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Use Cases for Supply Chain Analytics

Ready to see how supply chain analytics works in real life? This chapter showcases some areas where analytics can drive supply chain efficiency. I set out the key benefits, identify the

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data owners and data sources, and list the metrics you could use in each scenario for measuring performance and making decisions.

This chapter refers to the list of common supply chain metrics from Chapter 3, so you might want to glance back at that chapter as you go along.

Demand Forecasting One of the most important tasks for any retailer is to accurately predict consumer buying patterns. This is especially true around seasonal holiday periods. By identifying the major buying patterns, the organization can gain much greater control of inventory and streamline supply chain operations. Buying pattern analysis is only one part of demand forecasting, and input from marketing systems helps combine this data with identifiable trends within the market to provide more context for decisions. Table  4-1 highlights how the demand forecasting process benefits from the use of analytics, who benefits in the organization, and the sources of information that are used as part of this particular use case.

Chapter 4

IN THIS CHAPTER

» Applying analytics to different areas of the supply chain

» Discovering the benefits a business gains from each use case

» Listing the data owners and data sources for each use case

 

 

32 Supply Chain Analytics For Dummies, OpenText Special Edition

These materials are © 2017 John Wiley & Sons, Ltd. Any dissemination, distribution, or unauthorized use is strictly prohibited.

Invoice Reporting Invoice reporting is of great interest to procurement and finance departments as well as supply chain operations. Procurement and finance managers want to know about expenditures by product, supplier, region, or date range. They want to know how quickly expenditures were processed and how often they were rejected (both of which affect the cash-to-cash cycle). Supply chain oper- ations want to know which trading partners are performing best.

TABLE 4-1 How Analytics Benefits Demand Forecasting Business Benefit from Applying Analytics Data Owner Data Sources

Example Metrics

Improve customer experience

Procurement

Buying director

Manager

B2B integration platform

Top trading partners by spend

Improve sales forecasting

Sales director

Manager

Enterprise resource management (ERP)

Total units sold by Average Sales Price (ASP)

Reduce lost sales Customer service director

Manager

Customer relationship management (CRM)

Quantity sold by channel

Reduce out of stocks

Product manager Marketing automation

Cycle time by product SKU/RMC

Maximize product price

CFO

Financial director

Product manager

Point-of-sale systems

ASP by SKU/RMC

Reduce lost, wasted, or written-off inventory (LWOE)

Sales eCommerce systems

Purchaser behavioral trends

Reduce inventory holding costs

Operations

Logistics

Procurement

Warehouse management system

Inventory turns by product SKU/RMC

 

 

CHAPTER 4 Use Cases for Supply Chain Analytics 33

These materials are © 2017 John Wiley & Sons, Ltd. Any dissemination, distribution, or unauthorized use is strictly prohibited.

Table 4-2 highlights how the invoice reporting process benefits from the use of analytics, who benefits in the organization, and the sources of information for this use case.

Inventory Visibility Inventory visibility enables an organization to combine inven- tory data with other elements to evaluate supply chain perfor- mance. Consider, for example, a global vehicle manufacturer that has implemented and standardized on an ERP system across all its plant locations. The company requires improved visibility of inbound ASN transactions to improve efficiency of its Just-In- Time (JIT) production systems. With multiple suppliers frequently delivering to each plant, the company requires complete visibil- ity across multiple inventory locations. Table 4-3 highlights how the inventory visibility process benefits from the use of analytics,

TABLE 4-2 How Analytics Benefits Invoice Reconciliation Business Benefit from Applying Analytics Data Owner Data Sources

Example Metrics

Increase invoice visibility

Procurement

Buying director

Manager

B2B integration platform

Invoice accuracy

Improve supplier management

Supply chain director

Manager

Accounts receivable/ payable

Top products by invoiced amount

Improve invoice accuracy

CFO

Financial director

ERP Top trading partners by spend

Increase process automation

Operations

Procurement

ERP/MRP Perfect order fill rates

Improve bargaining position

Accounts payable

ERP/MRP Aggregate spend by supplier/customer

 

 

34 Supply Chain Analytics For Dummies, OpenText Special Edition

These materials are © 2017 John Wiley & Sons, Ltd. Any dissemination, distribution, or unauthorized use is strictly prohibited.

who benefits in the organization, and the sources of information that are used.

Partner Performance Reporting You want to know what your partners are doing and how well they’re doing it. That way you can develop deeper relationships with the high performing trading partners, and cut loose the ones

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