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Publix Super Markets Engineering

To build innovative technology systems that create the premier shopping experience customers love and associates are proud to deliver.

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To build innovative technology systems that create the premier shopping experience customers love and associates are proud to deliver.

Strengths

  • INFRASTRUCTURE: Robust physical and digital infrastructure
  • TALENT: Strong engineering talent with retail domain expertise
  • INTEGRATION: Seamless omnichannel shopping experience technology
  • RELIABILITY: 99.98% system uptime across all digital platforms
  • SECURITY: Industry-leading data protection protocols

Weaknesses

  • LEGACY: Aging legacy systems limiting technological agility
  • PIPELINE: Insufficient DevOps pipeline automation and maturity
  • ANALYTICS: Underdeveloped data analytics capabilities
  • TALENT: Challenges attracting specialized engineering talent
  • ADOPTION: Slow new technology adoption compared to competitors

Opportunities

  • MOBILE: Enhanced mobile app features to drive digital engagement
  • AUTOMATION: In-store technology automation for efficiency gains
  • PERSONALIZATION: AI-driven personalized shopping experiences
  • SUSTAINABILITY: Green technology initiatives for operations
  • INTEGRATION: Third-party delivery platform integrations

Threats

  • COMPETITION: Tech-forward competitors like Amazon and Walmart
  • SECURITY: Increasing sophistication of cyber security threats
  • EXPECTATIONS: Rapidly changing customer technology expectations
  • TALENT: Competition for specialized engineering talent
  • COMPLIANCE: Evolving data privacy regulations and compliance costs

Key Priorities

  • MODERNIZE: Accelerate legacy system modernization
  • DATA: Develop advanced data analytics capabilities
  • TALENT: Enhance engineering talent acquisition and development
  • EXPERIENCE: Elevate digital customer experience technologies
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To build innovative technology systems that create the premier shopping experience customers love and associates are proud to deliver.

MODERNIZE SYSTEMS

Transform legacy technology into cloud-native platforms

  • MIGRATION: Complete cloud migration for 40% of legacy applications with zero downtime by Q2 end
  • ARCHITECTURE: Deploy microservices architecture framework across 3 critical customer-facing systems
  • AUTOMATION: Achieve 85% test automation coverage for all modernized applications reducing QA time by 30%
  • PERFORMANCE: Reduce average API response time by 40% across all modernized systems improving UX metrics
MASTER DATA

Unlock business value through advanced data capabilities

  • PLATFORM: Launch unified data platform connecting 100% of operational data sources by quarter end
  • INSIGHTS: Implement 5 new predictive analytics models with 85%+ accuracy for inventory management
  • GOVERNANCE: Deploy data quality monitoring across all critical data pipelines reducing errors by 60%
  • ADOPTION: Train 250+ associates on new data tools with 90% achieving certification by Q2 close
GROW TALENT

Build world-class engineering capabilities and culture

  • HIRING: Fill 90% of open engineering positions with 35% diverse candidates by end of quarter
  • RETENTION: Improve engineering team retention by implementing new career paths for 100% of engineers
  • DEVELOPMENT: Launch technical mentorship program with 75% engineer participation and 90% satisfaction
  • COMMUNITY: Establish 3 technology meetups and sponsor 2 hackathons to enhance employer brand
DELIGHT USERS

Create exceptional digital experiences customers love

  • MOBILE: Increase mobile app engagement by 25% through launch of 5 new seamless shopping features
  • PERSONALIZATION: Implement AI-driven personalization increasing digital basket size by 15%
  • FEEDBACK: Achieve digital customer satisfaction score of 4.7/5 across all platforms and touchpoints
  • SPEED: Reduce average checkout time by 30% through streamlined payment processing technology
METRICS
  • DIGITAL ENGAGEMENT: 60% of customers using digital platforms for shopping
  • SYSTEM RELIABILITY: 99.99% uptime for all customer-facing systems
  • DEPLOYMENT VELOCITY: 3x increase in deployment frequency with <1% failure rate
VALUES
  • Customer-first innovation
  • Engineering excellence
  • Collaborative problem-solving
  • Data-driven decision making
  • Continuous improvement
Align the learnings

Publix Super Markets Engineering Retrospective

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To build innovative technology systems that create the premier shopping experience customers love and associates are proud to deliver.

What Went Well

  • REVENUE: 7.3% YoY revenue growth exceeding industry average of 4.2%
  • DIGITAL: 28% increase in digital orders through improved platform
  • STABILITY: Zero critical outages during high-volume holiday periods
  • DEPLOYMENT: Reduced deployment times by 40% through CI/CD improvements
  • SECURITY: Successful implementation of enhanced security protocols

Not So Well

  • PROJECTS: Three major technology projects delivered behind schedule
  • COSTS: Technology operations costs exceeded budget by 12%
  • TALENT: Engineering team turnover rate increased to 18%
  • ANALYTICS: Customer data analytics initiatives delivered limited ROI
  • LEGACY: Legacy system maintenance costs increased by 15%

Learnings

  • AGILITY: Need for more agile project management methodologies
  • PRIORITIZATION: Improved technology investment prioritization needed
  • COLLABORATION: Enhanced business-technology collaboration required
  • TECHNICAL-DEBT: Systematic approach to reduce technical debt needed
  • SKILLS: Critical skills gap in cloud engineering and data science

Action Items

  • MODERNIZE: Accelerate legacy system modernization with cloud migration
  • TALENT: Implement engineering talent development and retention program
  • AUTOMATION: Increase deployment automation to reduce manual processes
  • DATA: Establish unified data platform for analytics and AI initiatives
  • GOVERNANCE: Implement improved technology investment governance model
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To build innovative technology systems that create the premier shopping experience customers love and associates are proud to deliver.

Strengths

  • FOUNDATION: Strong data infrastructure foundation for AI
  • PILOTING: Successful AI pilots in inventory management
  • LEADERSHIP: Executive leadership support for AI initiatives
  • PARTNERSHIPS: Strategic technology partnerships for AI adoption
  • RESOURCES: Financial resources available for AI investment

Weaknesses

  • EXPERTISE: Limited specialized AI/ML engineering talent
  • INTEGRATION: Fragmented data sources limiting AI effectiveness
  • GOVERNANCE: Underdeveloped AI governance framework
  • ROADMAP: Lack of comprehensive AI implementation roadmap
  • CULTURE: Organizational resistance to AI-driven change

Opportunities

  • PERSONALIZATION: AI-driven personalized customer experiences
  • FORECASTING: Advanced demand forecasting to reduce waste
  • AUTOMATION: Store operations automation through AI
  • OPTIMIZATION: Supply chain optimization through predictive AI
  • ENGAGEMENT: Conversational AI for enhanced customer service

Threats

  • COMPETITION: Competitors' aggressive AI implementation
  • EXPECTATIONS: Rising customer expectations for AI capabilities
  • ETHICS: Evolving AI ethics and regulatory landscape
  • INVESTMENT: Significant investment required to remain competitive
  • DISRUPTION: Potential business model disruption through AI

Key Priorities

  • TALENT: Build specialized AI engineering capabilities
  • PLATFORM: Develop unified AI/ML platform for all applications
  • GOVERNANCE: Establish comprehensive AI governance framework
  • EXPERIENCE: Prioritize customer-facing AI applications