MapScale for e-commerce checkout

The customer retypes their address once. Then they leave.

Address entry is the last field before payment and the one most likely to return nothing. In Thailand it returns nothing for a reason global address search cannot fix.

What breaks

Thai has no single correct romanisation. The same place is spelled several defensible ways by several careful people, and your customer picked one of the ones your index does not have. To them the checkout is broken; to your logs the search simply returned zero results.

One place, several correct spellings

Jatujak, Chatuchak and Chatujak are one market. Thonglor and Thong Lo are one street. Watthana and Vadhana are one district. None of these is a typo.

Customers type Thai, English, or both in the same field

A single input receives Thai script, romanised Thai and English interchangeably — often inside one address. Two separate indexes give two different sets of zero results.

Postcode-first forms assume a hierarchy Thailand does not use

A form built around postcode → city → street asks Thai customers for fields in an order their address does not have, then rejects what they enter.

What it costs

Analytics already has the drop-off. What it usually does not have is the address step broken out from the payment step.

checkout sessions per month × drop-off at the address step × average order value × contribution margin

Put your own numbers in the calculator

The endpoints you would use

GET/v1/autocomplete

Predictions as the customer types, matched on how the name sounds rather than how it is spelled.

GET/v1/place/{id}

Turn the selected prediction into a structured address you can store and ship to.

GET/v1/geocode

Resolve an address the customer pasted or that arrived from another system.

GET/v1/static/{lonLatZoom}/{sizeFile}

A map image confirming the address in the order confirmation email, where no map library can run.

A request you can run

One session token for the whole interaction — autocomplete is billed per session, not per keystroke.

# One session token for the whole interaction, not one per keystroke —
# autocomplete is billed per session (see the Autocomplete reference).
# "Thonglor", "Thong Lo" and "ทองหล่อ" all reach the same street.
curl -H "X-MapScale-Key: $MAPSCALE_API_KEY" \
  "https://api.mapscale.io/v1/autocomplete?q=thong%20lo&lang=th&session_token=checkout_8412"

# The customer picks one; resolve it to a coordinate and a structured address
# you can store, instead of the free text they typed.
curl -H "X-MapScale-Key: $MAPSCALE_API_KEY" \
  "https://api.mapscale.io/v1/place/place_bangkok_123?lang=th"

What we can actually claim

Phonetic matching is the same index behind the search on our own consumer property site; the homepage demo runs against this endpoint live.

Bring us your data.

A 30-minute review against your own addresses — not a demo dataset. You will see the failure rate before you see a price.

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