Analyzes historical sales (CSV upload or manual entry) to calculate reorder points, and sends a WhatsApp alert with a suggested reorder quantity when stock nears the threshold.
SME retailers frequently run out of fast-moving stock or over-order slow-moving stock, hurting cash flow.
Analyzes historical sales (CSV upload or manual entry) to calculate reorder points, and sends a WhatsApp alert with a suggested reorder quantity when stock nears the threshold.
Statistical forecasting computes reorder point/quantity; GPT turns numbers into a plain-language WhatsApp alert.
Fewer stockouts and less capital tied up in excess inventory.
Click below to simulate the deployed product. Every field is customizable at delivery.
| SKU | Product | Stock | Avg/day | Days left | AI recommendation |
|---|---|---|---|---|---|
| SK-001 | Basmati rice 5kg | 18 | 6.2 | 2.9 | Reorder 60 units |
| SK-014 | Sugar 1kg | 42 | 3.1 | 13.5 | Reorder 40 units in 1 week |
| SK-022 | Cooking oil 5L | 7 | 2.4 | 2.9 | Reorder 25 units NOW |
| SK-031 | Tea 500g | 84 | 1.2 | 70 | Stock OK |
These are captured in the confirmation form after purchase. Every product ships with these fields exposed in a settings page.
products_inventory (id, user_id, sku, name, current_stock, reorder_point, avg_daily_sales) sales_history (id, product_id, date, qty_sold) reorder_alerts (id, product_id, suggested_qty, sent_at)
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.