On-Time Delivery Monitoring
Automated tracking of supplier delivery performance with late shipment alerts, root cause analysis, and performance trend prediction
Why This Matters
What It Is
Automated tracking of supplier delivery performance with late shipment alerts, root cause analysis, and performance trend prediction
Current State vs Future State Comparison
Current State
(Traditional)On-time delivery (OTD) performance is calculated manually by comparing PO due dates to actual goods receipt dates in the ERP system. Buyers typically run monthly reports to identify chronic late suppliers, but miss individual late deliveries until they impact production or customer orders. Root cause analysis for late deliveries requires manual investigation through emails and phone calls with suppliers. Performance trends are difficult to spot until patterns are well-established.
Characteristics
- • Real-Time Monitoring Platforms
- • CRM Systems
- • Data Analytics Dashboards
- • Excel Spreadsheets
- • Email Communication
- • Driver and Route Optimization Tools
Pain Points
- ⚠ Data fragmentation across multiple systems leading to manual consolidation and increased error risk.
- ⚠ Reactive management that identifies delays only after they occur, limiting proactive intervention.
- ⚠ Inadequate real-time monitoring of employee sentiment leading to potential burnout and engagement issues.
- ⚠ Challenges in aligning on-time delivery goals across multiple suppliers, especially in just-in-time environments.
Future State
(Agentic)An orchestrator agent coordinates continuous monitoring of all open purchase orders and in-transit shipments. Tracking agents monitor carrier systems, supplier portals, and warehouse receiving to predict delivery status. Analytics agents compare planned vs. actual delivery dates, calculate OTD metrics by supplier/commodity/location, and identify patterns in late deliveries. Alert agents proactively notify buyers of at-risk shipments 5-7 days before due dates, enabling proactive intervention. Root cause agents automatically classify delay reasons and track supplier improvement commitments.
Characteristics
- • ERP purchase orders with promised delivery dates
- • Goods receipt transactions with actual receipt timestamps
- • Carrier tracking systems (UPS, FedEx, freight forwarders)
- • Supplier advance shipping notices (ASN)
- • Warehouse receiving schedules and capacity
- • Production schedules showing material requirements
- • Historical delivery performance by supplier and lane
Benefits
- ✓ At-risk shipment alerts 5-7 days before due dates enable proactive intervention
- ✓ Real-time OTD monitoring replaces monthly lagging reports
- ✓ Automated root cause classification reduces investigation time by 80%
- ✓ Delivery reliability improves from 85-90% to 95%+ with predictive alerts
- ✓ Buyer productivity gain of 10-12 hours per month on delivery follow-up
Is This Right for You?
This score is based on general applicability (industry fit, implementation complexity, and ROI potential). Use the Preferences button above to set your industry, role, and company profile for personalized matching.
Why this score:
- • Applicable across multiple industries
- • Moderate expected business value
- • Time to value: 3-6 months
- • (Score based on general applicability - set preferences for personalized matching)
You might benefit from On-Time Delivery Monitoring if:
- You're experiencing: Data fragmentation across multiple systems leading to manual consolidation and increased error risk.
- You're experiencing: Reactive management that identifies delays only after they occur, limiting proactive intervention.
This may not be right for you if:
- Requires human oversight for critical decision points - not fully autonomous
Parent Capability
Real-Time Dashboards & Alerts
Delivers real-time dashboards with intelligent alerts achieving dramatic noise reduction, automated root cause analysis, and actionable insights.
What to Do Next
Related Functions
Metadata
- Function ID
- func-on-time-delivery-monitoring