Product descriptions in Bangla and English: an AI-plus-review workflow that stays accurate

The problem: two languages, hundreds of products

"We have four hundred products and half of them have no proper description. The Bangla ones are worse." Many shops in Bangladesh sell to customers who read Bangla, English or both. Writing every description twice takes weeks, so it gets skipped, or someone pastes the English into a translation tool and the Bangla comes out stiff and sometimes wrong. Customers then ask the same questions in messages: what fabric, which size, will the colour fade, is it original.

AI can draft good descriptions in both languages quickly. The trick is to feed it facts rather than let it invent them, and to have a person check everything before it is published.

Start from a product fact sheet

A description is only as good as the facts behind it. Make a spreadsheet with one row per product and columns such as: name, category, material, size or measurements, colour options, care instructions, country of origin if you know it, what is in the box, warranty if any, and two or three selling points in plain words. Leave a cell blank rather than guess. The AI writes only what is in this sheet.

The workflow, step by step

1. Agree a style. Decide length, tone and structure: a short opening line, a few bullet points, care and size notes. Write one example by hand in each language as the model to follow.
2. Build a glossary. List the words that must stay consistent, such as how you say cotton, georgette, machine wash or warranty in Bangla, and which English terms you keep as they are because customers use them.
3. Draft in both languages. The AI writes the English and the Bangla from the fact sheet, each written natively rather than translated word for word. The Bangla should read the way your customers speak, not like a textbook.
4. Review. Someone who knows the products checks every draft for facts, tone and anything that sounds like a claim you cannot support, such as health benefits, "original" or "best quality". Their corrections go back into the glossary and style notes.
5. Publish. Approved text goes to your website, Facebook catalogue or marketplace listings. Use Unicode Bangla, not older non-Unicode fonts, so the text displays correctly on every phone and can be found in search.

Mistakes that cost you later

• Letting AI fill the gaps. If the sheet does not name the fabric, the AI may guess. A wrong fabric claim leads to returns and angry reviews.
• Copying supplier text. Many sellers use the same supplier descriptions, so their pages look identical. Your own facts in your own words help you stand apart.
• Literal translation. Word-for-word Bangla sounds foreign. Native drafting plus a Bangla-speaking reviewer avoids it.
• No owner. When prices or materials change, someone must update the sheet, or old descriptions quietly become wrong.

What you can handle yourself

The fact sheet, the style example and the glossary are yours to make, and a staff member who knows the products is the best reviewer. You can try drafting a handful of products with any general AI assistant using your sheet. Where an expert helps is in turning this into a repeatable pipeline: drafting in batches, tracking which items have been reviewed, and pushing approved text to your website or catalogue. That is part of my AI and workflow automation work.

The first step

Pick your ten best-selling products and fill in the fact sheet for those only. Write one description by hand in each language, then let an AI draft the other nine using that example, and check them. You will quickly learn where your facts are thin. If you would like help setting up the full workflow, contact me.