Value Stream Map: Order-to-Delivery Process

Midwest Premier Logistics


Process Flow Overview

CUSTOMER

Customer Order (EDI/Portal/Email)

ORDER MANAGEMENT

Order Receipt (5 min)Order Validation (15 min)Inventory Check (10 min)Order Confirmation (5 min)

TRANSPORTATION PLANNING

Load Building (20 min)Rate Shopping (45 min) Carrier Selection (15 min)Tender to Carrier (10 min)Carrier Acceptance (2-4 hrs)

WAREHOUSE OPERATIONS

Pick Wave Release (5 min)Order Picking (45 min)Packing/Staging (30 min)Load Trailer (45 min)BOL Generation (10 min)

TRANSPORTATION EXECUTION

Driver Check-in (15 min)Trailer Inspection (10 min)Departure Scan (5 min)In-Transit TrackingDelivery Confirmation (15 min)


Process Metrics Summary

PhaseStepsTotal TimeValue-Add TimeWait TimeSystems
Order Management435 min30 min5 minSAP, WMS
Transportation Planning53-5 hrs1.5 hrs2-4 hrsTMS, DB2
Warehouse Operations52.25 hrs2 hrs15 minWMS
Transportation Execution5Variable45 minN/ATMS, FourKites

Total Lead Time: 6-8 hours (same-day) to 24+ hours (standard)


Pain Points Identified

1. Rate Shopping (45 min)

2. Carrier Acceptance (2-4 hrs)

3. Data Silos


Handoff Points (Integration Gaps)

FromToIntegration TypeFrequencyReliability
SAP → TMSManual CSVDaily95%
SAP → WMSBatch APIHourly98%
WMS → TMSReal-time APIEvent-driven99%
TMS → CarrierEDI 204/990Real-time97%
TMS → FourKitesAPIReal-time99%
WMS → DB2QueryOn-demand99%

AI Workflow Opportunities

Quick Wins (0-3 months)

  1. Rate Shopping Automation
    • Input: Lane, weight, equipment, date
    • Output: Ranked carrier options with confidence scores
    • Savings: 30 min/load × 50 loads/day = 25 hrs/day
  2. Exception Alerting
    • Monitor: Delivery appointments, carrier acceptance, temp readings
    • Alert: Proactive notification with recommended actions
    • Impact: Reduce reactive fire-fighting by 40%

Medium-Term (3-6 months)

  1. SOP Digitization
    • Convert 40+ SOPs to structured workflows
    • Enable AI-assisted training and compliance checking
    • Reduce onboarding time by 50%
  2. Demand Forecasting Integration
    • Combine historical data with customer forecasts
    • Pre-position inventory, pre-book carrier capacity
    • Improve on-time delivery by 3-5%

Long-Term (6-12 months)

  1. Autonomous Planning
    • AI builds loads, selects carriers, tenders shipments
    • Human approval for exceptions only
    • Target: 80% touchless load execution

Document Owner: Sarah Chen, VP Operations
Last Updated: 2026-01-15
Version: 1.2