Blake Martin

Core Features

Order Management

• •Order sequencing interface for job grouping and reordering to minimize knife changes and setup time
• •Job-combination optimization algorithm reducing excess roll production by 70% per order, cutting inventory buildup and waste
• •Automated production worksheet generation from optimized sequences for floor operators

Shift Reporting:

• •Digital shift reports for supervisors to track output, downtime, waste, and quality metrics across crews
• •Automatic rollup of shift data into daily, weekly, monthly, and yearly summaries
• •50 hours/month saved in administrative overhead through workflow automation

Deployment:

• •Full deployment, onboarding, and training for planners and supervisors
• •Functional testing, reconciliation checks, and UAT for operational and audit compliance
• •Validation documentation covering system behavior, assumptions, and maintenance procedures

Analytics & Reporting:

• •YTD and prior-year tracking at client, rep, store, state, and regional levels with drill-downs from executive summaries to individual months and transactions
• •Growth and decline identification for top clients and YoY sales performance analysis by rep to measure performance trends
• •Product-level trend analysis with side-by-side comparisons and rolling metrics to identify demand shifts, product mix changes, and seasonality
• •Automated discount reporting by rep, client, and category for margin impact evaluation and commission calculations
• •Quote volume, conversion rates, days-to-close, and open order value tracking with auditability through invoice-level drill-downs

Deployment:

• •End-to-end deployment including Microsoft tenant setup, workspace configuration, access control, and sales team onboarding
• •Comprehensive client documentation covering dashboard structure, data definitions, and modification guidance for non-technical users

Degree Tracking:

• •Automated degree audits breaking down requirements by category with completed vs. remaining credit indicators
• •Progress tracking showing completion percentage, credit totals, and upper-level credit requirements
• •Term-by-term academic history with course records and grades for advising conversations

Course Recommendations:

• •Recommendation engine surfacing remaining requirements and eligible courses based on program rules and student progress
• •Real-time course availability data including instructors, delivery format, and seat counts for schedule planning
• •Direct schedule-building from recommendations to streamline advising sessions

Implementation:

• •Full-stack development: backend API design, data access layer, and frontend interface
• •Secure data access to student records and program requirements with validation and error handling
• •Deployment and environment configuration for advisor and student access