
Logistics and Supply Chain Presentations: Freight, Last Mile, and Distribution Center Strategy
Logistics presentations combine the operational rigor of supply chain management with the financial analysis of network optimization. Leaders in freight, distribution, and last-mile delivery present to executives on cost reduction opportunities, carrier performance, network strategy, and capital investment decisions.
Carrier Performance Reviews
Key carrier performance metrics
- On-Time Delivery (OTD): Percentage of shipments delivered by promised date
- Transit time performance: Actual transit time vs. standard transit time
- Damage rate: Percentage of shipments with damage claims
- Claim resolution time: Average days to resolve damage claims
- Rate accuracy: Percentage of invoices that match quoted rates
Visualization: A scorecard table with each carrier in rows, metrics in columns, RAG status (red/amber/green) for each cell. Sort by overall performance score. Carriers below threshold in red are the conversation focus.
Carrier benchmark comparison
Show how your carrier performance compares to industry benchmarks:
- Industry average OTD: 94-96% for most freight modes
- Your average OTD: [actual]
- Your best carrier's OTD: [actual]
- Your worst carrier's OTD: [actual]
This context tells leadership whether the performance problems are systemic (all carriers below benchmark) or specific (one carrier is a clear outlier).
Network Optimization Presentations
Current network assessment
For a distribution network analysis:
- Map of current DCs/warehouses, supplier locations, and customer clusters
- Average distance to customer by order (weighted average miles)
- Transit time distribution (what percentage of orders reach customers in 1/2/3/4+ days)
- Cost breakdown: DC costs + freight costs + inventory carrying costs by network node
Visualization: A geographic map with:
- Bubble markers for DC locations (sized by throughput volume)
- Customer density heat map overlay
- Freight flow arrows from DCs to major customer regions
Network optimization scenarios
For each proposed network scenario:
- DC locations (opening/closing/relocating)
- Impact on transit time to customers
- Impact on freight costs
- Impact on DC operating costs
- Capital investment required
- Net annual cost impact vs. current state
Visualization: A table comparing scenarios across these dimensions, plus a map showing each scenario's network footprint.
Last-mile delivery analysis
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For e-commerce or direct-to-consumer businesses:
- Cost per delivery by zip code or delivery zone
- Delivery success rate by zone (first attempt, requiring re-attempt)
- Carrier performance comparison by zone (where USPS outperforms UPS vs. vice versa)
- Carrier concentration risk (what percentage of volume is with each carrier)
Visualization: Choropleth map (geographic map with color-coded regions by metric) showing cost per delivery or carrier performance by geography. Immediately shows geographic variation patterns.
Distribution Center Automation ROI Presentations
When presenting a major automation investment (sortation systems, robotic picking, conveyor systems):
Current state analysis:
- Current throughput capacity (units/hour)
- Labor hours per unit shipped
- Error rate
- Capacity utilization (peak vs. average)
Proposed automation impact:
- Throughput capacity increase
- Labor reduction (FTEs, costs)
- Error rate reduction
- Flexibility to handle peak seasons
Financial case:
- Capital investment
- Ongoing maintenance costs
- Labor savings (year 1, 2, 3)
- Payback period and IRR
- Sensitivity to labor cost assumptions
Frequently Asked Questions
How do I present when we're highly dependent on a single carrier that has performance issues?
Address the dependency explicitly: "We have 67% of our parcel volume with Carrier X. Their recent OTD performance of 87% is below our 95% threshold and creating customer service issues. Our plan to diversify includes [specific actions: qualifying Carrier Y for a 20% share, piloting Carrier Z in the Northeast]. We cannot execute this transition faster than [timeline] because [specific constraints]."
What's the most important logistics metric for executive audiences?
Cost per unit shipped and customer experience metrics (on-time delivery rate, damage rate). Executives understand these in business terms. Transit time, carrier scorecard details, and freight mode optimization belong in operational reviews.
How do I show the ROI of logistics improvement when the savings are distributed across many small gains?
Build a bridge waterfall: Current cost per unit → carrier consolidation savings → routing optimization savings → packaging reduction savings → DIM weight reduction → Projected cost per unit. This shows how small individual improvements combine to meaningful total savings.
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