Homework Paper
Supply Chain Management: Strategy, Planning, and Operation
Seventh Edition
Chapter 4
Designing Distribution Networks and Applications to Omni-Channel Retailing
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1
Learning Objectives
4.1 Identify the key factors to be considered when designing a distribution network.
4.2 Discuss the strengths and weaknesses of various distribution options.
4.3 Describe how omni-channel retail may be structured to be both cost effective and responsive to customer needs.
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Distribution Network Design in the Supply Chain
Distribution – the steps taken to move and store a product from the supplier stage to the customer stage in a supply chain
Drives profitability by directly affecting supply chain cost and the customer value
Choice of distribution network can achieve supply chain objectives from low cost to high responsiveness
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Factors Affecting Distribution Network Design (1 of 3)
Distribution network performance evaluated along two dimensions
Value provided to the customer
Cost of meeting customer needs
Evaluate the impact on customer service and cost for different distribution network options
Profitability of the delivery network determined by revenue from met customer needs and network costs
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Factors Affecting Distribution Network Design (2 of 3)
Elements of customer service influenced by network structure:
Response time
Product variety
Product availability
Customer experience
Time to market
Order visibility
Returnability
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Factors Affecting Distribution Network Design (3 of 3)
Supply chain costs affected by network structure:
Inventories
Transportation
Facilities
Information
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Desired Response Time and Number of Facilities
Figure 4-1 Relationship Between Desired Response Time and Number of Facilities
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Notes: Increasing the number of facilities moves them closer to the end consumer. This reduces the response time. As Amazon has built warehouses, the average time from the warehouse to the end consumer has decreased. McMaster-Carr provides 1-2 day coverage of most of the U.S from 6 facilities. W.W. Grainger is able to increase coverage to same day delivery using about 370 facilities.
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Inventory Costs and Number of Facilities
Figure 4-2 Relationship Between Number of Facilities and Inventory Costs
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Notes: Inventory costs increase, facility costs increase, and transportation costs decrease as we increase the number of facilities.
8
Transportation Costs and Number of Facilities
Figure 4-3 Relationship Between Number of Facilities and Transportation Cost
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Notes: Inventory costs increase, facility costs increase, and transportation costs decrease as we increase the number of facilities.
9
Facility Costs and Number of Facilities
Figure 4-4 Relationship Between Number of Facilities and Facility Costs
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Notes: Inventory costs increase, facility costs increase, and transportation costs decrease as we increase the number of facilities.
10
Logistics Cost, Response Time, and Number of Facilities
Figure 4-5 Variation in Logistics Cost and Response Time with Number of Facilities
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Summary of Learning Objective 1
A manager must consider the customer needs to be met and the cost of meeting these needs when designing the distribution network. Some key customer needs to be considered include response time, product variety/availability, convenience, order visibility, and returnability. Important costs that managers must consider include inventory, transportation, facilities and handling, and information. Increasing the number of facilities decreases the response time and transportation cost but increases inventory and facility cost.
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Design Options for a Distribution Network (1 of 2)
Distribution network choices from the manufacturer to the end consumer
Two key decisions
Will product be delivered to the customer location or picked up from a prearranged site?
Will product flow through an intermediary (or intermediate location)?
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Design Options for a Distribution Network (2 of 2)
One of six designs may be used
Manufacturer storage with direct shipping
Manufacturer storage with direct shipping and in-transit merge
Distributor storage with carrier delivery
Distributor storage with last-mile delivery
Manufacturer/distributor storage with customer pickup
Retail storage with customer pickup
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Figure 4-6 Manufacturer Storage with Direct Shipping
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Manufacturer Storage with Direct Shipping Network (1 of 2)
Table 4-1 Performance Characteristics of Manufacturer Storage with Direct Shipping Network
| Cost Factor | Performance |
| Inventory | Lower costs because of aggregation. Benefits of aggregation are highest for low-demand, high-value items. Benefits are large if product customization can be postponed at the manufacturer. |
| Transportation | Higher transportation costs because of increased distance and disaggregate shipping. |
| Facilities and handling | Lower facility costs because of aggregation. Some saving on handling costs if manufacturer can manage small shipments or ship from production line. |
| Information | Significant investment in information infrastructure to integrate manufacturer and retailer. |
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Manufacturer Storage with Direct Shipping Network (2 of 2)
Table 4-1 [Continued]
| Service Factor | Performance |
| Response time | Long response time of one to two weeks because of increased distance and two stages for order processing. Response time may vary by product, thus complicating receiving. |
| Product variety | Easy to provide a high level of variety. |
| Product availability | Easy to provide a high level of product availability because of aggregation at manufacturer. |
| Customer experience | Good in terms of home delivery but can suffer if order from several manufacturers is sent as partial shipments. |
| Time to market | Fast, with the product available as soon as the first unit is produced. |
| Order visibility | More difficult but also more important from a customer service perspective. |
| Returnability | Expensive and difficult to implement. |
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Figure 4-7 In-Transit Merge Network
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In-Transit Merge (1 of 2)
Table 4-2 Performance Characteristics of In-Transit Merge
| Cost Factor | Performance |
| Inventory | Similar to drop-shipping. |
| Transportation | Somewhat lower transportation costs than drop-shipping. |
| Facilities and handling | Handling costs higher than drop-shipping at carrier; receiving costs lower at customer. |
| Information | Investment is somewhat higher than for drop-shipping. |
