Executive Overview
Objective: Improve on‑time delivery and machine utilization within 90 days using AI‑driven production scheduling optimization.
BaselineClient input
On‑time delivery85%
Machine utilization68%
Target UpliftPoV goal
Delivery reliability+5–10 pts
Utilization lift+8–12%
Scope90 days
- Week 1–2: Data ingest & quality checks
- Week 3–6: Optimizer + shadow test
- Week 7–10: Controlled rollout & monitoring
Deliverables: scheduling dashboard, evaluator, governance pack, 1‑page ROI memo.
Proposal Materials
PoV One‑Pager
Summary of scope, KPIs, governance & success criteria.
FAQ
How optimization works, data needed, explainability.
How does the optimizer work?
It learns job sequences, setup times, routings, and constraints (machines, tools, operators, shifts), then proposes schedules that minimize late orders and idle time.
What data is needed?
Job orders, BOM/routing, setup/teardown times, machine calendars, operator availability, shift patterns, due dates, penalties.
Commercials
| Item | Price | Notes |
|---|---|---|
| Fixed PoV fee | $XX,000 | Includes setup, modeling, dashboard |
| Success component | $Y per % uplift | Capped at Z% |
Demo & Metrics (Mock Data)
On‑Time Delivery — Baseline vs Optimized
Toggle optimization strength to see expected results.
10%
Machine Utilization Impact
Illustrative uplift from reduced idle time & better sequencing.
Value Calculator
Projected annual value uplift$0.00
Assumes uplift = units × rev × (optimization_strength ÷ 100) × 0.1 (conservative factor). Tweak to match your economics.
Risk & Governance ("Governance in a Box")
Risk Matrix
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Production disruption | Low | Medium | Shadow mode → staged rollouts |
| Data quality gaps | Medium | Medium | Initial validation + weekly hygiene checks |
| Model drift | Medium | Medium | Weekly evaluator + watch thresholds |
Controls & Guardrails
- Evaluator model validates schedules before release
- Human‑in‑the‑loop approvals for critical changes
- Audit log: who changed what, when
Compliance Pack
Templates: change management plan, rollback guide, RACI, and KPI sign‑off forms.
Case Comp Cards (Analogous Wins)
Automotive
Tier‑2 supplierReduced lateness by 12% via setup‑aware sequencing.
Plastics
Injection molding+10% machine utilization by batching color/material changes.
Pharma
Batch schedulingThroughput +9% while meeting compliance windows.
Collaboration & Q&A
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Next Steps & Action Tracker
| Action | Owner | Due | Status |
|---|---|---|---|
| Share 12 weeks of job history & routings | Client Ops | MM/DD | |
| Confirm shift calendar & constraints | Client HR | MM/DD | |
| Book 2‑hour AI Scheduling Workshop | Both | MM/DD |