in China  Competitive analysis a core value of the company  Shopping 1,500 items and price matching them through “Special Buy” Analysis  Major pressure from the Chinese regional governments to centralize in high growth regions  About-face by Chinese govt. on Shanghai is of interest  Has major implications on Wal-Mart’s ability to provide infrastructure for stores  Supply Chain Challenges Abound  Tier 1 cities include Beijing – Tianjin, Shanghai, Guangzhou  Tier 2 cities include Chengdu, Nanjing, Chongqing, & Wuhan  Tier 3 cities include Changzho, Jinhua, Mianyang Webster University 3
  • 4. Wal-Mart Stores “Every Day Low Prices” In China 7,058 Units 1.9 Million Associates UK 23 offices sourcing from 70 countries 340 Units Canada 292 Units Japan 393 Units US China 4,103 Units 86 Units Mexico Puerto Rico 54 Units Trust-Mart 943 Units 101 Units Central America India 433 Units Brazil JV –Aug 2007 297 Units Argentina 16 Units Webster University 4
  • 5. Wal-Mart Stores “Every Day Low Prices” In China Webster University 5
  • 6. Wal-Mart Stores “Every Day Low Prices” In China China Sales In billion US dollars $400 $344 $350 $312 $300 $285 $256 $250 $230 $200 $150 $100 $50 $0 FY03 FY04 FY05 FY06 FY07 Webster University 6
  • 7. Wal-Mart Stores “Every Day Low Prices” In China Webster University 7
  • 8. Wal-Mart Stores “Every Day Low Prices” In China Webster University 8
  • 9. Wal-Mart Stores “Every Day Low Prices” In China Webster University 9
  • 10. Wal-Mart Stores “Every Day Low Prices” In China Webster University 10
  • 11. Wal-Mart Stores “Every Day Low Prices” In China Opinions Customer focus is critical even in new markets Price leadership will work in other nations besides the US Supplier partnership deserves heavy investment Supply chain management is what this country needs Technology enablement is key EDI = Electronic Data Interchange VMI = Vendor Managed Inventory Satellite Links = For Real-time Updates Corporate Social Responsibility  Environmental Sustainability  Food & Product Safety  Community Involvement Webster University 11
  • 12. Wal-Mart China Five Forces Model • Foreign General Merchandisers or Potential Discounters • Established Chinese Retailers New Entrants •Asian Conglomerates with lower cost structures Competitive Rivalry Bargaining Rivals: Carrefour, Tesco Power Bargaining and many other smaller of Suppliers shops Power of Buyers • U.S. Product Manufacturers • Diversity of ethnic and economic • Foreign Manufacturers backgrounds • Local Government Restrictions • Consumers in Metropolitan • Tariffs •Slow Growth Initiatives Substitute Areas with high per capita income Products • Cultural bias for a specific and Services condition of products, delivering in a unique supply chain, is key to • Small, Village Shops these consumers •Regional Chains • Home grown (literally) • Global chains establishing new stores
  • 13. Analysis: Wal-Mart Stores “Every Day Low Prices” In China Value of goods procured from China USD billions ** 25-30* 2.6* 1.5* 2.0 CAGR CAGR 26% 15 33% 1.6 CAGR 1.3 20% 12 10.3 0.5 4 2000 01 02 03 2007 2001 02 03 2004 2000 2006 Over 300 employees in the Procurement centers in Aims at consolidating volume Shenzhen global 10 different cities of China at country level to drive procurement center 25% of 2003 volume (approx. cost savings, while 18-20% of 2003 volume USD0.5 bn) sourced direct, simultaneously capturing (approx. USD2.5 bn) sourced with growth of 30% per year country-specific direct advantages; e.g., in fleece fabric from Taiwan * Target value Webster University ** Including all categories; global sourcing in non-food categories would be approximately >80% of the total 13
  • 14. Analysis: Wal-Mart Stores “Every Day Low Prices” In China Webster University 14