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In-Transit Merge (2 of 2)
Table 4-2 [Continued]
| Service Factor | Performance |
| Response time | Similar to drop-shipping; may be marginally higher. |
| Product variety | Similar to drop-shipping. |
| Product availability | Similar to drop-shipping. |
| Customer experience | Better than drop-shipping because only a single delivery is received. |
| Time to market | Similar to drop-shipping. |
| Order visibility | Similar to drop-shipping. |
| Returnability | Similar to drop-shipping. |
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Figure 4-8 Distributor Storage with Carrier Delivery
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Distributor Storage with Carrier Delivery (1 of 2)
Table 4-3 Performance Characteristics of Distributor Storage with Carrier Delivery
| Cost Factor | Performance |
| Inventory | Higher than manufacturer storage. Difference is not large for faster-moving items but can be large for very slow-moving items. |
| Transportation | Lower than manufacturer storage. Reduction is highest for faster-moving items. |
| Facilities and handling | Somewhat higher than manufacturer storage. The difference can be large for very-slow-moving items. |
| Information | Simpler infrastructure compared to manufacturer storage. |
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Distributor Storage with Carrier Delivery (2 of 2)
Table 4-3 [Continued]
| Service Factor | Performance |
| Response time | Faster than manufacturer storage. |
| Product variety | Lower than manufacturer storage. |
| Product availability | Higher cost to provide the same level of availability as manufacturer storage. |
| Customer experience | Better than manufacturer storage with drop-shipping. |
| Time to market | Higher than manufacturer storage. |
| Order visibility | Easier than manufacturer storage. |
| Returnability | Easier than manufacturer storage. |
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Figure 4-9 Distributor Storage with Last Mile Delivery
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Distributor Storage with Last Mile Delivery (1 of 2)
Table 4-4 Performance Characteristics of Distributor Storage with Last-Mile Delivery
| Cost Factor | Performance |
| Inventory | Higher than distributor storage with package carrier delivery. |
| Transportation | Very high cost given minimal scale economies. Higher than any other distribution option. |
| Facilities and handling | Facility costs higher than manufacturer storage or distributor storage with package carrier delivery, but lower than a chain of retail stores. |
| Information | Similar to distributor storage with package carrier delivery. |
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Distributor Storage with Last Mile Delivery (2 of 2)
Table 4-4 [Continued]
| Service Factor | Performance |
| Response time | Very quick. Same day to next-day delivery. |
| Product variety | Somewhat less than distributor storage with package carrier delivery but larger than retail stores. |
| Product availability | More expensive to provide availability than any other option except retail stores. |
| Customer experience | Very good, particularly for bulky items. |
| Time to market | Slightly longer than distributor storage with package carrier delivery. |
| Order visibility | Less of an issue and easier to implement than manufacturer storage or distributor storage with package carrier delivery. |
| Returnability | Easier to implement than other previous options. Harder and more expensive than a retail network. |
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Figure 4-10 Manufacturer or Distributor Storage with Customer Pickup
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Manufacturer or Distributor Storage with Customer Pickup (1 of 2)
Table 4-5 Performance Characteristics of Network with Customer Pickup Sites
| Cost Factor | Performance |
| Inventory | Can match any other option, depending on the location of inventory. |
| Transportation | Lower than the use of package carriers, especially if using an existing delivery network. |
| Facilities and handling | Facility costs can be high if new facilities have to be built. Costs are lower if existing facilities are used. The increase in handling cost at the pickup site can be significant. |
| Information | Significant investment in infrastructure required. |
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Manufacturer or Distributor Storage with Customer Pickup (2 of 2)
Table 4-5 [Continued]
| Service Factor | Performance |
| Response time | Similar to package carrier delivery with manufacturer or distributor storage. Same-day pickup is possible for items stored at regional DC. |
| Product variety | Similar to other manufacturer or distributor storage options. |
| Product availability | Similar to other manufacturer or distributor storage options. |
| Customer experience | Lower than other options because of the lack of home delivery. Experience is sensitive to capability of pickup location. |
| Time to market | Similar to manufacturer or distributor storage options. |
| Order visibility | Difficult but essential. |
| Returnability | Somewhat easier, given that pickup location can handle returns. |
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Figure 4-11 Retail Storage with Customer Pickup
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Retail Storage with Customer Pickup (1 of 2)
Table 4-6 Performance Characteristics of Retail Storage with Customer Pickup Sites
| Cost Factor | Performance |
| Inventory | Higher than all other options. |
| Transportation | Lower than all other options. |
| Facilities and handling | Higher than other options. The increase in handling cost at the pickup site can be significant for online and phone orders. |
| Information | Some investment in infrastructure required for online and phone orders. |
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Retail Storage with Customer Pickup (2 of 2)
Table 4-6 [Continued]
| Service Factor | Performance |
| Response time | Same-day (immediate) pickup possible for items stored locally at pickup site. |
| Product variety | Lower than all other options. |
| Product availability | More expensive to provide than all other options. |
| Customer experience | Related to whether shopping is viewed as a positive or negative experience by customer. |
| Time to market | Highest among distribution options. |
| Order visibility | Trivial for in-store orders. Difficult, but essential, for online and phone orders. |
| Returnability | Easier than other options because retail store can provide a substitute. |
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Comparative Performance of Delivery Network Designs (1 of 3)
Table 4-7 Comparative Performance Rank of Delivery Network Designs
| Blank | Retail Storage with Customer Pickup | Manufacturer Storage with Direct Shipping | Manufacturer Storage with In-Transit Merge | Distributor Storage with Package Carrier Delivery | Distributor Storage with Last-Mile Delivery | Manufacturer/ Distributor Storage with Customer Pickup |
| Response time | 1 | 4 | 4 | 3 | 2 | 4 |
| Product variety | 4 | 1 | 1 | 2 | 3 | 1 |
| Product availability | 4 | 1 | 1 | 2 | 3 | 1 |
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Identify the best and worst network along various dimensions.
