Category Archives: case studies

Case Study: Perdue Farms



Perdue Farms

food processing($6 billion revenue)

producers of chicken and turkey

business challenge

to align their product capabilities with their growing customer base and to determine the optimal configuration for their network as a whole



We knew that significant savings existed in the system. Competitive Insights helped us understand how to obtain these. The strategies CI recommended have had an immediate impact on our bottom-line.
Larry Brown • Director, Logistics • Perdue Farms


solution

network optimization

descriptive • prescriptive analytics
supply chain • finance • sales

data governance • model actual costs associated with each component of the product flows and running the Distribution Centers




  • 20%

    savings opportunities identified from overall distribution network analysis



  • identified

    the optimal flow of product through the network DCs



  • reduced

    complexity with shipping consolidation & Direct-to-Customer




The results illustrated in this case study are specific to the particular situations, business models, data input, and computing environments described herein. Each Competitive Insights (CI) customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. CI does not guarantee or represent that every customer will achieve similar results.

Case Study: Easton-Bell Sports





Easton-Bell Sports

Easton

sports equipment ($900 million revenue)

designer, developer and marketer of branded sports equipment, protective products and related accessories

business challenge

to increase corporate enterprise value and profitability by consolidating specific supply chain operations that would serve significant growth opportunities, including e-commerce



Their services proved invaluable in helping us achieve success with this complex development.
Lewis Hornsby • Vice President, Supply Chain & Fulfillment Easton-Bell Sports


solution

network optimization

descriptive • prescriptive analytics
supply chain • finance • sales

data governance • model actual costs associated with each component of the product flows • collaborate with real estate selection, rapid architectural designs and material handling automation for new Distribution Center construction




  • shorter

    lead times for customer orders



  • improved

    quality of order shipments



  • decreased

    long-term productivity costs



  • insights

    that resulted in construction of new facility




The results illustrated in this case study are specific to the particular situations, business models, data input, and computing environments described herein. Each Competitive Insights (CI) customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. CI does not guarantee or represent that every customer will achieve similar results.

Case Study: Agricultural Chemical Manufacturing





















industry

agricultural chemical manufacturing

($2 billion revenue)

business challenge

to identify opportunities to balance customer service and supply chain and manufacturing operational costs






solution

network optimization

descriptive • diagnostic • prescriptive analytics
supply chain • finance • sales

data governance • model actual costs associated with each component of the product flows

  • $1.5 million

    savings opportunity in next fiscal year



  • identified

    opportunity for financial savings with SKU Rationalization



  • identified

    savings opportunity by reviewing Production Strategies



  • visibility

    to actual customer service levels




The results illustrated in this case study are specific to the particular situations, business models, data input, and computing environments described herein. Each Competitive Insights (CI) customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. CI does not guarantee or represent that every customer will achieve similar results.

Case Study: Paper/Wood Products Manufacturing & Distribution





















industry

paper/wood products manufacturing and distribution

($20 billion revenue)

business challenge

to identify opportunities to lower the overall outbound distribution costs while meeting all customer service objectives






solution

transportation analysis

descriptive • prescriptive analytics
supply chain • finance

data governance • model actual costs associated with each component of the product flows

  • deeper visibility

    into financial performance



  • repeatability

    of process



  • analyzed

    Sourcing Paths by Customer / Product



  • Net Landed Cost

    Post Optimization Analysis




The results illustrated in this case study are specific to the particular situations, business models, data input, and computing environments described herein. Each Competitive Insights (CI) customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. CI does not guarantee or represent that every customer will achieve similar results.

Case Study: Atlanta Community Food Bank





non-profit food distribution

distributes food and other donated grocery items to nonprofit agencies in Metro Atlanta and North Georgia

business challenge

to align resources to do the most good

solution

efficiency analysis

descriptive • diagnostic analytics
supply chain • finance • "sales"

data governance • cross-functional agreement on detailed performance insights • tracking ongoing performance



  • visibility

    into details of total cost to provide food to agencies



  • insights

    into sourcing costs, warehouse operations, inventory and delivery transportation costs by agencies and counties



  • highlight

    areas of improvement operationally



  • donate

    to help their mission serving people in need




The results illustrated in this case study are specific to the particular situations, business models, data input, and computing environments described herein. Each Competitive Insights (CI) customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. CI does not guarantee or represent that every customer will achieve similar results.

Case Study: United Agri Products



UAP

agricultural distributor($600 million revenue)

distributes agricultural inputs and non-crop products in the United States & Canada

business challenge

to consolidate inventory locations, reduce inventory levels while increasing service levels to wholesale and retail customers

solution

network optimization

descriptive • prescriptive analytics
supply chain • finance • sales • marketing

data governance • model actual costs associated with each component of the product flows • streamline operation network




  • 34%

    increase in inventory turns



  • 32%

    increase in sales



  • 15%

    decrease in operating expenses



  • 150%

    return on investment in 18 months




The results illustrated in this case study are specific to the particular situations, business models, data input, and computing environments described herein. Each Competitive Insights (CI) customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. CI does not guarantee or represent that every customer will achieve similar results.