  • 15. Analysis: Wal-Mart Stores “Every Day Low Prices” In China Webster University 15
  • 16. Analysis: Wal-Mart Stores “Every Day Low Prices” In China Source: Adapted from Garrison Wieland for “Wal-Mart’s Supply Chain,” Harvard Business Review 70(2; March–April 1992), pp. 60–71. Webster University 16
  • 17. Warehouse and Distribution Center Management System Webster University 17
  • 18. Analysis: Wal-Mart RFID Plan Base In transit Regional Walmart Walmart, Manufacturing Sam’s Club Product Distribution and AiO & Malaysia Completion Neighborhood Personal Flextronics Center Market Stores Printers AiO & Shanghai Memphis Personal Calcomp Memphis Menlo Walmart Printers Flex DC1 Sanger, Scanners Shenzhen Texas & Mentor Media Cameras Walmart DC2 Bangkok AIO Cleburn, Venture Texas Toner Hong Kong Canon Walmart Toner/ Guadalajara DC3 De- Personal Tokyo Flex Soto, Texas Canon Laserjet Guadalajara Supply Site Personal LJ Canon China Jabill Tag Site Virginia InkJet Various Sonoco Delivery Site Supplies Webster University 18
  • 19. Analysis: Value Chain Analysis Identifying Resources and Capabilities That Can Add Value Firm Infrastructure Support Human Resource Management Activities Technological Development Procurement Service Operations Outbound Marketing Logistics Inbound & Sales Logistics Webster University Primary Activities 19
  • 20. Wal-Mart Value Chain Analysis, China Specific Firm Inferior fixtures standardization, Trucks, Average store size 84,000 Infrastructure square feat Non-unionized, Full autonomy to associates, Decentralized, Activities Human Resource Support Management profit sharing program, Job rotation, Stock purchase plan Technology UPC at POS, EDI, Information system, VMI ,Cross ducking , Satellite Development system, CPFR Procurement Maintain long-term relationship, No single supplier accounting for more than 2.4%, Selective suppliers ( P&G & GE), NO nonsense policy VMI Six days a Two step Everyday ECR Margin system week(9~21) hub and low price Satisfactio Retail link Monday spoke Always n low EDI (12:30~17:30) guarantee price, CPFR distributing always policy system Self Quick service response Cash and (QR) carry Save money, live better credit card, Primary Inbound Outbound Layaway Marketing After Sales Operations Activities Logistics Logistics plan & Sales Service Webster University 20
  • 21. Recommendation Framework: Wal-Mart Stores “Every Day Low Prices” In China Webster University 21
  • 22. Recommendation: Increase the Accuracy and Velocity of the Chinese Supply Chain With Heavy Investment in IT (RFID)  With “slap and ship” you just spend money – use the information  pallet logical build process reduced from minutes to seconds  Improvements in transfer of pallet/case-level inventory between manufacturing and distribution center sites  Operational benefits from improvements in outbound processes  Automated identification at key stages of the assembly production line to gain manufacturing efficiencies  Master data management influences the NPDI process  Global deployment not easy Webster University 22
  • 25. Recommendation: Better Collaborative Planning & Forecasting Processes are Needed Seller Once FRONT END AGREEMENT Collaborative Planning Qtr. JOINT BUSINESS PLAN CREATE SALES FORECAST Collaborative Wk, Mo IDENTIFY EXCEPTIONS Forecasting RESOLVE EXCEPTIONS Collaborative CREATE ORDER FORECAST Replenishment Wk, Mo IDENTIFY EXCEPTIONS RESOLVE EXCEPTIONS GENERATE ORDER Buyer Webster University 25
  • 26. Recommendation: Buy Trust-Mart 黑龙江 吉林 新疆 辽宁 宁夏 内蒙古 北京 河北 青海 山西 山东 西藏 陕西 河南 江苏 四川 河北 湖南 江西 贵州 福建 云南 广西 广东 Webster University 26
  • 27. Recommendation: Invest heavily in the 3K to 20K sq. ft. store segment and make analytics and supply chain performance real-time Webster University 27
  • 28. MAGAZINE ASDA LIVING mini Webster University bompreco ˜ 28