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Loss Prevention
Control
Reduce Shrink &
Increase Profitability




   Sep, 2012     Jun, 2013   Dec, 2013
What studies show
 Deloitte Consulting:
 Shrink is a big problem for retailers. In fact, for a typical supermarket or discount
  store, the impact of shrink is felt everywhere – within individual departments,
  across functions, and throughout the supply chain. This coverage makes managing
  shrink difficult, but not impossible.
 The right kind of program can reduce shrink by 20-40 %. A reduction of this
  magnitude puts real money back into the business.
 Larry Miller, Director in the National Supermarket Research Group, US, points out,
  “Best-in-class supermarket operators have realized that shrink recovery can be
  their top profit source.”

 Pricewaterhouse Coopers:
 The retail and consumer industry is one of the sectors hardest hit by economic
  crime,
 In the retail sector, companies face a two-fold threat, from ‘shrinkage’ – theft of
  goods by both customers and employees – on the one side, to the broader
  spectrum of economic crimes such as accounting fraud, corruption and bribery,
  and intellectual property (IP) infringement on the other.
Innovative Loss Prevention
• From Traditional to Futuristic- a path forward



• Current environment             Initiative
                                                        Common
                                                       Challenges

• From traditional to future
• A path forward                               What
                                               Works
Loss Prevention – common challenges
Traditional environment

   Information poor data;
   Continued reduction of resources;
   Reactive to failures;
   Post-incident reporting;
   Duplication of efforts for compliance;
   Absence of historical data analysis and trending;
   Minimal or no efforts on root cause analysis
                                Emerging vision

   Information rich data;
   Improved efficiency in resources;
   Rapid detection of trends and patterns;
   Risk identification – loss forecasting to help prevent;
   Frequent audits based on real time data;
   Collaborative efforts with other compliance teams;
Overall assurance

Today

                                         Multiple points of view related to
                                          operations
          Risks                          Differing perspectives on risk
                                         Potential for duplication and gaps
                                          in coverage
                                         Reduced visibility in the linkage
                                          between sources of assurance
Tomorrow

 Collaboration across departments
 Develop a common view of risk      Internal Controls            Store Operations
  related to the stores/locations
 Presents a clear path to how key         Risks                    Compliance
  risks are being covered
                                     Loss Prevention              Health & Safety
 This is more than developing
  improvements in risk-based                             Others
  internal auditing
Comprehensive & analytical approach
   Understanding critical
    processes and existing
    sources of loss;                             Root Cause
                                                  Analysis
   Isolating and quantifying key
    drivers of loss;
   Coordinating across functional
    areas to develop a common
    view of risk;
   Address key drivers and         Identify
                                               Shrink Analytical
                                   Drivers &                       Forecasting
    monitor effectively and          Trends
                                                    Engine
    efficiently
   Implementing a targeted
    solution to rapidly detect
    early warning signs and
    address out of tolerance                        Store
    situations;                                   Profiling &
   Better allocating resources to                Clustering
    high risk stores and
    operational areas
Benefits of analytical approach
                                   Reduce loss across historically poor
                                  1
 Benefits                           performing stores and products;

                                  
                                  2   Targeted opportunities directed at
                                      addressing factors highly correlated
                          5
                                      and believed to be causing loss;
                     4
                                  
                                  3   Shrinking the interval from
                                      detecting to resolving at stores that
                3                     have yet to disclose continued poor
                                      performance;
            2
                                  
                                  4   More efficiently allocating out loss
                                      prevention resources;
       1

                                   Streamlining reporting systems and
                                  5
                                    Controls

                          Loss
Roadmap to Loss Prevention & Control

• Sep, 2012
    Sep, 2012                                  Dec, 2012                         Jun, 2013

  Build baseline                                                                 Rebuild baseline
     models                                Operations                                models


  Finance           Validate                     Enhance                                  Finance
  Merchandize      Accuracy &                   Operations                                Merchandize
  Management         Value                       Activities                               Management