Response time: (B) retail stores (W) Manufacturer storage with direct ship
Product variety: (W) retail stores (B) Manufacturer storage with direct ship
Product availability: (W) retail store (B) Manufacturer storage
Inventory: (W) retail store (B) manufacturer storage
Transportation: (B) retail store (W) last mile delivery
Facility: (W) retail store (B) manufacturer storage
Handling: (W) Distributor storage with last mile delivery (B)
Information: Retail stores may be less complex; manufacturer storage with pickup may be very complex
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Comparative Performance of Delivery Network Designs (2 of 3)
Table 4-7 [Continued]
| Blank | Retail Storage with Customer Pickup | Manufacturer Storage with Direct Shipping | Manufacturer Storage with In-Transit Merge | Distributor Storage with Package Carrier Delivery | Distributor Storage with Last-Mile Delivery | Manufacturer/ Distributor Storage with Customer Pickup |
| Customer experience | Varies From 1 to 5 | 4 | 3 | 2 | 1 | 5 |
| Time to market | 4 | 1 | 1 | 2 | 3 | 1 |
| Order visibility | 1 | 5 | 4 | 3 | 2 | 6 |
| Returnability | 1 | 5 | 5 | 4 | 3 | 2 |
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Identify the best and worst network along various dimensions.
Response time: (B) retail stores (W) Manufacturer storage with direct ship
Product variety: (W) retail stores (B) Manufacturer storage with direct ship
Product availability: (W) retail store (B) Manufacturer storage
Inventory: (W) retail store (B) manufacturer storage
Transportation: (B) retail store (W) last mile delivery
Facility: (W) retail store (B) manufacturer storage
Handling: (W) Distributor storage with last mile delivery (B)
Information: Retail stores may be less complex; manufacturer storage with pickup may be very complex
34
Comparative Performance of Delivery Network Designs (3 of 3)
Table 4-7 [Continued]
| Blank | Retail Storage with Customer Pickup | Manufacturer Storage with Direct Shipping | Manufacturer Storage with In-Transit Merge | Distributor Storage with Package Carrier Delivery | Distributor Storage with Last-Mile Delivery | Manufacturer/ Distributor Storage with Customer Pickup |
| Inventory | 4 | 1 | 1 | 2 | 3 | 1 |
| Transportation | 1 | 4 | 3 | 2 | 5 | 1 |
| Facility and handling | 6 | 1 | 2 | 3 | 4 | 5 |
| Information | 1 | 4 | 4 | 3 | 2 | 5 |
Key: 1 corresponds to the best performance and 6 the worst performance.
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Identify the best and worst network along various dimensions.
Response time: (B) retail stores (W) Manufacturer storage with direct ship
Product variety: (W) retail stores (B) Manufacturer storage with direct ship
Product availability: (W) retail store (B) Manufacturer storage
Inventory: (W) retail store (B) manufacturer storage
Transportation: (B) retail store (W) last mile delivery
Facility: (W) retail store (B) manufacturer storage
Handling: (W) Distributor storage with last mile delivery (B)
Information: Retail stores may be less complex; manufacturer storage with pickup may be very complex
35
Delivery Networks for Different Product/ Customer Characteristics (1 of 2)
Table 4-8 Performance of Delivery Networks for Different Product/Customer Characteristics
| Blank | Retail Storage with Customer Pickup | Manufacturer Storage with Direct Shipping | Manufacturer Storage with In-Transit Merge | Distributor Storage with Package Carrier Delivery | Distributor Storage with Last-Mile Delivery | Manufacturer/ Distributor Storage with Customer Pickup |
| High-demand product | +2 | −2 | −1 | 0 | +1 | −1 |
| Medium-demand product | +1 | −1 | 0 | +1 | 0 | 0 |
| Low-demand Product | −1 | +1 | 0 | +1 | −1 | +1 |
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When designing the delivery network we should account for product and market characteristics.
High demand products will have transportation cost play a significant role. Use network with good transportation cost (retail stores)
Very low demand products will have inventory play a significant role. Use network with low inventory costs (direct shipping)
Many product sources: transportation + information plays a role. Distributor storage with package carrier
Few product sources but high customization: manufacturer storage with merge in transit
High product variety: inventory cost will be significant. Use distributor storage
Low customer effort: Distributor storage with package carrier delivery or last mile delivery depending upon desired response time
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Delivery Networks for Different Product/ Customer Characteristics (2 of 2)
Table 4-8 [Continued]
| Blank | Retail Storage with Customer Pickup | Manufacturer Storage with Direct Shipping | Manufacturer Storage with In-Transit Merge | Distributor Storage with Package Carrier Delivery | Distributor Storage with Last-Mile Delivery | Manufacturer/ Distributor Storage with Customer Pickup |
| Very-low-demand product | −2 | +2 | +1 | 0 | −2 | +1 |
| High product value | −1 | +2 | +1 | +1 | 0 | +2 |
| Quick desired response | +2 | -2 | −2 | −1 | +1 | -2 |
| High product variety | −1 | +2 | 0 | +1 | 0 | +2 |
| Low customer effort | −2 | +1 | +2 | +2 | +2 | −1 |
Key: +2 = very suitable; +1 = somewhat suitable; 0 = neutral; −1 = somewhat unsuitable; −2 = very unsuitable.
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When designing the delivery network we should account for product and market characteristics.
High demand products will have transportation cost play a significant role. Use network with good transportation cost (retail stores)
Very low demand products will have inventory play a significant role. Use network with low inventory costs (direct shipping)
Many product sources: transportation + information plays a role. Distributor storage with package carrier
Few product sources but high customization: manufacturer storage with merge in transit
High product variety: inventory cost will be significant. Use distributor storage
Low customer effort: Distributor storage with package carrier delivery or last mile delivery depending upon desired response time
37
Summary of Learning Objective 2
Distribution networks that ship directly to the customer are better suited for a large variety of high-value products that have low and uncertain demand. These networks incur lower facility costs and carry low levels of inventory but incur high transportation cost and provide a slow response time. Distribution networks that carry local inventory are suitable for products with high demand, especially if transportation is a large fraction of total cost. These networks incur higher facility and inventory cost but lower transportation cost and provide a faster response time.
