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 · Riyadh · Retail & E-commerce
AI for retail businesses in Riyadh.
We built the conversational AI inside the app of Panda, one of Saudi Arabia’s largest grocery retailers, it understands a request in Saudi dialect, finds the recipe, and fills the basket. For a Riyadh retailer, the same pattern (a shopping assistant that speaks the dialect and knows your catalogue) is the highest-return first build. Fixed price after discovery.
Saudi retail has its own texture: Saudi dialect first, Vision-2030 pressure to digitise, and customers who expect the fluency the national players already deliver. The everyday drag is familiar though, repetitive product and availability questions, orders retyped between systems, and reporting that lags the decisions it should inform. Those are AI systems waiting to be built, not extra staff to hire.
Our Panda work is the proof that this scales in-market: a shopping assistant handling real Saudi dialect and handing off to a person when it should, inside an app serving over ten million users. A Riyadh retailer does not need that scale, it needs the same approach fitted to its catalogue, its channels, and its team, which is exactly the kind of focused build we scope to a fixed price.
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
Does the assistant understand Saudi dialect specifically?
Yes. We build for real Saudi dialect, not just formal Arabic, the way customers actually type and speak. It is the same capability behind the Panda app assistant, which handles dialect requests and completes the task rather than just replying.
We are a mid-size Riyadh retailer, not Panda. Is this overkill?
No. Panda proves the pattern works at national scale; the same approach fits a mid-size retailer without that infrastructure or cost. We scope a first build to one high-value workflow, usually the shopping or support assistant, at a fixed price.
How do you handle our product catalogue and stock?
The assistant is wired to your real catalogue, prices, and availability, so it answers from your data rather than guessing. We integrate with the systems you already run and keep it current as your catalogue changes.
Other industries in Riyadh.
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.