                                                                      Measure Results
                                  Refine
                                Dashboard
                                Capabilities                                             Finance
             Finance                                                                     Merchandize
             Merchandize                                                                 Operations
                                     Monitor Leading indicators & Trends                 Management




                           Management              Address Out of Tolerance indicators

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LPC aswaaq 2012-13

  • 1. Loss Prevention Control Reduce Shrink & Increase Profitability Sep, 2012 Jun, 2013 Dec, 2013
  • 2. What studies show  Deloitte Consulting:  Shrink is a big problem for retailers. In fact, for a typical supermarket or discount store, the impact of shrink is felt everywhere – within individual departments, across functions, and throughout the supply chain. This coverage makes managing shrink difficult, but not impossible.  The right kind of program can reduce shrink by 20-40 %. A reduction of this magnitude puts real money back into the business.  Larry Miller, Director in the National Supermarket Research Group, US, points out, “Best-in-class supermarket operators have realized that shrink recovery can be their top profit source.”  Pricewaterhouse Coopers:  The retail and consumer industry is one of the sectors hardest hit by economic crime,  In the retail sector, companies face a two-fold threat, from ‘shrinkage’ – theft of goods by both customers and employees – on the one side, to the broader spectrum of economic crimes such as accounting fraud, corruption and bribery, and intellectual property (IP) infringement on the other.
  • 3. Innovative Loss Prevention • From Traditional to Futuristic- a path forward • Current environment Initiative Common Challenges • From traditional to future • A path forward What Works
  • 4. Loss Prevention – common challenges Traditional environment  Information poor data;  Continued reduction of resources;  Reactive to failures;  Post-incident reporting;  Duplication of efforts for compliance;  Absence of historical data analysis and trending;  Minimal or no efforts on root cause analysis Emerging vision  Information rich data;  Improved efficiency in resources;  Rapid detection of trends and patterns;  Risk identification – loss forecasting to help prevent;  Frequent audits based on real time data;  Collaborative efforts with other compliance teams;
  • 5. Overall assurance Today  Multiple points of view related to operations Risks  Differing perspectives on risk  Potential for duplication and gaps in coverage  Reduced visibility in the linkage between sources of assurance Tomorrow  Collaboration across departments  Develop a common view of risk Internal Controls Store Operations related to the stores/locations  Presents a clear path to how key Risks Compliance risks are being covered Loss Prevention Health & Safety  This is more than developing improvements in risk-based Others internal auditing
  • 6. Comprehensive & analytical approach  Understanding critical processes and existing sources of loss; Root Cause Analysis  Isolating and quantifying key drivers of loss;  Coordinating across functional areas to develop a common view of risk;  Address key drivers and Identify Shrink Analytical Drivers & Forecasting monitor effectively and Trends Engine efficiently  Implementing a targeted solution to rapidly detect early warning signs and address out of tolerance Store situations; Profiling &  Better allocating resources to Clustering high risk stores and operational areas
  • 7. Benefits of analytical approach  Reduce loss across historically poor 1 Benefits performing stores and products;  2 Targeted opportunities directed at addressing factors highly correlated 5 and believed to be causing loss; 4  3 Shrinking the interval from detecting to resolving at stores that 3 have yet to disclose continued poor performance; 2  4 More efficiently allocating out loss prevention resources; 1  Streamlining reporting systems and 5 Controls Loss
  • 8. Roadmap to Loss Prevention & Control • Sep, 2012 Sep, 2012 Dec, 2012 Jun, 2013 Build baseline Rebuild baseline models Operations models Finance Validate Enhance Finance Merchandize Accuracy & Operations Merchandize Management Value Activities Management Measure Results Refine Dashboard Capabilities Finance Finance Merchandize Merchandize Operations Monitor Leading indicators & Trends Management Management Address Out of Tolerance indicators