Logistics/Supply Chain

Last Mile Delivery Data

Buy and sell last mile delivery data data. Delivery attempts, access codes, safe places, and porch piracy rates by zip code. The data that determines whether your package arrives.

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Overview

What Is Last Mile Delivery Data?

Last mile delivery data encompasses the critical information that determines whether a package reaches its destination successfully. This includes delivery attempts, access codes, safe place instructions, and porch piracy rates by geography. The last mile represents the final stage of product delivery—from the last transit point to the end customer—and is widely recognized as one of the most complex and costly steps in the supply chain, requiring precise planning and logistics to ensure timely and accurate delivery. Last-mile delivery accounts for 41% of total supply chain costs globally and 53% of total e-commerce fulfillment expenses, making data-driven optimization essential for logistics operators and retailers.

Market Data

$92.95 billion

Global Market Size (2022)

Source: MarketsandMarkets

$225.5 billion

Projected Market Value (2030)

Source: MarketsandMarkets

22% on average

Failed First Delivery Rate

Source: MarketsandMarkets

$10.50

Average Cost per Delivery (US Urban)

Source: MarketsandMarkets

25% year-over-year

E-commerce Volume Growth (2023)

Source: MarketsandMarkets

Who Uses This Data

What AI models do with it.do with it.

01

E-commerce Retailers

Optimize fulfillment operations by analyzing delivery attempt patterns, customer no-shows, and safe place preferences to reduce failed deliveries and improve customer satisfaction.

02

Logistics Operators & Fleet Managers

Track delivery efficiency across zip codes, identify high-risk areas for porch piracy, and allocate resources based on access difficulty and failed delivery patterns to improve cost per parcel.

03

Route Optimization Services

Use delivery attempt data and geography-specific access codes to refine multi-stop routing algorithms and reduce fuel costs by 10-15% while minimizing failed attempts.

04

Insurance & Risk Management

Assess porch piracy rates and delivery risk profiles by region to price coverage, identify high-theft neighborhoods, and develop loss-mitigation strategies for package theft.

What Can You Earn?

What it's worth.worth.

Delivery Attempt Records

Varies

Pay per record or monthly subscription based on volume and geographic coverage

Porch Piracy & Theft Data

Varies

Premium tier; data licensing based on zip code granularity and recency

Access Codes & Safe Place Instructions

Varies

Aggregated by geography; buyers pay for clean, verified datasets

Performance Benchmarks

Varies

Regional or industry-specific failed delivery rates and cost comparisons

What Buyers Expect

What makes it valuable.valuable.

01

Geographic Granularity

Data must be precise at zip code level or finer to enable location-based routing and risk analysis. Buyers need to identify high-failure and high-theft zones.

02

Current & Verified Access Information

Access codes, building entry methods, and safe place preferences must be up-to-date and validated. Outdated instructions lead to failed deliveries and customer dissatisfaction.

03

Delivery Attempt History

Records must include timestamp, outcome (success, failed, attempted), and reason for failure. Consistency and completeness directly impact routing optimization and cost reduction.

04

Porch Piracy & Loss Data

Theft and package loss rates by region must be comprehensive and recent. Buyers use this to assess risk, inform insurance pricing, and allocate signature-required or secure delivery resources.

Companies Active Here

Who's buying.buying.

Amazon, Walmart, eBay

E-commerce giants optimize fulfillment networks and last-mile delivery costs using delivery attempt and geography data to reduce the 22% failed first-delivery rate.

FedEx, UPS, DHL

Global logistics providers leverage access codes, safe place data, and delivery performance metrics to improve route efficiency and reduce per-parcel costs.

Regional Logistics Players (Delhivery, Ecom Express, Navata SCS)

Emerging logistics companies in India and South Asia use last-mile data to compete in high-growth e-commerce markets and improve delivery reliability.

Route Optimization & Logistics Software Vendors

Platforms use delivery attempt and access data to refine algorithms and offer multi-stop routing that saves 10-15% on fuel costs.

FAQ

Common questions.questions.

What makes last-mile delivery data valuable?

Last-mile delivery accounts for 41% of total supply chain costs and 53% of e-commerce fulfillment expenses. Data on delivery attempts, failed rates (22% average), access codes, and porch piracy rates by zip code directly enables cost reduction, improved customer satisfaction, and risk management for logistics operators and retailers.

What is the size of the last-mile delivery market?

The global last-mile delivery market was valued at $92.95 billion in 2022 and is projected to reach $225.5 billion by 2030 at a 11.7% CAGR. Market projections also suggest the market could reach approximately $324.48 billion by 2029 at a 12.6% CAGR, driven by e-commerce and same-day delivery demand.

What geographic data is most valuable for buyers?

Zip code-level data on failed delivery rates, porch piracy incidents, and access requirements is most valuable. Buyers use this to identify high-risk and high-failure zones, optimize routing, allocate resources, and price insurance coverage. Urban areas show failure rates and cost variations significantly different from rural regions.

Who are the primary buyers of last-mile delivery data?

E-commerce giants (Amazon, Walmart, eBay), global parcel carriers (FedEx, UPS, DHL), regional logistics operators in India and Southeast Asia, route optimization software vendors, and insurance providers are primary buyers. All use delivery attempt records, access codes, and porch piracy data to reduce costs and improve service reliability.

Sell yourlast mile deliverydata.

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