Your shoppers don't type in one language. Your store should still understand.

The reality of how people type

Real shopper messages look like 'bhai ye wala blue mein hai kya?' and 'shaadi ke liye kurta chahiye, budget 3000'. Code-switching between Hindi and English mid-sentence — Hinglish — is how a huge share of Indian internet users naturally write. The same pattern repeats worldwide: Spanglish, Taglish, Franglais.

Most store search bars and chat scripts fail these messages completely. The shopper concludes the store didn't understand them — and shops where they're understood.

Why translation alone isn't the fix

Naively translating the storefront doesn't solve the input problem: the catalog is in English, the shopper writes in mixed language, and keyword search finds nothing in between.

The working pattern separates two jobs. Understand the message in whatever language it arrives, translate the intent — not the words — into catalog-searchable terms, then reply in the shopper's own register. The shopper experiences a store that speaks their language; the catalog search stays precise underneath.

What this looks like live

KwikKartBot detects the shopper's language automatically across 30+ languages, Hinglish included. A query like 'kurta under ₹3,000 for shaadi' is understood as occasion + category + budget, searched against the English catalog accurately, and answered back in the same natural mix the shopper used.

There's nothing to configure — no language packs, no translated duplicate catalogs, no per-locale flows.

The conversion case

Being understood is the first trust signal a store sends. For stores selling across India — or to any multilingual market — meeting shoppers in their own words removes a friction competitors haven't even noticed they have.