Sector Update: Textile and Apparel Industries Transforming Enterprise January 28, 2003 Jan Hammond  Harvard Business School
Industry Overview: Bases of Competition Price/Cost Overcapacity, retail consolidation. Prices dropping: e.g. 1994 – 2002, CPI  up  ~23% Women’s/Girls Apparel price index  down  ~13% Quality Look, feel, durability... Fashion Short product life cycles, unpredictable demand Variety Closets are full: consumers need a reason to buy
Competitive Impetus for Lean Retailing  with Technology as an Enabler Need for New Supply Channel Management Models & Practices Short Product Life Cycles Forecasting Uncertainty Inventory Risk Lean Retailing Weekly+ replenishment  Small order quantities Short lead times Technological Enablers: Barcodes and Scanners Product level identification Shipping container identification EDI & Internet Automated Distribution Centers Product Proliferation
Channel Structure: Traditional Retailer-Supplier Dynamics Apparel Plant 1 Apparel Plant 2 Apparel Plant n Retailer’s Warehouse Retail Store 1 Retail Store 2 Retail Store m Manufacturer’s Warehouse Low Frequency Retail Order Large Bulk Shipments  Apparel Plant n Weekly Orders Apparel Plant 1 Apparel Plant 2 Retailer’s Distribution  Center Retail Store 1 Retail Store 2 Retail Store m Manufacturer’s  Distribution Center Channel Structure: Lean Retailer-Supplier Dynamics Small Replenishment Shipments
Source: Standard and Poors, 2002
Distinctive Aspects of Industry:  Factors Affecting E-Commerce Adoption Difficult to specify key aspects of product Fit Color Touch and feel Reviews by customers, industry experts, independent performance evaluations not as helpful Emotional aspects to purchase Brands help (somewhat) Some product categories easier: Basic products:  More familiar touch, feel, and fit; Less expensive Less important emotionally Product with clear sizing standards
Business to Consumer
Evidence of Industry Challenges (B2C) Returns high Casual sportswear: 12% - 18% Fitted fashions: 20%-28% “ High” fashion: up to 35% vs. average on-line return rate among all product types ~10%   Returns expensive to process Arrive one at a time, not necessarily in good condition Need to be classified, undergo quality control with a determination made: Repackage and back to inventory? Back to vendor? Liquidate?  Requires higher level of judgment in distribution center Customer credit (scan or input order number) Update inventory/sales systems Example:  Spiegel volume: 6M units/year: 24,000/day
Technological “Solutions” Zoom Technology Color Representation Technology Swatch Technology Technology to address fit challenges: “ Personalized” on-line “models” Input your measurements and other characteristics: “try clothing on” the model Take body measurements “ Fit calculators” translate measurements to sizes Body scanning Fidelity issues And … do you want to see your own body online? Marketers want images more “aspirational” Alight.com for “plus sizes”: you give measurements: no image, just says “loose”, “tight” or “best” fit
Mass Customization Dell Model: Book orders  prior  to manufacturing But, can’t hold all components like Dell.  Fabrication required as well as assembly; Color matching critical. Custom Fit In store measurement/ordering: Levi’s jeans: measure Brooks Brothers’ shirts: measure Brooks Brothers’ suits: body scan On-line measurement/ordering: Lands’ End Take own measurements Jeans, chinos: now 40% of all purchases are custom fit Price premium ~50% Moving into men’s shirts, trousers Custom Design Fabric, components, style options
B2C Issues for Different Participants Bricks and Mortar Retailers Different data requirements Order fulfillment challenges Manufacturers Channel conflict Order fulfillment challenges Catalog Companies Easiest transfer, but new skills required Pure Plays Order fulfillment challenges Need brands to instill consumer confidence
Case Study - Levi Strauss 11/23/98:  On-line Launch #1 e-mailed consumer request for direct on-line sales of Docker products - Levi launches on-line sales of Levi and Docker brands Industry debate: Levi should first use the web to improve spotty fulfillment record with retailers instead of using web to sell direct 01/99: On-line Exclusivity Levi retains exclusive rights to selling Dockers and Levi on line sales of Levi and Docker brands declared off limits on all retailer web sites: anger in channel
B2C - Levi Strauss 11/99: Off Line Levi announces halt to e-commerce efforts and web sales post holiday season Instead, Levi will use site as a merchandising vehicle, with final sale directed to retail partner sites All online efforts now moved to JC Penney and Macy’s Debate: why Levi changed online strategy: Overwhelming opinion claimed due to channel conflict Others claimed Levi was caught in a fulfillment challenge as they failed to develop an infrastructure to support the site Levi announces a renewed focus on working hand-in-hand with retailers to meet consumer needs 01/03: Continue to sell on Penney and Macy’s site.
