WhatsApp Sales Machine
Our productBuilt in 6 weeks- Replies to customers 24/7 in native Latvian, in under 3 seconds
- Auto-qualifies leads — industry, company size, budget — and hands only ready-to-close deals to the team, with a lead score in the CRM
- Runs whole transactions in the chat: inventory lookup → order → payment link (Stripe, Latvian banks), price calculators, calendar bookings with reminders, returns with auto-approval rules
- Plugs into the tools a business already runs — Pipedrive, HubSpot, Slack, Notion, email, POS/ERP — instead of replacing them
- Demo walks through 12 industry scenarios end to end: from web-dev sales and agriculture quick orders to vet bookings, freight quotes and insurance calculations
LLM over WhatsApp Cloud API with RAG on the client's own data — it answers from the business's inventory, calendar and price list, not from vibes.
- ▸RAG over the client's own inventory, price list, calendar and documents — answers are grounded, not generated from memory
- ▸Native Latvian conversation, sub-3-second response time, around the clock
- ▸Lead qualification and scoring written straight into the CRM
- ▸Intent recognition that routes a chat to order, booking, quote or return without a menu tree
- ▸Transactional execution: the model triggers real actions — stock lookups, payment links, bookings, refunds under set rules
- ▸Escalation to a human the moment a deal is ready or the model is out of its depth
- WhatsApp Cloud API
- OpenAI / Gemini models
- RAG + vector search over client data
- Supabase (Postgres) for state and conversation history
- n8n automation workflows
- Stripe and Latvian bank payment links
- CRM connectors — Pipedrive, HubSpot, Slack, Notion, POS/ERP
- ✓The full scroll-driven demo runs inside this OS — open the WhatsApp Bot app and try all 12 scenarios
- ✓Also live on clickscale.agency under AI development


















