The WhatsApp-native AI operations intelligence engine purpose-built for Bangladesh Ready-Made Garment (RMG) factories. Silently listens to floor groups, auto-classifies Bengali & Banglish voice notes, fires instant breakdown alerts to GMs, and builds your factory SOP database.
Click any factory floor scenario below to see how FaktoriBOT ingests Bengali/Banglish messages in real time, classifies with Azure GPT-4o, and dispatches 1-on-1 emergency alerts.
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How FaktoriBOT eliminates manual WhatsApp fatigue without requiring factory staff to change their habits.
Six battle-tested operational capabilities designed specifically for apparel manufacturing plants.
Never spams group chats. FaktoriBOT ingests thousands of messages in total silence, filtering noise and greetings with lightweight heuristics before batch classification.
Factory floor line chiefs rarely type text. FaktoriBOT downloads and transcribes Bengali and Banglish audio memos via AssemblyAI within 5 seconds.
Urgent machine failures and quality rejections are instantly routed as private 1-on-1 WhatsApp messages to the maintenance in-charge and GM with 99.2% delivery reliability.
Automatically extracts machine adjustments (folder screws, stitch density, presser foot heights) and indexes them into 1536-dimensional Supabase pgvector storage.
Factory owners receive an automated, high-level WhatsApp briefing every morning summarizing yesterday's top downtime causes, defect counts, and line efficiencies.
Operators can send 1-to-1 questions in Bengali to get instant, step-by-step guidance strictly retrieved from the factory's verified SOP database.
Predictable monthly plans designed for BGMEA & BKMEA member garment facilities in Gazipur, Ashulia, Savar, and Narayanganj.
For small plants or single pilot departments testing AI monitoring.
For mid-size garment factories (500–1,500 workers) requiring full operational coverage.
For multi-unit garment conglomerates and export groups.
See FaktoriBOT connect to a sample WhatsApp group and classify real factory messages in 100 milliseconds.