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on the RADAaR™ – June 2016

Competitive Insights, LLC

on the RADAaR™

a convenient resource for current Integrated Business Planning (IBP) information




are your omni-channel /
e-commerce sales really profitable? part 4
the focus of this posting is on the impact of product returns

join the community

Competitive Insights is a
founding member of
American Logistics Aid Network
(ALAN) leverages supply chain resources and expertise to help in disaster situations

Check out IWLA & ALAN Fundraiser Campaign video

Visit ALAN’s website



performance visibility ::
big data presents opportunities for the supply chain, but are organizations taking advantage of it?
big data analytics has a number of applications within the supply chain. Yet there is still some lag in adoption of solutions


multi-channel fulfillment ::
today’s top supply chain and logistics news from WSJ
growing retail industry drive to slash stocks at stores and in warehouses as companies try to boost sales, improve margins and respond to changes in the marketplace


complexity reduction ::
big data latest rage supply chain management
a supply chain is rich with data and has a large cost component, making advanced analytics a strategic weapon


customer buying patterns ::
discounting still the name of the game for e-commerce
this is contrary to what they have been telling investors who have been pressurizing them to turn profitable


we appreciate your feedback, please respond to our five minute survey here
what’s on your RADAaR? want to stay updated on a topic not listed? email us at [email protected]

Competitive Insights, LLC

4200 Northside Parkway NW, Bldg. 12 • Atlanta, Georgia 30327 • 770.922.4400
www.ci-advantage.com

Press Release: Competitive Insights listed as a Representative Vendor in Gartner’s 2016 Market Guide for Supply Chain Cost-to-Serve Analytics Technology




Competitive Insights listed as a
Representative Vendor in Gartner’s 2016 Market Guide
for Supply Chain Cost-to-Serve Analytics Technology

Atlanta, Georgia USA (May 26, 2016)--Competitive Insights, the market leader for Enterprise Profit Insights (EPI) solutions, announces it has been cited in Gartner’s Market Guide for Supply Chain Cost-to-Serve Analytics Technology as a Representative Vendor. Competitive Insight’s Net Landed Cost to Serve offers specific and actionable visibility into the total cost to serve for each product or Stock-Keeping Unit (SKU) to each end delivery location. Each EPI customer solution is tailored using the transactional data that resides in their multiple operating systems. The precise insights gained enable the formulation of specific strategies that drive fact based improvements in operational profits.

According to Gartner, “This research provides an overview of the supply chain cost-to-serve analytics market. Supply chain strategists can use this research to understand the definition, trajectory and representative players in the market.”

Competitive Insight’s President & CEO Richard Sharpe shared that “we appreciate and value the intelligence provided by Gartner through this important research. Competitive Insights takes great pride in receiving this mention and feels its validation of the value that we bring to our customers.”

Gartner, Market Guide for Supply Chain Cost-to-Serve Analytics Technology, Stan Aronow, 26 May 2016

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Competitive Insights, LLC

Competitive Insights, headquartered in Atlanta, was founded in 1998. The firm provides both supply chain Software-as-a-Service (SaaS) and professional analytical services to enterprise customers including some of the nation’s most recognizable brands. CI’s proprietary mix of software and services collects and processes customers’ transactional data from multiple sources to support cross-functional, fact-based decisions that support the reduction of operating costs, maximizing profits, and mitigating operating risks.

For more information, contact:

Tami Kitajima

Competitive Insights

[email protected]

+1 770.922.4400, Ext. 306

on the RADAaR™ – May 2016

Competitive Insights, LLC

on the RADAaR™

a convenient resource for current Integrated Business Planning (IBP) information




are your omni-channel /
e-commerce sales really profitable? part 3
E-Commerce order fulfillment activities simply do not have the economies of scale of traditional supply chain operations

join us

EyeForTransport’s
3PL Summit &
Chief Supply Chain Officer Forum

Workshop: Driving Sustainable
Business Value from
Supply Chain Data
Facilitator: Richard Sharpe
CEO, Competitive Insights, LLC

June 20, 2016 • 1:00 – 5:00 pm CT
Radisson Blu Aqua – Chicago, IL



performance visibility ::
big data analytics and the evolution of the supply chain
companies today are nearly overrun with massive amounts of data about their customers, suppliers, and even potential markets


multi-channel fulfillment ::
5 common mistakes multi-channel retailers make, and how to avoid them
multi-channel retailers are often finding themselves stuck in a vicious cycle of failed promotions, inventory distortion, …


complexity reduction ::
supply chain optimization as a competitive advantage
study by Georgia Tech shows that a company’s stock price drops by 8% when the company experiences a glitch in its supply chain


customer buying patterns ::
measuring the true profitability of products, services and customers
from increased transparency comes actionable insight


we appreciate your feedback, please respond to our five minute survey here
what’s on your RADAaR? want to stay updated on a topic not listed? email us at [email protected]

