Course

Credit Type:
Course
ACE ID:
WALM-0220
Version:
1
Organization's ID:
5006 or 5007(PR version)
Organization:
Location:
Classroom-based
Length:
3 days (24 hours)
Minimum Passing Score:
70
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 2 Retail Operations Management
Competency Framework Statement
Lightcast Skills Supervision
Lightcast Skills Management
Lightcast Skills Communications
Lightcast Skills Operations
Lightcast Skills Investigation
Lightcast Skills Artificial Intelligence
Lightcast Skills Research
Description

Objective:

The course objective is to develop the ability to analyze and improve Fresh operations using data-driven decision-making, operational standards, and financial analysis. Learners will interpret key performance metrics and P&L data, identify root causes of operational issues, and apply structured problem-solving to enhance member experience, compliance, and profitability.

Learning Outcomes:

  • Analyze Fresh operational data and key performance indicators (KPI) to assess business performance and identify trends
  • Interpret P&L statements to evaluate financial health and operational effectiveness
  • Apply food safety and compliance standards to ensure product quality and protect the health of associates and members alike
  • Use systems and tools (e.g., Fresh app, dashboards, etc.) to monitor performance and guide decision-making
  • Implement leadership strategies to develop associates, reinforce standards, and drive accountability in daily operations
  • Monitor and adjust operational plans using performance data to ensure effectiveness and continuous improvement and/or sustained results

General Topics:

  • The role of Fresh in driving overall member experience, membership value, and overall business performance
  • Waste reduction strategies, including reductions, donations, shrink, and sustainability practices
  • Operational execution standards (specs, planograms, production, etc.)
  • Interpreting Fresh and Club profit and loss statements, including key financial drivers (sales, labor, waste, shrink)
  • Analyzing trends, variances, and operational gaps using data and club observations
  • Applying root cause analysis to address performance issues (e.g., shrink, food safety, execution gaps)
  • Conducting structured club tours to assess operational effectiveness and identify improvement opportunities
  • Developing data-driven action plans with defined goals, timelines, and accountability measures
  • Applying leadership strategies to coach associates, reinforce standards, and improve execution
  • AI Agent guide for Club Tours through Open AI ChatGPT Enterprise
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Classroom Exercise
  • Coaching/Mentoring
  • Computer Based Training
  • Discussion
  • Learner Presentations
  • Lectures
  • Practical Exercises
  • Work-based Learning
  • AI- Partnered Touring

Methods of Assessment:

  • Case Studies
  • Quizzes
  • Written Papers
Supplemental Materials
Equivalencies