Last-mile delivery optimization proposal: Free template

Last-mile delivery optimization proposal: Free template

Customize this free last-mile delivery optimization proposal with Cobrief

Open this free last-mile delivery optimization proposal in Cobrief and start editing it instantly using AI. You can adjust the tone, structure, and content based on your client’s logistics network, delivery volume, and geographic coverage. You can also use AI to review your draft — spot gaps, tighten language, and improve clarity before sending.

Once you're done, send, download, or save the proposal in one click — no formatting or setup required.

This template is fully customizable and built for real-world use — ideal for pitching route planning, fleet coordination, and delivery experience improvements to e-commerce brands, couriers, or logistics operations. Whether you’re creating proposals daily or occasionally, this version gives you a structured head start and removes the guesswork.

What is a last-mile delivery optimization proposal?

A last-mile delivery optimization proposal outlines your plan to improve how goods are routed, tracked, and delivered to end customers — typically by reducing costs, increasing speed, and improving service visibility. It may include route optimization algorithms, fleet management tools, dynamic ETAs, delivery window modeling, and performance analytics.

This type of proposal is commonly used by logistics consultants, mobility engineers, or delivery platform vendors helping businesses scale delivery while maintaining profitability and customer satisfaction.

A strong proposal helps you:

  • Quantify inefficiencies in the current delivery workflow.
  • Show how smarter routing and coordination improve KPIs.
  • Outline the tools, models, or integrations needed to optimize delivery.
  • Build confidence with a phased rollout that minimizes disruption.

If you offer logistics automation, mapping tools, or delivery intelligence, this is the right kind of proposal to use.

Why use Cobrief to edit your proposal

Instead of copying a static template, you can use Cobrief to tailor and refine your proposal directly in your browser — with AI built in to help along the way.

  • Edit the proposal directly in your browser: No setup or formatting required — just click and start customizing.
  • Rewrite sections with AI: Highlight any sentence and choose from actions like shorten, expand, simplify, or change tone.
  • Run a one-click AI review: Get instant suggestions to improve clarity, fix vague sections, or tighten your message.
  • Apply AI suggestions instantly: Review and accept individual AI suggestions, or apply all improvements across the proposal in one click.
  • Share or export instantly: Send your proposal through Cobrief or download a clean PDF or DOCX version when you’re done.

Cobrief helps you create a polished, persuasive proposal — without wasting time on formatting or second-guessing your copy.

When to use this proposal

This last-mile delivery optimization proposal works well in scenarios like:

  • When reducing delivery cost per order is a priority for the business.
  • When scaling delivery operations in a new city, region, or product line.
  • When improving customer experience with real-time delivery visibility.
  • When dealing with late deliveries, high fuel usage, or low route density.

Use this proposal whenever you want to show how smarter routing, automation, and delivery tracking can unlock both cost savings and customer loyalty.

What to include in a last-mile delivery optimization proposal

Each section of the proposal is designed to help you explain your offer clearly and professionally. Here's how to use them:

  • Executive summary: Position the project as a way to reduce operational friction, increase delivery reliability, and improve customer satisfaction at scale.
  • Scope of work: Include current process audit, route optimization setup (algorithm or platform), delivery time window modeling, fleet or driver coordination, customer notifications, live tracking integration, and performance monitoring dashboards.
  • Timeline: Break the project into phases — discovery, modeling, testing, rollout, and optimization. Timelines typically range from 3–6 weeks depending on coverage and fleet size.
  • Pricing: Offer flat-fee or phased pricing. Add optional services such as driver training, live tracking UI, or API integration with existing tools.
  • Terms and conditions: Clarify data access needs (e.g., delivery records, fleet details), platform licensing (if relevant), expected downtime (if any), and post-rollout support terms.
  • Next steps: Include a CTA like “Approve to begin route data intake and fleet audit” or “Schedule logistics workshop to map current bottlenecks.”

How to write an effective last-mile delivery optimization proposal

Use these best practices to highlight efficiency, clarity, and value:

  • Make the client the focus: Emphasize how the optimization will reduce cost per drop, improve punctuality, or reduce manual dispatching.
  • Personalize where it matters: Reference their delivery zones, package types, or seasonal volume swings.
  • Show results, not just tech: Share examples like “Reduced delivery costs by 22% across 1,500 weekly stops” or “Improved on-time rate from 78% to 94% in 30 days.”
  • Be clear and confident: Translate technical concepts like dynamic route optimization or batching into tangible improvements.
  • Keep it skimmable: Use clear sections, bold headers, and outcome-first language to help ops or logistics managers scan quickly.
  • End with momentum: Offer a quick, lightweight way to start — like a pilot in one delivery zone or uploading historical route data.

Frequently asked questions (FAQs)

What data do I need from the client to start optimization?

Typical inputs include delivery addresses, delivery time windows, fleet size and availability, vehicle constraints (e.g., capacity), service times, and historical delivery logs.

How do I explain the benefit of route optimization to non-technical stakeholders?

Focus on outcomes — fewer miles driven, more stops per hour, less backtracking, and higher on-time rates.

Can I reuse this proposal for different delivery industries (e.g., food, parcel, grocery)?

Yes — just adjust for delivery frequency, urgency, and package handling. Food and pharmacy may prioritize speed, while retail focuses on cost and density.

Should I include software setup or just strategy?

You can offer both. Include configuration and integration of optimization tools if needed, or scope it separately if the client has an existing platform.

What happens if delivery conditions change after rollout?

Models can be retrained or updated with new constraints — include optional performance tuning or re-optimization as part of a monthly support plan.


This article contains general legal information and does not contain legal advice. Cobrief is not a law firm or a substitute for an attorney or law firm. The law is complex and changes often. For legal advice, please ask a lawyer.