Fresh Operations Analytics System

Situation

Fresh operations across produce, bakery, deli, and meat required tighter control over shrink, in-stock execution, and labor alignment. Existing review loops were too slow and heavily reactive.

System Built

I built an integrated operations intelligence framework:

• Shrink dashboard with trend and cause-code visibility
• In-stock audit scorecards tied to routine ownership
• Labor versus volume analysis for staffing decisions
• Standardized operating playbooks for opening, closing, receiving, and inventory
• Weekly business review package with preformatted reporting templates

Technical Design

• Spreadsheet-first data model designed for non-technical users
• KPI definitions and thresholds standardized by department
• Structured review cadence: daily pulse, weekly deep dive, monthly trend review
• Metric-to-action mapping: each KPI linked to owner, threshold, and response

Operational Change

The organization shifted from ad-hoc issue discovery to a disciplined routine where risks were surfaced quickly and acted on using consistent response playbooks.

Results

• Drove 22% perishable shrink reduction
• Delivered 15% Fresh merchandise comp growth on a $70M+ scope
• Improved execution consistency across shifts and department leaders
• Better labor utilization through volume-aware staffing decisions
• Faster identification of operational drift

Artifacts

• Product page: /products/fresh-production-app/
• Related operational app demo: Fresh Production App guest mode
• Supporting proof links: / -> Proof Spine

Role Scope

I defined the KPI framework, built the tracking and review structure, and led adoption with department managers. Result ownership was shared across the leadership team, with system design and cadence ownership led by me.