Languages · en-NG · Pidgin · Yoruba · Hausa · Igbo

Written the way Nigeria searches.

A buyer in Ikeja and a buyer in Kano can want the same power bank and type different words to find it. Akoni writes each listing for the people who actually buy it: Nigerian English first, then Pidgin, Yoruba, Hausa and Igbo where a store’s buyers search that way.

Every variant reviewed by a native speaker before it is first published

Five languages, one listing.

Every listing starts in Nigerian English. Pidgin comes with early access; Yoruba, Hausa and Igbo are planned for H1 2027. Variants are added where a store’s buyers search that way, never by default.

en-NG

Nigerian English

The base for every listing: local product terms, naira prices, delivery by city.

first
pcm

Nigerian Pidgin

Used in everyday conversation across the country, and often closer to how buyers talk about a product.

early access · native review
yo

Yoruba

The south-west, including Lagos, Ibadan and Oyo State.

planned · H1 2027
ha

Hausa

The north, including Kano and Kaduna.

planned · H1 2027
ig

Igbo

The south-east, including Enugu, Onitsha and Aba.

planned · H1 2027

Same product, five listings.

The same power bank, rewritten for the same signal. Switch languages to see what changes and what stays fixed: the facts, the warranty, the delivery promise.

SKU 2291 · power bank · illustrative
Watch› Research› Rewrite› Publish
Before · v41
Title

Power Bank 20000mAh Fast Charging

Keywords

power bank, charger, fast charging

Description

Good quality power bank with fast charging. Buy now.

Delivery

Delivery available.

After · v42
Title

20000mAh Power Bank, 22.5W Fast Charge — 3 full charges, Lagos same-day delivery

Keywords

power bank for power outage, 20000mAh power bank Lagos, 22.5W fast charging power bank, power bank Nigeria

Description

Keep your phone alive through outages. 20000mAh with 22.5W PD fast charge gives most phones three full charges. 12-month warranty.

Delivery

Same-day delivery in Lagos · next-day Abuja · 2–4 days nationwide

why · searches for “power bank for power outage” rose this week in Lagos; two competing listings now lead with delivery time. Logged against v42; measured over the next 24 h.

Illustrative listing. Variants are generated per listing and reviewed before first publish; the store owner can switch any variant off.

More than translation.

A listing that sells in Nigeria answers local questions: will it last through an outage, what does it cost in naira, when will it reach my city.

Search

The buyer’s phrase, not the spec sheet

“power bank for power outage” is a search, not a product category. The listing is written for the phrase.

Price

Naira, stated plainly

Prices, bundles and warranty terms in the form local listings use, so search engines and assistants read them correctly.

Delivery

A promise per city

Same-day, next-day or 2–4 days, kept current as stock and couriers change.

Delivery that matches the city

Lagos

same-day

Abuja

next-day

Nationwide

2–4 days
Languages

Nigerian English · Pidgin · Yoruba · Hausa · Igbo

Example promises for store-01 — each store sets its own.

Reviewed by people who speak it.

A model drafts. A person who speaks the language checks it before a buyer ever sees it.

01

Draft

A variant is drafted from the approved English listing and the store’s own product data.

02

Native review

A native speaker checks meaning, tone and product terms before the variant is first published.

03

Owner’s switch

The store owner can turn any language off, for one listing or for the whole store.

04

Learn

Reviewers’ corrections become training data for the market-tuned models, planned on NVIDIA NeMo.

Why global models are not enough.

General-purpose models learn mostly from other markets’ text. They write fluent global English, and they are weaker on Pidgin, Yoruba, Hausa and Igbo product copy, and on how Nigerian buyers phrase a search.

Akoni plans to close that gap with small open-weight models tuned on Nigerian listing copy and native-reviewed variants, trained and served on NVIDIA GPUs.

The model plan →