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An intelligent WhatsApp conversational assistant and automation flow builder engineered for businesses and e-commerce stores to handle customer support, qualify leads, and automate order journeys 24/7.
In the MENA region, over 70% of e-commerce customer interactions happen on WhatsApp. However, merchants lose up to 40% of prospective buyers simply due to delayed responses during evening peak hours, missed inquiries, and manual order status lookups.
Existing bot solutions are either clunky rule-based trees that frustrate customers or complex enterprise platforms that cost thousands of dollars to configure.
ZBot combines flexible conversational branching with natural language AI models. It understands customer intent in Arabic and English, responds to product inquiries, tracks shipment statuses, and routes hot leads to human agents seamlessly.
Engineered with a visual flow builder allowing non-technical store owners to build interactive conversational funnels in minutes.
Drag-and-drop conversational branching for welcome sequences, FAQs, product recommendations, and order confirmation.
When users type unstructured questions, LLM models understand colloquial dialect and deliver accurate product details.
Integrates directly with store databases to look up live order tracking numbers and inventory availability instantly.
Mohammed created ZBot to bridge conversational AI with e-commerce operations. Combining his background as a Shopify Expert and AI Specialist, Mohammed designed the conversational state machine, API connectors, and user experience flows.
Connect with Mohammed regarding early testing, integration capabilities, or venture discussions.
Project description...