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Online Sales and Omni-Channel Retailing
Omni-channel retailing
The use of multiple channels to interact with customers and fulfill their orders
Three flows
Information
Products
Funds
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Figure 4-12 Alternatives in Omni-Channel Retailing
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Alternatives in Omni-Channel Retailing (1 of 3)
Traditional Retail
Face-to-face interaction
Customer leaves with product
Many facilities close to customers
High level of inventory
Low transportation costs
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Alternatives in Omni-Channel Retailing (2 of 3)
Showrooms
Face-to-face interaction
Product ordered for later pickup
Low level of inventory
Smaller facilities
More transportation and information infrastructure than traditional retail
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Alternatives in Omni-Channel Retailing (3 of 3)
Online Information + Home Delivery
Aggregation of inventories
Few locations
High transportation costs
Online Information + Pickup
Reduces outbound transportation costs
Customer must travel to pickup location
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Performance of Channels (1 of 3)
Response time to customers
Picking up physical products faster than other channels
Online channel may be fastest for information goods
Product variety
Easier to offer larger selection remotely
Product availability
Aggregating inventory improves product availability
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Performance of Channels (2 of 3)
Customer experience
Channels have complementarity strengths
Faster time to market
Online/showrooms are quicker than retailing
Order Visibility
Critical for showrooms or online
Automatic in retail
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Performance of Channels (3 of 3)
Returnability
Easier with physical locations
Proportion of returns likely to be higher when information exchange is remote
Direct Sales to Customers
Manufacturers can use remote information exchange for direct access to customers
Efficient Funds Transfer
Internet and smartphones
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Performance of Channels in Terms of Cost (1 of 2)
Inventory
Lower inventory levels if customers will wait
Postpone variety until after the customer order is received
Facilities
Costs related to the physical facilities in a network
Costs associated with the operations in these facilities
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Performance of Channels in Terms of Cost (2 of 2)
Transportation
Lower cost of “transporting” information goods in digital form
For nondigital, aggregating inventories increases outbound transportation
Information
Investment higher for channels that provide information remotely
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Relative Costs for Omni-Channel Alternatives
Table 4-9 Relative Costs for Omni-Channel Alternatives
| Blank | Traditional Retail | Showrooms + Home Delivery | Online Information + Home Delivery | Online Information + Pickup |
| Inventory | High | Low - Medium | Low | Low - Medium |
| Facilities | High | Medium | Low | Low - Medium |
| Transportation by retailer | Low | High | High | Medium |
| Transportation by customer | High | High | Low | Medium |
| Information | Low | High | High | High |
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Framework for Omni-Channel Retailing (1 of 4)
Product characteristics and customer needs influence choice of channel
Product dimensions
Demand uncertainty
Value
Information complexity
Customer dimensions
Willingness to pay
Price conscious/service conscious
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Framework for Omni-Channel Retailing (2 of 4)
Table 4-10 Product Demand Uncertainty and Omni-Channel Retailing
| Blank | Predictable Demand Product | Unpredictable Demand Product |
| Traditional Retail | Compete on price | Compete on service for high information complexity products |
| Showrooms | Not suitable | Compete on price and variety for high information complexity products |
| Online Information + Home Delivery | Compete on service | Compete on price and variety |
| Online Information + Pickup | Compete on ability to provide service at a lower price | More competitive on price than home delivery option |
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Framework for Omni-Channel Retailing (3 of 4)
Table 4-11 Product Value and Omni-Channel Retailing
| Blank | Low Value Product | High Value Product |
| Traditional Retail | Compete on price for predictable demand products | Compete on service for products with uncertain demand and high information complexity |
| Showrooms | Compete on high variety at reasonable price for high information complexity Products | Compete on price for customizable, high information complexity products |
| Online Information + Home Delivery | Compete on service | Compete on price and variety |
| Online Information + Pickup | Compete on ability to provide service at a lower price | More competitive on price than home delivery option |
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Framework for Omni-Channel Retailing (4 of 4)
Table 4-12 Product Information Complexity and Omni-Channel Retailing
| Blank | Low Information Complexity Product | High Information Complexity Product |
| Traditional Retail | Compete on price for predictable demand products | Compete on service for uncertain demand products |
| Showrooms | Not suitable | Compete on price for uncertain demand products |
| Online Information + Home Delivery | Compete on price for uncertain demand products | Compete on service in terms of variety and availability for uncertain demand products |
| Online Information + Pickup | Compete on price for uncertain demand products | A slightly cheaper option to compete on service in terms of variety and availability for uncertain demand products |
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Summary of Learning Objective 3
Omni-channel retailing has the potential to combine the complementary strengths of physical stores and the online channel. Physical stores are good at letting customers experience high information complexity products in person. They are also cost effective at selling products with predictable demand. The online channel, in contrast, is cost effective at selling products with unpredictable demand but cannot let customers experience high information complexity products. An effective portfolio results if brick-and-mortar stores sell predictable demand items, serve as showrooms for high information complexity items with unpredictable demand, and serve as pickup locations for the online channel, while the online channel delivers unpredictable demand items to the customer.
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Copyright
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70 Chapter 4 • Designing Distribution Networks and Applications to Online Sales
• Customer experience • Time to market • Order visibility • Returnability
Response time is the amount of time it takes for a customer to receive an order. Product vari- ety is the number of different products/configurations that are offered by the distribution network. Product availability is the probability of having a product in stock when a customer order arrives. Customer experience includes the ease with which customers can place and receive orders and the extent to which this experience is customized. It also includes purely experiential aspects, such as the possibility of getting a cup of coffee and the value that the sales staff provides. Time to market is the time it takes to bring a new product to the market. Order visibility is the ability of customers to track their orders from placement to delivery. Returnability is the ease with which a customer can return unsatisfactory merchandise and the ability of the network to handle such returns.
