Operations Hub
PM Case Study
Operations Hub
Medical Supply Operations Workflow Modernization
A Product Management case study focused on replacing a spreadsheet-driven workflow used to manage patient orders, pricing approvals, document generation, and fulfillment operations.
Problem Solved
Spreadsheet-driven operations
Solution
Workflow modernization platform
MVP Scope
Must Have + Should Have features
Future Vision
AI-enabled operational intelligence
The Problem
Spreadsheet-Driven Operations
Many medical supply providers still rely on spreadsheets, email chains, and manual reviews to process patient orders. Each step in the workflow depends on individual knowledge rather than structured processes.
This creates operational bottlenecks, approval delays, inconsistent pricing decisions, and limited scalability as the business grows.
Pain Points
Manual order review with no audit trail or approval history
Spreadsheet-driven pricing creates inconsistent margin decisions
Document preparation is slow, manual, and error-prone
No centralized view of order status across the workflow
Operational knowledge lives in individuals, not systems
My Role
Product Lead
As Product Lead, I was responsible for defining the product vision, analyzing operational workflows, identifying business pain points, prioritizing requirements, and designing the MVP roadmap.
This case study focuses on product strategy, workflow modernization, operational efficiency, and future-state opportunity analysis.
Responsibilities
Proposed Solution
Four Operational Modules
Centralized Operations Dashboard
Single operational view for approvals, work queue, payments, fulfillment status, and proactive risk alerts.
Expected Outcome: ↓ Faster operational visibility
View in prototype →
Structured Order Workflow
Guided order creation and approval process with built-in validation, documentation checks, and operational intelligence.
Expected Outcome: ↓ Reduced approval delays
View in prototype →
Automated Document Generation
Encounter forms, invoices, and proof of delivery generated automatically when an order is approved.
Expected Outcome: ↓ Reduced administrative effort
View in prototype →
Centralized Product & Vendor Catalog
Products, pricing rules, vendor relationships, and operational requirements managed in one place.
Expected Outcome: ↓ Improved pricing consistency
View in prototype →
Product Decisions
Product Decisions
Key product strategy decisions that shaped the MVP scope.
Why Approval Before Fulfillment?
Approval was intentionally positioned before fulfillment to ensure pricing validation, insurance requirements, and operational risk reviews are completed before downstream work begins. This reduces rework, fulfillment delays, and financial exposure.
Why Automated Document Generation?
Document generation occurs automatically after approval to eliminate repetitive administrative work. This ensures every approved order follows a consistent documentation process without manual intervention.
Why A Centralized Product Catalog?
Products, pricing rules, vendor relationships, and operational requirements were consolidated into a single source of truth. This removes spreadsheet dependencies and ensures consistent operational decision-making across teams.
Why AI Was Excluded From The MVP?
The MVP focuses on workflow standardization, operational visibility, and process consistency first. AI opportunities were intentionally identified but deferred until sufficient operational data exists to support reliable machine learning models.
MVP Scope
Prioritization Framework
Must Have
Operations Dashboard
Order Creation
Approval Workflow
Documents Center
Product & Vendor Catalog
Should Have
Workflow Automation
Approval Confidence Indicators
Business Rule Engine
Future
AIVendor Recommendation Engine
Prior Authorization Prediction
Pricing Anomaly Detection
Fulfillment Optimization
Prototype Walkthrough
Workflow Demonstration
Future AI Opportunities
Identified AI Enhancements
The MVP focuses on workflow modernization and operational visibility. AI capabilities were intentionally identified as future enhancements after the core workflow foundation was established.
Vendor Recommendation Engine
Recommend optimal vendors using historical profitability, fulfillment speed, and regional performance.
Prior Authorization Prediction
Predict authorization requirements before order submission using historical approval patterns.
Pricing Anomaly Detection
Automatically detect abnormal pricing behavior, low-margin orders, or billing errors.
Fulfillment Routing Optimization
Recommend optimal fulfillment routing based on geography, inventory, and vendor performance.
Expected Business Outcomes
Operational Impact
Projected operational improvements based on workflow modernization and automation.
Order Approval Time
Current
1–2 Days
Target
Same Day
Document Preparation
Current
30+ Minutes Per Order
Target
Automated
Operational Visibility
Current
Fragmented Across Teams
Target
Centralized Dashboard
Pricing Consistency
Current
Manual Review
Target
Rule-Based Validation
Workflow Scalability
Current
People-Dependent
Target
System-Driven
Approval Confidence
Current
Experience-Based
Target
Data-Supported
Metrics represent expected operational improvements based on process redesign and workflow automation opportunities identified during product analysis.
About This Case Study
Product Management Focus Areas
Prototype
Launch Full Workflow Prototype
Explore the complete operational journey from order creation through approval, document generation, catalog management, and future AI opportunities.
Included in this prototype
Operations Dashboard
Order Creation Workflow
Approval & Risk Review
Automated Documents Center
Product & Vendor Catalog
AI Opportunities Roadmap