Competitive Insights, LLC

4200 Northside Parkway NW, Bldg. 12 • Atlanta, Georgia 30327 • 770.922.4400
www.ci-advantage.com

Case Study: ConAgra Foods

food processing($18 billion revenue)

makes and sells packaged foods available in supermarkets, restaurants & food service

business challenge

to identify the more efficient network design in order to consolidate 14 separate networks



We were very pleased with the deliverables for this project. The results were not just theoretical but grounded on the real needs of the business.
Stephen Tibey • Senior Vice President , Integrated Logistics • ConAgra


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




  • 7 digit

    savings was identified with consolidated network



  • improved

    servicing customers with regional insights



  • insight

    to specific regional strategies




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: Fresh Food Distribution





















industry

fresh food distributor

($2 billion revenue)

business challenge

to identify the primary factors that were driving costs to climb and margins to erode






solution

product analysis

descriptive • diagnostic analytics
supply chain • finance • sales

data governance • organize and tie together data by each supply chain component • analyze profitability of each SKU

  • reduced

    costs by re-architect Customer Delivery routes



  • explored

    conversion of some Free-On-Board (FOB) Inbound Transportation to managed transportation



  • addressed

    negative margin position of specific SKUs



  • identified

    supply chain-related Data Quality issues




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: Hershey Company







food processing($7 billion revenue)

chocolate manufacturer

business challenge

to determine best product mix by production line and to support projected future growth



As Hershey pursues a strategy to go more global, there were some assumptions about how the supply chain worked and what the right decision would be that needed to go through the filter of objective analysis.
Greg Kaiser • Vice President, Global Logistics and Customer Service • Hershey Company


solution

network optimization

descriptive • prescriptive analytics
supply chain • finance

data governance • model extremely complex operations from manufacturing through customer deliveries




  • $3 million

    savings opportunities by changing product mix



  • 5%

    capacity gain opportunity identified



  • identified

    methods to handle increased demand




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: Monsanto

agribusiness ($15 billion revenue)

producer of genetically engineered seed and herbicide

business challenge

to improve alignment among the brands by either increasing utilization of existing distribution capabilities or developing new go-to-market strategies




The business insights that we obtained from CI’s approach in solving this problem were outstanding. They were able to take a very complex situation and bring clarity to our operational options.
Scott Dantuono • Distribution Manager • Monsanto


solution

network optimization

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

data governance • model extremely complex operations from manufacturing through customer deliveries



  • reduced costs

    of inter-facility transportation with better product positioning



  • reduced storage costs

    with better facilities utilization



  • decreased

    operational complexity




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: Non-Metallic Mineral Manufacturing





















industry

nonmetallic mineral manufacturing

($500 million revenue)

business challenge

to identify near term, specific opportunities to reduce transportation costs






solution

transportation analysis

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

data governance • segmented analysis into inbound, inter-facility and outbound to dive deep into transportation costs for savings opportunities

  • $2 million

    savings opportunity identified from low cost carrier selection



  • $1.3 million

    savings opportunity identified from carrier consolidation



  • $2.1 million

    savings opportunity identified from applying discount to high volume lanes



  • $400 thousand

    savings opportunity identified from shipping directly from plant instead of going through a Distribution Center




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: Hospira





pharmaceuticals($5 billion revenue)

provider of injectable drugs and infusion technologies

business challenge

to gain greater detailed performance insights into the operating network to determine if there is a better approach for servicing customers




I continue to be impressed by the system.
John Elliot • Senior Vice President of Operations • Hospira


solution

network optimization &
performance analysis

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

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




  • $20 million

    savings opportunity identified



  • insights

    for SKU-level strategies



  • data refreshing

    revelaed profit opportunities that can be tracked



  • cross-functional

    use of profit insights




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: Darden Restaurants



food services($6 billion revenue)

operating multi-brand casual dining restaurant chains

business challenge

to identify the best strategies for Resource Allocation to position people and money in order to enable the supply chain to most effectively respond to risk 

solution

supply chain risk analysis

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

identify areas of supply chain risk • develop mitigation strategies to minimize financial impact from supply chain disruptions



  • created

    a common language and supply chain platform around risk



  • established

    organizational focus on critical vulnerabilities



  • connected

    implications of global forces to supply chain execution, vulnerability, guest and shareholder value



  • devised

    mitigation strategies to minimize exposure to vulnerability




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.