Partnerships Fewer in each category choosing to “go it alone”:  Combine bricks and mortar presence and online capabilities: Levi’s and Macys/JC Penney partnerships Sears bought Lands’ End Amazon site: Sears/Lands’ End, Eddie Bauer, Target, Gap, Liz Claiborne, …
On-line apparel sales growing  (much at expense of catalog sales) Source: Standard & Poors, 2002
Expect continued growth,  but understand challenges Amazon entry is a big deal: First 6 weeks of Amazon apparel store site (holiday season): $1.29 billion sales, # 2 only to computers, at $1.32 billion  Partnerships critical: combine brand name w/ bricks and mortar w/ on-line fulfillment capabilities More women using the internet
Business to Business
Forces Driving Implementation Demand unpredictability is high: the need for improved  channel information  is considerable.  The high fragmentation of plants and global dispersion of plants make the need for transparency high: there are many local players who benefit from lack of good market information. “ Pain” in the industry is high; there is great room for improvement.
Expected Performance Benefits Decreased cost of communication in the channel.  Extension of lean retailing practices From EDI to web based: easier to scale, maintain, improve Estimate for Sears for purchase orders alone: Purchase order cost expected to drop from $100/order (cost w/ previous EDI system) to $10/order (using Web-based retail exchange) Annual savings for 100 million purchasing orders ~ $9 billion/year Improved visibility in the supply chain  Improved forecasting capability Reduced channel inventories Improved design
Forces Hindering Implementation Difficulties of  specification  persist:  Products, plant capabilities and components are difficult to characterize. Apparel plants are  small , with relatively low levels of sophistication.  Implementation  will be challenging. The  complexity  of interaction among channel partners is relatively high.  Communicating about product design, product quality, plant capabilities, involves significant  subjectivity .  This type of communication will be harder to put on line.   Intermediaries provide domain expertise and local knowledge that will be hard to automate. Deep knowledge is required to be effective
B2B Auctions, Exchanges, etc. Tightly coordinated supply chains Breadth  of Relationships Depth  of Relationships Where the hype has been Where many of the benefits lie Understanding the Value Proposition for Textile-Apparel-Retail B2Bs

Hammond

  • 1.
    Sector Update: Textileand Apparel Industries Transforming Enterprise January 28, 2003 Jan Hammond Harvard Business School
  • 2.
    Industry Overview: Basesof Competition Price/Cost Overcapacity, retail consolidation. Prices dropping: e.g. 1994 – 2002, CPI up ~23% Women’s/Girls Apparel price index down ~13% Quality Look, feel, durability... Fashion Short product life cycles, unpredictable demand Variety Closets are full: consumers need a reason to buy
  • 3.
    Competitive Impetus forLean Retailing with Technology as an Enabler Need for New Supply Channel Management Models & Practices Short Product Life Cycles Forecasting Uncertainty Inventory Risk Lean Retailing Weekly+ replenishment Small order quantities Short lead times Technological Enablers: Barcodes and Scanners Product level identification Shipping container identification EDI & Internet Automated Distribution Centers Product Proliferation
  • 4.
    Channel Structure: TraditionalRetailer-Supplier Dynamics Apparel Plant 1 Apparel Plant 2 Apparel Plant n Retailer’s Warehouse Retail Store 1 Retail Store 2 Retail Store m Manufacturer’s Warehouse Low Frequency Retail Order Large Bulk Shipments Apparel Plant n Weekly Orders Apparel Plant 1 Apparel Plant 2 Retailer’s Distribution Center Retail Store 1 Retail Store 2 Retail Store m Manufacturer’s Distribution Center Channel Structure: Lean Retailer-Supplier Dynamics Small Replenishment Shipments
  • 5.
  • 6.
    Distinctive Aspects ofIndustry: Factors Affecting E-Commerce Adoption Difficult to specify key aspects of product Fit Color Touch and feel Reviews by customers, industry experts, independent performance evaluations not as helpful Emotional aspects to purchase Brands help (somewhat) Some product categories easier: Basic products: More familiar touch, feel, and fit; Less expensive Less important emotionally Product with clear sizing standards
  • 7.
  • 8.
    Evidence of IndustryChallenges (B2C) Returns high Casual sportswear: 12% - 18% Fitted fashions: 20%-28% “ High” fashion: up to 35% vs. average on-line return rate among all product types ~10% Returns expensive to process Arrive one at a time, not necessarily in good condition Need to be classified, undergo quality control with a determination made: Repackage and back to inventory? Back to vendor? Liquidate? Requires higher level of judgment in distribution center Customer credit (scan or input order number) Update inventory/sales systems Example: Spiegel volume: 6M units/year: 24,000/day
  • 9.
