Addressfinder Strawberry

Automate your address backfill with an AI agent

Eleven thousand records you collected before the widget existed, verified and sorted into clean, corrected and unresolved.

Autocomplete solves it going forward. It does nothing about the eleven thousand records where the unit number sits in the street field, the suburb is spelled three ways, and somebody entered “same as billing” as a literal string.

A companion puts every one of them through verification and returns three piles: matched cleanly, matched with corrections, and unresolved. The third pile is the deliveries that will fail. You connect Addressfinder once and see exactly what it can reach before you allow it.

The backfill nobody scheduled

A companion walks all eleven thousand address records, puts each through verification, and sorts the results into matched cleanly, matched with corrections, and could not be resolved.

Corrections are proposed rather than applied. An address that verification tidies by moving a unit number can be right in the postal dataset and wrong for the customer, so somebody looks at the odd ones.

  • Records grouped by clean match, corrected match and unresolved rather than given a single score.
  • Corrections shown next to the original, so a human can spot the ones that look wrong.
  • Unresolved records reported honestly instead of being filled with a plausible guess.

Which form is producing the bad ones?

Failed addresses cluster.

One checkout flow with a single free-text field, one partner’s CSV import, one internal team entering orders by phone.

A companion groups the failures by where they came from and then opens the offending form itself, which is the step that turns a data-quality report into a change somebody ships.

What does verification not tell you?

Whether anyone lives there.

An address can be structurally perfect, present in the postal dataset, and belong to a person who moved two years ago.

Coverage is also per country and depends on the official dataset behind it, so answer quality varies across an international list. Worth checking your own markets.

Where this sits in a wider clean-up

Addresses are usually the second-worst field in a CRM.

A companion runs the address pass alongside the rest of the hygiene work rather than as a separate project.

The broader pattern is clean a messy CRM with AI, and scheduling it monthly puts it with your other operations routines.

Experience Strawberry for free

Download

Trusted by fast-growing companies worldwide

Frequently asked questions

Yes. Connect the account once and a companion verifies and standardises addresses against the postal data held for that country. You see exactly what it can reach before you allow it.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents

Experience Strawberry for free

Download

Trusted by fast-growing companies worldwide