Staff check in/out via WhatsApp; an AI HR assistant answers policy questions from the company handbook; a monthly attendance summary is auto-generated.
Manual attendance registers cause disputes over late arrivals, absences, and leave balances.
Staff check in/out via WhatsApp; an AI HR assistant answers policy questions from the company handbook; a monthly attendance summary is auto-generated.
GPT answers HR FAQs grounded in the uploaded policy document; simple rule logic flags late/absent status.
Reduced attendance disputes, less manager time spent answering repetitive HR questions.
Click below to simulate the deployed product. Every field is customizable at delivery.
| Employee | Date | Check-in | Check-out | Status |
|---|---|---|---|---|
| Ali Raza | Nov 12 | 9:02 | 18:15 | On time |
| Sana Malik | Nov 12 | 9:47 | 18:00 | Late |
| Kamran H. | Nov 12 | — | — | Absent |
| Fatima Y. | Nov 12 | 8:58 | 18:22 | On time |
These are captured in the confirmation form after purchase. Every product ships with these fields exposed in a settings page.
employees (id, user_id, name, phone, role) attendance_logs (id, employee_id, date, check_in, check_out, status) hr_policies (id, user_id, policy_text)
Full Lovable + Supabase project structure with Edge Function templates for WhatsApp / AI / cron.
Step-by-step Supabase project setup, API key placement, WhatsApp Business linking, first-run test.
customize.json for brand, business name, language, tone. .env.example for all API keys.
Self-host on your Supabase in ~15 min, or opt into DSR-managed VPS at checkout.