Better Gas projectsBetter Gas · Automation · Project case study
WhatsApp Chatbot General Enquiries Automation
I translated common customer intentions into a structured WATI workflow for cylinder exchange, general enquiries, delivery information and team handoff.
WATIWhatsApp BusinessWorkflow automationTeam routing
ClientBetter Gas
Evidence period2026 WATI workflow editor snapshot
The engagement
The challenge. The thinking. The delivery.
The chatbot workflow organized recurring LPG enquiries into menu branches, guided questions, conditions and team-assignment paths while preserving human escalation.
Workflow screenshots prove the automation design; customer volume, resolution rate and revenue impact require separate operational reporting.
The chatbot workflow organized recurring LPG enquiries into menu branches, guided questions, conditions and team-assignment paths while preserving human escalation.
View detailed delivery scope and next improvements
Implementation scope
- Inventoried common customer intentions and content sources
- Modelled menus, buttons, conditions and validation
- Configured escalation and team-assignment paths
- Tested branches with sample conversations
- Documented activation and monitoring criteria
- Separated workflow design evidence from outcome claims
- Measure branch completion and escalation rates
- Review unanswered-intent logs monthly
- Connect chatbot outcomes to CRM lifecycle stages
Results & evidence
What the available reporting shows.
These values describe the available platform evidence. They are not presented as proof of independent campaign attribution or causality.
Node types visible
2026 captureAssign Team step visible
2026 captureWorkflow screenshots prove the automation design; customer volume, resolution rate and revenue impact require separate operational reporting.
Platform screenshots and presentation imagery are distinct. Only evidence suitable for public display is shown; private administrative captures remain protected.
Open source evidence and reporting limitations
Workflow visible (General Enquiries Bot)
Source: WATI workflow editor
Period: 2026 capture
The screenshot establishes the workflow design, not volume served.
Node types visible (6+)
Source: WATI workflow editor
Period: 2026 capture
Node presence does not establish completion or resolution rate.
Assign Team step visible (Team routing)
Source: WATI workflow editor
Period: 2026 capture
Routing logic requires operational reporting to evaluate effectiveness.
See supporting evidence records
The original administrative screenshots are not displayed publicly without privacy review and approval.
- Wati - WhatsApp Automation(workflow).png
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