It may seem at first that a customer always wants the highest level of performance along all these dimensions. In practice, however, this is not the case. Customers ordering a book at Amazon.com are willing to wait longer than those who drive to a nearby Barnes & Noble store to get the same book. In contrast, customers can find a much larger variety of books at Amazon compared to the Barnes & Noble store. Thus, Amazon customers trade off fast response times for high levels of variety.
Firms that target customers who can tolerate a long response time require only a few locations that may be far from the customer. These companies can focus on increasing the capacity of each location. In contrast, firms that target customers who value short response times need to locate facilities close to them. These firms must have many facilities, each with a low capacity. Thus, a decrease in the response time customers desire increases the number of facilities required in the network, as shown in Figure 4-1. For example, Barnes & Noble provides its customers with books on the same day but requires hundreds of stores to achieve this goal for most of the United States. Amazon, in contrast, takes a few days to deliver a book to its U.S. customers, but it uses about 20 locations to store its books.
Changing the distribution network design affects the following supply chain costs (notice that these are four of the six supply chain drivers we discussed earlier):
• Inventories • Transportation • Facilities and handling • Information
The other two drivers, sourcing and pricing, also affect the choice of the distribution system; the link will be discussed when relevant. As the number of facilities in a supply chain increases, the inventory and resulting inventory costs also increase (see Chapter 12), as shown in Figure 4-2.
Required Number of Facilities
Desired Response Time
FIGURE 4-1 Relationship Between Desired Response Time and Number of Facilities
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Chapter 4 • Designing Distribution Networks and Applications to Online Sales 71
To decrease inventory costs, firms try to consolidate and limit the number of facilities in their supply chain network. For example, with fewer facilities, Amazon is able to turn its inventory about 10 times a year, whereas Barnes & Noble, with hundreds of facilities, achieves only about 3 turns per year.
Inbound transportation costs are the costs incurred in bringing material into a facility. Outbound transportation costs are the costs of sending material out of a facility. Outbound transportation costs per unit tend to be higher than inbound costs because inbound lot sizes are typically larger. For example, an Amazon warehouse receives full truckload shipments of books on the inbound side, but ships out small packages with only a few books per customer on the outbound side. Increasing the number of warehouse locations decreases the average outbound distance to the customer and makes outbound transportation distance a smaller fraction of the total distance traveled by the product. Thus, as long as inbound transportation economies of scale are maintained, increasing the number of facilities decreases total trans- portation cost, as shown in Figure 4-3. If the number of facilities is increased to a point where inbound lot sizes are also very small and result in a significant loss of economies of scale in inbound transportation, increasing the number of facilities increases total transportation cost, as shown in Figure 4-3.
Inventory Costs
Number of Facilities
FIGURE 4-2 Relationship Between Number of Facilities and Inventory Costs
Transportation Cost
Number of Facilities
FIGURE 4-3 Relationship Between Number of Facilities and Transportation Cost
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Chapter 4 • Designing Distribution Networks and Applications to Online Sales 71
To decrease inventory costs, firms try to consolidate and limit the number of facilities in their supply chain network. For example, with fewer facilities, Amazon is able to turn its inventory about 10 times a year, whereas Barnes & Noble, with hundreds of facilities, achieves only about 3 turns per year.
Inbound transportation costs are the costs incurred in bringing material into a facility. Outbound transportation costs are the costs of sending material out of a facility. Outbound transportation costs per unit tend to be higher than inbound costs because inbound lot sizes are typically larger. For example, an Amazon warehouse receives full truckload shipments of books on the inbound side, but ships out small packages with only a few books per customer on the outbound side. Increasing the number of warehouse locations decreases the average outbound distance to the customer and makes outbound transportation distance a smaller fraction of the total distance traveled by the product. Thus, as long as inbound transportation economies of scale are maintained, increasing the number of facilities decreases total trans- portation cost, as shown in Figure 4-3. If the number of facilities is increased to a point where inbound lot sizes are also very small and result in a significant loss of economies of scale in inbound transportation, increasing the number of facilities increases total transportation cost, as shown in Figure 4-3.
Inventory Costs
Number of Facilities
FIGURE 4-2 Relationship Between Number of Facilities and Inventory Costs
Transportation Cost
Number of Facilities
FIGURE 4-3 Relationship Between Number of Facilities and Transportation Cost
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Facility Costs
Number of Facilities
FIGURE 4-4 Relationship Between Number of Facilities and Facility Costs
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Facility costs decrease as the number of facilities is reduced, as shown in Figure 4-4, because a consolidation of facilities allows a firm to exploit economies of scale. While Amazon achieved a property, plant, and equipment turnover (PPET) of 19 in 2009, Barnes & Noble had a PPET of just over 7.
Total logistics costs are the sum of inventory, transportation, and facility costs for a supply chain network. As the number of facilities increases, total logistics costs first decrease and then increase as shown in Figure 4-5. Each firm should have at least the number of facilities that minimizes total logistics costs. Amazon has more than one warehouse primarily to reduce its logistics costs (and improve response time). If a firm wants to reduce the response time to its customers further, it may have to increase the number of facilities beyond the point that minimizes logistics costs. A firm should add facilities beyond the cost-minimizing point only if managers are confident that the increase in revenues because of better responsiveness is greater than the increase in costs because of the additional facilities.
