Wazaverie Fashion
AI-powered sales analytics and WhatsApp inventory alerts for a fashion business that could finally see which products were actually selling.
Sales, But No Sight
Products moved, stock piled up, and cash sat tied in the wrong items. The owner could not answer the simplest question: what is actually selling?
No Product Visibility
Best sellers and dead stock were discovered too late, after money was already sunk in inventory.
Stockouts and Overstock
Popular sizes ran out quietly while slow-moving items gathered dust in the same week.
Decisions on Guesswork
Restocking, pricing, and promotions were driven by memory, not data. Every season repeated the same mistakes.
What Was Built
A sales analytics layer on top of the business, with alerts that arrive where the owner actually lives: WhatsApp.
AI Sales Analytics
Real-time dashboards rank products by sales velocity, margin, and trend, so buying decisions follow the numbers.
WhatsApp Inventory Alerts
The system messages the owner the moment a fast mover crosses a reorder point or a size thins out.
Dead Stock Detection
AI flags items below healthy sell-through, prompting markdowns before cash is locked up for months.
Trend Forecasting
Seasonal patterns from sales history inform the next buying cycle, so restocks match demand.
The Impact
Technologies Used
Frontend
React, Next.js, Tailwind CSS
Backend
Node.js, PostgreSQL, AI Analytics Engine
Integrations
WhatsApp Business API, SMS, M-Pesa
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