Real work shaped into clear digital systems.

Turn a new online selling idea into a store customers could browse, understand, and use without the client having to assemble the experience piece by piece.

Store structure, product organization, customer-facing pages, purchase flow, essential settings, and launch preparation for two different retail businesses.

The stores were taken from initial setup through live launch and handover, with handover including the first live order rather than stopping at a visual prototype.

The website previews are anonymized crops from the delivered stores. Client names, domains, contact details, customer data, and order information are intentionally excluded or softened.

Create a clear shopping experience for product-heavy beauty businesses while keeping store management practical for the team after handover.

WordPress storefronts with WooCommerce product structure, customer-facing shopping journeys, checkout flow, and the supporting site experience around the store.

The front end is organized around how customers discover and choose products, while WooCommerce keeps products and orders managed from one operational backend.

The Henna Al Madinah storefront is shown using a real project screenshot. Customer data, private configurations, and any sensitive operational information remain excluded.

Create a studio website that communicates WordPress, automation, AI workflows, and connected systems without reading like a generic agency or software template.

A custom editorial-style WordPress experience with clear service architecture, responsive layouts, interactive guidance, project routes, and a consistent dark premium visual system.

This is DUA SYSTEMS' own website rather than client work, included here as a direct example of the studio's company-profile, WordPress, and service-journey capabilities.

The preview is taken from the live DUA SYSTEMS website and is shown openly because it is an in-house project rather than an anonymized client build.

Daily work depended on messages and manual follow-up, making it harder to keep task ownership, deadlines, and completion visibility in one flow.

A WhatsApp-connected task system that routes work to the right people, places tasks on defined calendars, sends daily reminders, and records completion progress.

The workflow surfaces completion status so management can see progress without repeatedly asking each person for an update.

The workflow canvas documents the delivered logic in implementation order. Real phone numbers, employee identities, calendar data, and operational messages are excluded.

Routine customer emails had to be sent repeatedly, while the team was already working from WhatsApp and needed a faster controlled way to trigger the right communication.

A keyword-driven WhatsApp control layer that recognizes defined commands, selects the appropriate email action, and sends the corresponding customer message.

Only recognized keywords route into predefined actions; unmatched input follows a separate path instead of triggering an unintended customer email.

Keywords, customer addresses, templates, message contents, and business-specific routing rules are deliberately omitted from this public reconstruction.

Customer conversations still needed useful coverage during selected periods when a human service agent was not handling the chat directly.

An AI-assisted WhatsApp service flow able to respond in Saudi and Egyptian Arabic, work through customer questions, and continue the interaction toward a completed order.

When order details were ready, the system prepared and sent the business owner a message summarizing the order rather than leaving the conversation isolated inside the AI layer.

The public workflow shows the architecture only. Customer conversations, prompts, phone numbers, product data, order contents, and private business knowledge are not exposed.

Orders arriving through WhatsApp lived outside the website order system, creating a split between the customer conversation and the operational place where orders were managed.

A workflow that captures the required order information from WhatsApp, validates the data, creates the corresponding WooCommerce order, and places it into the normal WordPress order workflow.

WhatsApp remains the conversational entry point while WooCommerce becomes the centralized operational record for ongoing order management and tracking.

The reconstruction excludes customer identities, order values, product records, phone numbers, API details, and any private credentials used by the live system.