Response Time
Number of Facilities
Total Logistics Cost
FIGURE 4-5 Variation in Logistics Cost and Response Time with Number of Facilities
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Facility Costs
Number of Facilities
FIGURE 4-4 Relationship Between Number of Facilities and Facility Costs
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Facility costs decrease as the number of facilities is reduced, as shown in Figure 4-4, because a consolidation of facilities allows a firm to exploit economies of scale. While Amazon achieved a property, plant, and equipment turnover (PPET) of 19 in 2009, Barnes & Noble had a PPET of just over 7.
Total logistics costs are the sum of inventory, transportation, and facility costs for a supply chain network. As the number of facilities increases, total logistics costs first decrease and then increase as shown in Figure 4-5. Each firm should have at least the number of facilities that minimizes total logistics costs. Amazon has more than one warehouse primarily to reduce its logistics costs (and improve response time). If a firm wants to reduce the response time to its customers further, it may have to increase the number of facilities beyond the point that minimizes logistics costs. A firm should add facilities beyond the cost-minimizing point only if managers are confident that the increase in revenues because of better responsiveness is greater than the increase in costs because of the additional facilities.
Response Time
Number of Facilities
Total Logistics Cost
FIGURE 4-5 Variation in Logistics Cost and Response Time with Number of Facilities
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The customer service and cost components listed earlier are the primary measures used to evaluate different delivery network designs. In general, no distribution network will outperform others along all dimensions. Thus, it is important to ensure that the strengths of the distribution network fit with the strategic position of the firm.
In the next section, we discuss various distribution networks and their relative strengths and weaknesses.
4.3 DESIGN OPTIONS FOR A DISTRIBUTION NETWORK
In this section, we discuss distribution network choices from the manufacturer to the end consumer. When considering distribution between any other pair of stages, such as supplier to manufacturer or even a service company serving its customers through a distribution network, many of the same options still apply. Managers must make two key decisions when designing a distribution network:
1. Will product be delivered to the customer location or picked up from a prearranged site? 2. Will product flow through an intermediary (or intermediate location)?
Based on the firm’s industry and the answers to these two questions, one of six distinct distribution network designs may be used to move products from factory to customer. These designs are classified as follows:
1. Manufacturer storage with direct shipping 2. Manufacturer storage with direct shipping and in-transit merge 3. Distributor storage with carrier delivery 4. Distributor storage with last-mile delivery 5. Manufacturer/distributor storage with customer pickup 6. Retail storage with customer pickup
Manufacturer Storage with Direct Shipping
In this option, product is shipped directly from the manufacturer to the end customer, bypassing the retailer (who takes the order and initiates the delivery request). This option is also referred to as drop-shipping. The retailer carries no inventory. Information flows from the customer, via the retailer, to the manufacturer, and product is shipped directly from the manufacturer to customers as shown in Figure 4-6. Online retailers such as eBags and Nordstrom.com use drop-shipping to deliver goods to the end consumer. eBags holds few bags in inventory. Nordstrom carries some products in inventory and uses the drop-ship model for slow-moving footwear. W.W. Grainger also uses drop-shipping to deliver slow-moving items to customers.
The biggest advantage of drop-shipping is the ability to centralize inventories at the manufac- turer who can aggregate demand across all retailers that it supplies. As a result, the supply chain is
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Manufacturers
Customers
Retailer
Product Flow Information Flow
FIGURE 4-6 Manufacturer Storage with Direct Shipping
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Given its performance characteristics, manufacturer storage with direct shipping is best suited for a large variety of low-demand, high-value items for which customers are willing to wait for delivery and accept several partial shipments. Manufacturer storage is also suitable if it allows the manufacturer to postpone customization, thus reducing inventories. It is thus ideal for direct sellers that are able to build-to-order. For drop-shipping to be effective, there should be few sourcing locations per order.
Manufacturer Storage with Direct Shipping and In-Transit Merge
Unlike pure drop-shipping, under which each product in the order is sent directly from its manufacturer to the end customer, in-transit merge combines pieces of the order coming from different locations so that the customer gets a single delivery. Information and product flows for the in-transit merge network are shown in Figure 4-7. In-transit merge has been used by Dell and can be used by companies implementing drop-shipping. When a customer orders a PC from Dell along with a Sony monitor, the package carrier picks up the PC from the Dell factory and the monitor from the Sony factory; it then merges the two at a hub before making a single delivery to the customer.
As with drop-shipping, the ability to aggregate inventories and postpone product customization is a significant advantage of in-transit merge. In-transit merge allows Dell and Sony to hold all their inventories at the factory. This approach has the greatest benefits for products with high value whose demand is difficult to forecast, particularly if product customization can be postponed.
Although an increase in coordination is required, merge in transit decreases transportation costs relative to drop-shipping by aggregating the final delivery.
Facility and processing costs for the manufacturer and the retailer are similar to those for drop-shipping. The party performing the in-transit merge has higher facility costs because of the merge capability required. Receiving costs at the customer are lower because a single delivery is received. Overall supply chain facility and handling costs are somewhat higher than with drop-shipping.
A sophisticated information infrastructure is needed to allow in-transit merge. In addition to information, operations at the retailer, manufacturers, and the carrier must be coordinated. The investment in information infrastructure is higher than that for drop-shipping.
Response times, product variety, availability, and time to market are similar to drop- shipping. Response times may be marginally higher because of the need to perform the merge. Customer experience is likely to be better than with drop-shipping, because the customer receives only one delivery for an order instead of many partial shipments. Order visibility is an important requirement. Although the initial setup is difficult because it requires integration of manufacturer, carrier, and retailer, tracking itself becomes easier given the merge that occurs at the carrier hub.
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Factories
Customers
In-Transit Merge by CarrierRetailer
Product Flow Information Flow
FIGURE 4-7 In-Transit Merge Network
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inventory than a retail network. Amazon achieves about 10 turns of inventory annually using warehouse storage, whereas Barnes & Noble achieves about 3 turns using retail stores.
