See What You'll Get
Here's a sample pitch deck outline generated for GreenRoute Logistics, a fictional AI logistics startup raising a Series A.
Sample OutputGreenRoute Logistics — Series A Pitch Deck
10-slide investor pitch deck outline
Cover Slide
- •GreenRoute Logistics — AI-Powered Last-Mile Delivery Optimization
- •Series A: Raising $8M to scale across 15 metro areas
- •Founded 2023 | San Francisco, CA
The Problem
- •Last-mile delivery accounts for 53% of total shipping costs
- •Failed deliveries cost the industry $17.2B annually in the US alone
- •Route planning is still largely manual or uses basic heuristics
- •Increasing consumer demand for same-day and next-day delivery
Lead with the $17.2B stat — it's the attention-grabber. Then pivot to WHY: existing tools optimize for distance, not for real-world constraints like traffic patterns, building access, and package fragility. Ask the audience: 'When was the last time your delivery arrived exactly when expected?'
The Solution
- •AI route engine that considers 40+ real-time variables (traffic, weather, package type, customer preferences)
- •Reduces failed deliveries by 62% through smart delivery window predictions
- •Drop-in API integration — works with existing fleet management systems
- •Carbon tracking dashboard included for ESG reporting
Market Opportunity
- •Global last-mile delivery market: $132B (2024), projected $288B by 2030
- •Route optimization software TAM: $8.4B
- •Our SAM (mid-market logistics in US metros): $1.2B
- •Initial beachhead: e-commerce fulfillment companies in top 10 US cities
Traction & Metrics
- •$1.8M ARR, growing 22% month-over-month
- •38 paying customers including 3 enterprise logos (FedEx Ground, DoorDash, Gopuff)
- •Net Revenue Retention: 142% — customers expand as they add more routes
- •95% gross margin (cloud-native, API-first architecture)
This is your strongest slide — let the numbers speak. Highlight the 142% NRR specifically: 'Every dollar we earn today becomes $1.42 next year without any new sales.' Mention the enterprise logos for credibility but pivot quickly to the growth rate. Investors care about trajectory.
Business Model
- •SaaS pricing: $0.12 per optimized delivery (usage-based)
- •Average contract: $4,200/mo, growing to $6,800/mo within 6 months
- •Land with one depot, expand across the customer's entire network
- •Implementation: self-serve API (SMB) or white-glove onboarding (enterprise)
Competitive Landscape
- •Legacy players (Route4Me, OptimoRoute) — rule-based, no real-time adaptation
- •Big tech (Google OR-Tools) — generic, not purpose-built for last-mile
- •Our moat: proprietary delivery outcome dataset (8M+ deliveries) improving model accuracy daily
- •Only solution combining route optimization + delivery prediction + carbon tracking
Team
- •CEO: Former VP of Engineering at Flexport (scaled logistics platform to $3.2B valuation)
- •CTO: PhD in Operations Research from MIT, previously led ML team at UPS
- •VP Sales: Built enterprise sales at project44 from $0 to $40M ARR
- •12-person engineering team with deep logistics and ML expertise
The Ask
- •Raising $8M Series A at $40M pre-money valuation
- •Use of funds: 50% engineering (ML team expansion), 30% sales, 20% market expansion
- •18-month runway to $8M ARR and Series B readiness
- •Target: 150 customers across 15 metro areas by end of runway
Vision & Call to Action
- •Vision: Every delivery, optimized. Every mile, accounted for.
- •Near-term: Own last-mile optimization for US e-commerce
- •Long-term: Become the intelligence layer for all physical delivery worldwide
- •Let's talk: founders@greenroute.io
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