FC SmartCommerce AI is the AI commerce platform built for fashion retailers — abaya houses, modest-fashion brands, jewellery makers and kids fashion labels. It turns a single garment photo into editorial model shots, a brand-voiced listing, an Instagram drop and a WhatsApp catalog post — all in one flow. No designer. No studio. No spreadsheet.
Who can't afford to be a season behind.
From abaya to pearl jewellery to kids fashion — one platform, one flow.
In the time it takes to fold an abaya.
The Pitch is already playing in the hero above. Here, watch both side-by-side at full size — The Pitch sets the why; The Product Walk shows the flow from a WhatsApp flat-lay to a published lookbook across every channel.
Who can't afford to be a season behind.
From abaya to pearl jewellery to kids fashion — one platform, one flow.
In the time it takes to fold an abaya.
That's the entire input the boutique sends.
Editorial light · brand-locked mood · seconds, not days.
Arabic & English · brand voice · size + colour matrix.
Fashion isn't grocery. Every drop is a new collection, every SKU has size and colour, every customer expects a hero shot, and every season the clock resets. SmartCommerce AI removes the three repetitive layers that turn a fresh collection into a six-week project.
A boutique can't book a photographer, an MUA and a model for every drop. Studio days run AED 4,000–12,000. The same dress comes back in three angles, two lights, one mood — and the next drop is already waiting.
One abaya × five sizes × four colours × bilingual copy × size-guide × care label. Multiply by a 60-piece capsule. Twelve hours of spreadsheet work before a single garment is even live.
Fashion customers don't open the website first — they scroll Instagram, save to favourites, then DM on WhatsApp. Without a same-day Reel, Story and catalog post, the drop quietly dies in the algorithm.
Each engine hands work to the next. A product enters as a WhatsApp message or a supplier feed and exits as a fully-published listing on your website, Instagram, Facebook, WhatsApp Channel and Telegram — with creatives, AI photography, pricing and captions already in place.
The product walks in through any door the team already uses — WhatsApp business chat, the web dashboard, a Telegram bot, or an automated supplier API feed. Images, videos, voice notes, PDFs, size charts — all are accepted.
Computer Vision + OCR + Generative AI read the product. Category, colour, fabric, fit, size, attributes and SEO keywords are extracted automatically. Duplicates are detected and merged before they reach the catalog.
The cost is converted from the supplier currency, margin is applied, shipping is calculated, and a selling price plus a promotional price is generated — using rules the merchant configured once.
Instagram posts, sale banners, story creatives, carousel ads and WhatsApp marketing assets are generated on-brand — with the logo, palette, CTAs and price overlays already in place.
The flagship engine. A flat-lay or supplier catalog shot is transformed into a luxury model shoot — the dress is worn, the watch is on a wrist, the perfume sits on marble. Studio-grade, social-ready, every angle on demand.
A single screen — the merchant sees every product the AI generated, with creatives, photos, prices and SEO ready. Approve, edit or send back with one tap. The only human step in the flow.
The approved product is pushed live everywhere at once — the eCommerce store, Instagram, Facebook, WhatsApp Channel, Telegram — with SEO copy, gallery, variants and price. Scheduled posts go on the calendar.
Once products are live, the system tracks views, clicks, conversions, channel performance and AI engine accuracy — and feeds it back into the pricing & creative engines for the next batch.
No SQL. No spreadsheets. No designer briefs. A chat to send products, a dashboard to approve them, a feed to watch them go live. Designed so a non-technical merchant can run the whole catalog operation from a phone.
Send a flat-lay from the atelier or a supplier image. The platform returns an editorial model wearing it — campaign-grade lighting, brand-locked mood, multiple angles and a social-ready crop. No studio booking. No model casting. No retouch queue. The same standard a Le-Pearl or a Saudi boutique would expect from a four-figure shoot day.
Evening campaign · golden hour
Studio pack-shot · clean white
High-fashion stylebook frame
Social-ready · Instagram square
A modern, multi-layer stack: a Laravel backend with REST APIs and queues, an AI engine layer combining OpenAI, Gemini and computer-vision models, a Cloudinary-backed media pipeline, and direct integrations with WhatsApp, Meta and the eCommerce store.
The architecture is built so that any input can drive any output. A WhatsApp photo can land on Instagram. A supplier feed can land on the website. Each layer is independently scalable.
SmartCommerce is built around the people in a real retail business. Each role has a focused view — none of them need to be technical.
Sends new products by WhatsApp or photo while walking the shop floor. Watches the live catalog from her phone.
Reviews the AI's output, edits prices & descriptions when needed, and triggers the omnichannel publish.
Configures brand kit once — logo, palette, tone, CTAs — and every AI creative comes out on-brand from then on.
The platform was designed first for fashion retailers — abaya houses, modest-fashion labels, boutique designers, jewellery makers. Once the workflow handled fashion's complexity (SKUs, sizes, looks, drops, seasons), every other commerce category fit inside.
The whole platform is built around the actions a non-technical merchant already does every day. The AI does the heavy lifting in the background; the merchant only does the parts a brand owner should do.
The simplest commerce experience ever built. Three actions — and the AI handles every step in between.