Transportation costs are somewhat lower for distributor storage compared to manufacturer storage because an economic mode of transportation (e.g., truckloads) can be employed for inbound shipments to the warehouse, which is closer to the customer. Unlike manufacturer storage, under which multiple shipments may need to go out for a single customer order with multiple items, distributor storage allows outbound orders to the customer to be bundled into a single shipment, further reducing transportation cost. Distributor storage provides savings on the transportation of faster moving items relative to manufacturer storage.
Compared to manufacturer storage, facility costs (of warehousing) are somewhat higher with distributor storage because of a loss of aggregation. Processing and handling costs are comparable to manufacturer storage unless the factory is able to ship to the end customer directly from the production line. In that case, distributor storage has higher processing costs. From a facility cost perspective, distributor storage is not appropriate for extremely slow-moving items.
The information infrastructure needed with distributor storage is significantly less complex than that needed with manufacturer storage. The distributor warehouse serves as a buffer between the customer and the manufacturer, decreasing the need to coordinate the two completely. Real-time visibility between customers and the warehouse is needed, whereas real-time visibility between the customer and the manufacturer is not. Visibility between the distributor warehouse and manufacturer can be achieved at a much lower cost than real-time visibility between the customer and manufacturer.
Response time under distributor storage is better than under manufacturer storage because distributor warehouses are, on average, closer to customers, and the entire order is aggregated at the warehouse before being shipped. Amazon, for example, processes most warehouse-stored items within a day and then it takes three to five business days using ground transportation for the order to reach the customer. W.W. Grainger processes customer orders on the same day and has enough warehouses to deliver most orders the next day using ground transport. Warehouse storage limits to some extent the variety of products that can be offered. W.W. Grainger does not store very low-demand items at its warehouse, relying on manufacturers to drop-ship those products to the customer. Customer convenience is high with distributor storage because a single shipment reaches the customer in response to an order. Time to market under distributor storage is somewhat higher than under manufacturer storage because of the need to stock another stage in the supply chain. Order visibility becomes easier than with manufacturer storage because there is a single shipment from the warehouse to the customer and only one stage of the supply chain is involved directly in filling the customer order. Returnability is better than with manufacturer storage because all returns can be processed at the warehouse itself. The customer also has to return only one package, even if the items are from several manufacturers.
The performance of distributor storage with carrier delivery is summarized in Table 4-3. Distributor storage with carrier delivery is well suited for slow- to fast-moving items.
Warehouse Storage by Distributor/ Retailer
Factories
Customers
Product Flow Information Flow
FIGURE 4-8 Distributor Storage with Carrier Delivery
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(including transportation and processing) can be more than $20 per home delivery in the grocery industry. Last-mile delivery may be somewhat less expensive in large, dense cities. Transportation costs may also be justifiable for bulky products for which the customer is willing to pay for home delivery. Home delivery of water and large bags of rice has proved quite successful in China, where the high population density has helped decrease delivery costs. Transportation costs of last-mile delivery are best justified in settings where the customer is purchasing in large quantities. This is rare for individual customers, but businesses such as auto dealerships purchase large quantities of spare parts on a daily basis and can thus justify daily delivery. Home delivery to individual customers can be justified for bulky items such as five-gallon jugs of water in the United States and large bags of rice in China. In each instance, last-mile delivery is cheaper and more convenient than customers picking up their own bottles or bags.
Using this option, facility costs are somewhat lower than for a network with retail stores but much higher than for either manufacturer storage or distributor storage with package carrier delivery. Processing costs, however, are much higher than for a network of retail stores because all customer participation is eliminated. A grocery store using last-mile delivery performs all the processing until the product is delivered to the customer’s home, unlike a supermarket, where the customer does a lot more work.
The information infrastructure with last-mile delivery is similar to that for distributor storage with package carrier delivery. However, it requires the additional capability of scheduling deliveries.
Response times are faster than using package carriers. Kozmo and Urbanfetch tried to provide same-day delivery, whereas online grocers typically provide next-day delivery. Product variety is generally lower than for distributor storage with carrier delivery. The cost of providing product availability is higher than for every option other than retail stores. The customer experience can be good using this option, particularly for bulky, hard-to-carry items. Time to market is even higher than for distributor storage with package carrier delivery because the new product has to penetrate deeper before it is available to the customer. Order visibility is less of an issue given that deliveries are made within 24 hours. The order-tracking feature does become important to handle exceptions in case of incomplete or undelivered orders. Of all the options discussed, returnability is best with last-mile delivery, because trucks making deliveries can also pick up returns from customers. Returns are still more expensive to handle than at a retail store, where a customer can bring the product back.
The performance characteristics of distributor storage with last-mile delivery are summarized in Table 4-4. In areas with high labor costs, it is hard to justify last-mile delivery to individual consumers on the basis of efficiency or improved margin. It can be justified only if there is a large enough customer segment willing to pay for this convenience. In that case, an effort should be made to couple last-mile delivery with an existing distribution network to exploit economies of scale and improve utilization. An example is Albertsons’ use of existing grocery
Distributor/Retailer Warehouse
Factories
Customers
Product Flow Information Flow
FIGURE 4-9 Distributor Storage with Last-Mile Delivery
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manufacturers is cross-docked and sent to retail outlets on a daily basis. An online retailer delivering an order through Seven-Eleven can be treated as one of the manufacturers, with deliveries cross-docked and sent to the appropriate Seven-Eleven outlet. Serving as an outlet for online orders allows Seven-Eleven to improve utilization of its existing logistical assets.
Inventory costs using this approach can be kept low, with either manufacturer or distributor storage to exploit aggregation. W.W. Grainger keeps its inventory of fast-moving items at pickup locations, whereas slow-moving items are stocked at a central warehouse or in some cases at the manufacturer.
