Conversational shopping
Customers write one message, in their own dialect, and the AI finds the product, builds the basket, and answers the question. In the app, on WhatsApp, wherever they already are.
AI implementation · Abu Dhabi · Retail & E-commerce
AI for retail businesses in Abu Dhabi.
Abu Dhabi retail is not Dubai retail at a smaller scale. The customer base skews Emirati and repeat, more of the volume sits in accounts and institutional orders than in walk-in traffic, and Gulf Arabic leads rather than follows. The AI worth building first reflects that. Fixed price after a short discovery.
Most retail AI is designed for a high-churn, tourist-heavy, English-first customer who is asking about a product for the first time. That is a poor description of Abu Dhabi. Here a larger share of revenue comes from customers who already know you: families who reorder, corporate and government accounts with approval chains behind them, and institutional buyers whose orders arrive as a list rather than a question. The repetitive work is different too. It is less "do you have this in blue" and more reorders, quotations, account pricing, and delivery coordination.
So we build for the repeat buyer rather than the browser: an assistant that leads in Gulf Arabic and recognises a returning customer and their history, reorders handled without a phone call, quotations and account pricing generated from your real terms instead of retyped, and reporting that tells you which accounts are slipping rather than only what sold. We proved the conversational layer at national scale inside Panda’s app in Saudi Arabia, and the account-heavy version of the same pattern is what fits here.
What we build for Retail & E-commerce here.
Support that doesn’t queue
Order status, returns, store hours, product questions. The AI handles the routine ones in seconds and hands the rest to your team with full context.
Reports that write themselves
Sales, stock, and channel performance pulled from your systems and delivered written, every morning, before anyone asks.
10M+
app users. We built the conversational AI inside the app of Panda, one of Saudi Arabia’s largest grocery retailers. It speaks real Saudi dialect and hands off to a human when it should.
Questions
Most of our orders come from accounts, not walk-ins. Does this still apply?
That is the case this page is written for, and it is usually a better fit than consumer retail. Reorders, account-specific pricing, quotations and approval chains are highly repetitive and rule-based, which is exactly what automates well. The assistant works from your real account terms rather than a generic price list.
Our customers expect Arabic first.
Then the assistant leads in Gulf Arabic rather than treating it as a translation of the English. It handles code-switching where it happens, but it does not default to English and wait to be corrected, which is the tell that a system was built for a different market.
Can it handle corporate and government purchasing?
It can carry the repetitive parts: quotation generation, reorder handling, order status and document preparation from your real data. Approval chains stay with your people, with the assistant preparing what they need to sign off rather than deciding anything. We scope exactly where that line sits before building.
Other industries in Abu Dhabi.
Retail & E-commerce AI in other markets.
See what we’d build for your business first.
The free AI audit maps your operations and shows the three systems we’d build first, in plain language, with a fixed price to start.
