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Logistics & Delivery Geocoding Solutions

Convert delivery addresses to precise coordinates. Plan efficient routes, reduce failed deliveries, and export directly to GPS systems. Every minute saved in planning is money saved on the road.

Geocode Your Addresses

The Last Mile Problem Starts with Bad Address Data

Failed deliveries cost money. Drivers circling looking for addresses waste fuel and time. Customer complaints damage your reputation. The root cause? Addresses that can't be found.

50-60%

of delivery costs are last-mile

5-10%

of deliveries fail on first attempt

$17.20

average cost per failed delivery

Geocoding addresses before dispatch catches errors, provides precise coordinates for navigation, and enables intelligent route planning. CSV2GEO processes thousands of addresses in minutes at a fraction of the cost of enterprise solutions.

What CSV2GEO Delivers for Logistics

99%+ Address match rate
10K Addresses in 2 minutes
KML Export for any GPS
$$$ Saved on failed deliveries

Real-World Applications

Daily Delivery Manifest Preparation

Every morning, dispatchers receive orders to be delivered that day. Addresses come from various sources, systems with different formats, and varying quality. Sending drivers out with bad addresses wastes everyone's time.

Scenario: A regional distributor receives 400-600 delivery orders daily from their e-commerce platform, phone orders, and B2B accounts. Addresses are entered by customers, sales reps, and imported from various systems. 3-5% have errors that cause failed deliveries.

With CSV2GEO: Export the day's orders, geocode the entire batch in under a minute, and immediately flag addresses that don't match or have low confidence scores. Fix problems before trucks leave the warehouse. Export verified coordinates to route planning software or directly to driver GPS devices. Reduce failed delivery rate to under 1%.

Route Planning & Optimization

Knowing where stops are located is the foundation of route optimization. Spreadsheet addresses don't show clustering, drive-time relationships, or logical sequencing.

Scenario: A food service company delivers to 180 restaurants and cafeterias across a metro area. Routes were set up years ago and haven't been optimized since. Fuel costs are rising and drivers complain about inefficient routes.

With CSV2GEO: Geocode all customer locations, visualize them on a map, and immediately see inefficiencies: stops that are geographically close but on different routes, drivers crisscrossing each other, customers far from logical route paths. Use the map to redesign territories and sequences. Export to Google Maps for drivers. One route reorganization can save 15-20% on fuel.

New Customer Onboarding & Address Verification

When new customers sign up, their address goes into your system exactly as entered. Typos, apartment numbers in wrong fields, and incomplete addresses create problems on the first delivery.

Scenario: A meal kit delivery company adds 500-800 new subscribers weekly. Customer-entered addresses often have issues: "Apt 4B" typed in the city field, misspelled street names, or addresses that don't exist as entered.

With CSV2GEO: Geocode new customer addresses before the first box ships. Addresses that match with high confidence proceed automatically. Low-confidence matches trigger customer service follow-up to verify before delivery. Standardized, verified addresses flow into your system. First-delivery success rate jumps from 91% to 98%.

Service Area Analysis & Expansion Planning

Where should you expand delivery coverage? Where are potential customers requesting service? Data-driven territory decisions beat gut instinct.

Scenario: A same-day delivery service operates in the urban core. They're considering expanding to suburban areas but need to analyze where demand exists and whether routes would be profitable.

With CSV2GEO: Geocode declined orders from outside the current service area. Map them alongside current successful deliveries. Identify suburban clusters with enough density to support profitable routes. Present expansion proposals to investors with visual evidence of demand. Make the case with data, not assumptions.

Fleet Location Analysis & Territory Balancing

Are delivery territories balanced fairly? Is one driver covering twice the geographic area of another? Maps reveal what spreadsheets hide.

Scenario: A courier company has 12 drivers covering a metropolitan area. Driver turnover is high, and exit interviews reveal that some routes are significantly harder than others despite similar stop counts.

With CSV2GEO: Geocode all stops by assigned driver, visualize territories on a map, and immediately see the problem: Driver 7 has 45 stops spread across 85 square miles while Driver 3 has 48 stops in a tight 12-mile radius. Same stop count, vastly different workloads. Rebalance territories based on geography, not just count. Improve driver satisfaction and retention.

Built for Logistics Operations

🚚

GPS-Ready Export

Download KML files that load directly into Google Maps, Garmin, TomTom, and fleet management systems. No coordinate conversion needed.

Address Verification

Catch typos, incomplete addresses, and non-existent locations before they cause failed deliveries. Confidence scores flag problems.

📈

Batch Processing

Process entire daily manifests in minutes. No per-lookup fees that punish high volume. Upload 50,000 addresses as easily as 500.

🔍

Address Standardization

Normalize address formats: "Street" vs "St", apartment formatting, directionals. Clean data for your systems.

🌐

Rooftop Accuracy

Get coordinates that point to the actual delivery location, not the middle of the street. Critical for apartment complexes and commercial buildings.

🔒

Data Security

Customer addresses are processed and deleted. We don't store delivery data or share it. Your competitive intelligence stays yours.

Ready to Optimize Your Delivery Operations?

Join logistics companies that use CSV2GEO to verify addresses, plan routes, and reduce failed deliveries. Start free, no credit card required.

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