Transportation cost is lower than for any solution using package carriers because significant aggregation is possible when delivering orders to a pickup site. This allows the use of truckload or less-than-truckload carriers to transport orders to the pickup site. For a company such as Seven-Eleven Japan, the marginal increase in transportation cost is small because trucks are already making deliveries to the stores, and their utilization can be improved by including online orders. As a result, Seven-Eleven Japan allows customers to pick up orders without a shipping fee.
Facility costs are high if new pickup sites have to be built. A solution using existing sites can lower the additional facility costs. This, for example, is the case with 7dream.com, Wal-Mart, and W.W. Grainger, for which the stores already exist. Processing costs at the manufacturer or the warehouse are comparable to those of other solutions. Processing costs at the pickup site are high because each order must be matched with a specific customer when he or she arrives. Creating this capability can increase processing costs significantly if appropriate storage and information systems are not provided. Increased processing cost and potential errors at the pickup site are the biggest hurdle to the success of this approach.
A significant information infrastructure is needed to provide visibility of the order until the customer picks it up. Good coordination is needed among the retailer, the storage location, and the pickup location.
In this case, a response time comparable to that using package carriers can be achieved. Variety and availability comparable to any manufacturer or distributor storage option can be provided. There is some loss of customer experience, because unlike the other options discussed, customers must pick up their own orders. On the other hand, customers who do not want to pay online can pay by cash using this option. In countries like Japan, where Seven-Eleven has more than 10,000 outlets, it can be argued that the loss of customer convenience is small, because most customers are close to a pickup site and can collect an order at their convenience. In some cases, this option is considered more convenient because it does
Cross-Dock DC
Factories
Pickup Sites
Customers
Retailer
Product Flow Information Flow
Customer Flow
FIGURE 4-10 Manufacturer or Distributor Warehouse Storage with Consumer Pickup
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Chapter 4 ◆ Designing Distribution Networks and Applications to Omni-Channel Retailing 85
Examples of companies that offer multiple options of order placement include Home Depot and Tesco. In either case, customers can walk into the store or order online. A B2B example is W.W. Grainger: Customers can order online, by phone, or in person and pick up their order at one of W.W. Grainger’s retail outlets.
Local storage increases inventory costs because of the lack of aggregation. For fast- to very-fast-moving items, however, there is little increase in inventory, even with local storage. Home Depot uses local storage for its fast-moving products while delivering a wider variety of products from a regional location for pickup at the store. Similarly, W.W. Grainger keeps its inventory of fast-moving items at pickup locations, whereas slow-moving items are stocked at a central warehouse.
Cost Factor Performance
Inventory Can match any other option, depending on the location of inventory.
Transportation Lower than the use of package carriers, especially if using an existing delivery network.
Facilities and handling Facility costs can be high if new facilities have to be built. Costs are lower if existing facilities are used. The increase in handling cost at the pickup site can be significant.
Information Significant investment in infrastructure is required.
Service Factor Performance
Response time Similar to package carrier delivery with manufacturer or distributor storage. Same-day pickup is possible for items stored at regional DC.
Product variety Similar to other manufacturer or distributor storage options.
Product availability Similar to other manufacturer or distributor storage options.
Customer experience Lower than other options because of the lack of home delivery. Experience is sensitive to capability of pickup location.
Time to market Similar to other manufacturer or distributor storage options.
Order visibility Difficult but essential.
Returnability Somewhat easier, given that pickup location can handle returns.
TABLE 4-5 Performance Characteristics of Network with Customer Pickup Sites
DC
Factories
Retail Stores
Customers
Product Flow Information Flow
Customer Flow
Figure 4-11 Retail Storage with Customer Pickup
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These showrooms facilitate a face-to-face information exchange but do not carry inventory for customers to purchase. If a customer decides to make a purchase, the product is ordered online from the Bonobos website (or at the store). When using a showroom, product can either be picked up at the store or delivered at home. The showrooms carry no inventory for sale, thus significantly reducing inventory and the size of the store required. Relative to traditional retail, this channel saves on inventory and facilities infrastructure but requires a greater investment in transportation and information infrastructure, especially with home delivery.
ONLINE INFORMATION + HOME DELIVERY Amazon is an excellent example of this channel where customers browse for products and order online to have the purchases then delivered at home. Aggregation of inventories in a few locations allows the online channel to have a much lower investment in facilities and inventory compared to traditional retail. Transportation cost, however, tends to be high for home delivery.
ONLINE INFORMATION + PICKUP The high cost of home delivery for the online channel has led several players to offer the option of a pickup location at a lower price. The presence of a pickup location significantly reduces the outbound transportation cost incurred by the online retailer. It does require the customer to travel to the pickup location. A suitable choice of pickup location can lower this travel cost if customers can combine order pickup with other activities they naturally perform at the location. For example, Walmart allows a “free instore pickup” option where people can shop online and pick up the order at the store. This option clearly reduces Walmart’s transportation cost because online orders can be shipped to the store along with other products being shipped there. Such an option may also not add much to the transporta- tion cost for a customer if he or she is planning to shop at the Walmart store in any case. In the grocery industry in U.K., pickup locations now dominate as the channel for online grocery shop- ping. Grocery retailers such as Tesco and ASDA offer a low cost “click & collect” service where customers place their orders online and collect them at a pickup location.
Performance of Channels in Terms of Customer Service
As with distribution networks considered earlier, we start by studying how the various channels perform in terms of customer service elements such as response time, product variety, availabil- ity, customer experience, time to market, visibility, and returnability.
Traditional Retail
Showrooms + Home Delivery /
Pickup
Online Information
+ Pickup
Online Information
+ Home Delivery
Pickup Home Delivery
Product
Face-to-face
Remote
Information
Figure 4-12 Alternatives in Omni-Channel Retail
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