Coordable Learning Resources
Learn more about geocoding, address cleaning, and location data.
We built a free tool to benchmark geocoding provider accuracy
Why we built it Most teams pick a geocoding provider once and never look back. Usually Google. It is reliable, well-documented, and familiar. But it is also one of the most expensive options, and...
Read moreWhen a bad geocode changes your flood risk classification
French home insurers don't price flood risk by intuition. They price it by zone, specifically by the PPRI (Plan de Prévention des Risques d'Inondation), a government-issued flood risk map that...
Read moreYour routing engine is only as good as your coordinates
Route optimization gets most of the attention in last-mile logistics. The tooling has become genuinely sophisticated. The input data has not received the same scrutiny. A routing engine optimizes...
Read moreFuel is cheaper in the US, yet failed deliveries cost more
Over the past three posts, we built a bottom-up cost model for failed last-mile deliveries: urban (€15.30), peri-urban (€22.26), rural (€42.14). All three used European benchmarks - specifically...
Read moreThe €17 failed delivery in rural operations: the number no longer holds
We have now modeled failed delivery costs for urban (€15.30) and peri-urban (€22.26). Rural is a different category entirely. The structural constraints are more severe, the mitigation options...
Read moreThe €17 failed delivery in peri-urban operations: the math is worse
In our previous post, we rebuilt the cost of a failed delivery from scratch for dense urban B2C operations in Europe. The central estimate: €15.30 for a redelivery scenario, €9.28 for a PUDO...
Read moreThe €17 failed delivery: everyone cites it, nobody shows the math
Search for "cost of a failed delivery" and you find the same figure everywhere: somewhere between €15 and €20 per failed order. It shows up in industry reports, logistics blogs, carrier decks....
Read moreString Distance Metrics for Address Comparison: Levenshtein, Damerau, Jaro, and Jaro-Winkler
Comparing addresses is not a simple equality check When you compare two address strings to decide if they refer to the same location, an exact match is rarely enough. Real-world addresses come...
Read moreUS Census + Google Maps: How to cut geocoding costs by 90% for US addresses
The setup We wanted to test the effectiveness of a cascading geocoding strategy for US addresses. We took 1,000 real US addresses (a mix of residential and business addresses, of variable quality...
Read moreHow to reduce geocoding costs by 67%
The use case: a logistics company paying way too much for geocoding If you work in logistics, insurance, or routing software, you know the drill: geocoding volumes are massive, and the bills that...
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