Case Study: AI-Powered Demand Forecasting for a Multi-Brand Wholesale Distributor for Trident FMCG Wholesale
Constant overstocking of slow-moving items tied up capital while top-sellers suffered stockouts due to manual reordering. We deployed an ERP system paired with an AI demand forecasting engine.
Commercial & Architectural Bottlenecks Before Engagement
When Trident FMCG Wholesale first approached KK Next Tech Solutions, their existing systems were struggling to support business scale, causing severe drop-offs in customer experience and conversion efficiency.
Key Roadblocks Identified During Audit
- Constant overstocking of slow-moving SKUs tying up working capital.
- Frequent stockouts on best-sellers due to manual, gut-feel reordering.
- No unified system connecting purchasing, warehousing, and sales data.
- Finance team spending days each month reconciling stock and sales reports.
The Engineering & Growth Strategy
Our engineering team re-architected the stack from the ground up to guarantee high speed, seamless operational workflows, and maximum ROAS efficiency.
Technical Blueprint
Implemented a central ERP system connecting sales, inventory, and purchasing. Deployed an AI demand forecasting model trained on historical sales velocity to automate purchase order creation.
- ERP selection, setup, and zero-downtime data migration
- Custom AI demand forecasting and auto-reorder engine
- Automated purchase order workflow with supplier integration
- Executive analytics dashboard for margin and turnover tracking
Technologies & Architecture Integrated
The Results & Commercial ROI Impact
Post-deployment analytics measured across 90 days of live production traffic.