    Technological “Solutions” ZoomTechnology Color Representation Technology Swatch Technology Technology to address fit challenges: “ Personalized” on-line “models” Input your measurements and other characteristics: “try clothing on” the model Take body measurements “ Fit calculators” translate measurements to sizes Body scanning Fidelity issues And … do you want to see your own body online? Marketers want images more “aspirational” Alight.com for “plus sizes”: you give measurements: no image, just says “loose”, “tight” or “best” fit
  • 10.
    Mass Customization DellModel: Book orders prior to manufacturing But, can’t hold all components like Dell. Fabrication required as well as assembly; Color matching critical. Custom Fit In store measurement/ordering: Levi’s jeans: measure Brooks Brothers’ shirts: measure Brooks Brothers’ suits: body scan On-line measurement/ordering: Lands’ End Take own measurements Jeans, chinos: now 40% of all purchases are custom fit Price premium ~50% Moving into men’s shirts, trousers Custom Design Fabric, components, style options
  • 11.
    B2C Issues forDifferent Participants Bricks and Mortar Retailers Different data requirements Order fulfillment challenges Manufacturers Channel conflict Order fulfillment challenges Catalog Companies Easiest transfer, but new skills required Pure Plays Order fulfillment challenges Need brands to instill consumer confidence
  • 12.
    Case Study -Levi Strauss 11/23/98: On-line Launch #1 e-mailed consumer request for direct on-line sales of Docker products - Levi launches on-line sales of Levi and Docker brands Industry debate: Levi should first use the web to improve spotty fulfillment record with retailers instead of using web to sell direct 01/99: On-line Exclusivity Levi retains exclusive rights to selling Dockers and Levi on line sales of Levi and Docker brands declared off limits on all retailer web sites: anger in channel
  • 13.
    B2C - LeviStrauss 11/99: Off Line Levi announces halt to e-commerce efforts and web sales post holiday season Instead, Levi will use site as a merchandising vehicle, with final sale directed to retail partner sites All online efforts now moved to JC Penney and Macy’s Debate: why Levi changed online strategy: Overwhelming opinion claimed due to channel conflict Others claimed Levi was caught in a fulfillment challenge as they failed to develop an infrastructure to support the site Levi announces a renewed focus on working hand-in-hand with retailers to meet consumer needs 01/03: Continue to sell on Penney and Macy’s site.
  • 14.
    Partnerships Fewer ineach category choosing to “go it alone”: Combine bricks and mortar presence and online capabilities: Levi’s and Macys/JC Penney partnerships Sears bought Lands’ End Amazon site: Sears/Lands’ End, Eddie Bauer, Target, Gap, Liz Claiborne, …
  • 15.
    On-line apparel salesgrowing (much at expense of catalog sales) Source: Standard & Poors, 2002
  • 16.
    Expect continued growth, but understand challenges Amazon entry is a big deal: First 6 weeks of Amazon apparel store site (holiday season): $1.29 billion sales, # 2 only to computers, at $1.32 billion Partnerships critical: combine brand name w/ bricks and mortar w/ on-line fulfillment capabilities More women using the internet
  • 17.
  • 18.
    Forces Driving ImplementationDemand unpredictability is high: the need for improved channel information is considerable. The high fragmentation of plants and global dispersion of plants make the need for transparency high: there are many local players who benefit from lack of good market information. “ Pain” in the industry is high; there is great room for improvement.
  • 19.
    Expected Performance BenefitsDecreased cost of communication in the channel. Extension of lean retailing practices From EDI to web based: easier to scale, maintain, improve Estimate for Sears for purchase orders alone: Purchase order cost expected to drop from $100/order (cost w/ previous EDI system) to $10/order (using Web-based retail exchange) Annual savings for 100 million purchasing orders ~ $9 billion/year Improved visibility in the supply chain Improved forecasting capability Reduced channel inventories Improved design
  • 20.
    Forces Hindering ImplementationDifficulties of specification persist: Products, plant capabilities and components are difficult to characterize. Apparel plants are small , with relatively low levels of sophistication. Implementation will be challenging. The complexity of interaction among channel partners is relatively high. Communicating about product design, product quality, plant capabilities, involves significant subjectivity . This type of communication will be harder to put on line. Intermediaries provide domain expertise and local knowledge that will be hard to automate. Deep knowledge is required to be effective
  • 21.
    B2B Auctions, Exchanges,etc. Tightly coordinated supply chains Breadth of Relationships Depth of Relationships Where the hype has been Where many of the benefits lie Understanding the Value Proposition for Textile-Apparel-Retail B2Bs