Predictive AI SaaS Platform for E-commerce Demand Forecasting

Before Voxil AI

TrendCast Co., a fast-growing direct-to-consumer (DTC) apparel brand with over $20M in annual sales, was managing inventory replenishment manually. By calculating forecasting averages using basic Excel sheets, they frequently faced high stockouts on bestsellers (costing millions in lost potential revenue) and excessive overstock on slower-moving items, which locked up valuable working capital in warehouse space.

The Challenge

The brand needed a predictive demand engine capable of forecasting SKU-level sales 90 days in advance. The system had to ingest historical sales data, promotional campaigns, seasonal patterns, and real-time social media product sentiment, and output automated procurement and restock guidelines to NetSuite ERP.

The Solution

Voxil AI engineered a custom machine learning-powered AI SaaS Forecasting platform. The system connects directly to Shopify to gather real-time sales and NetSuite ERP to monitor stock levels, feeding custom predictive models that compute daily forecast updates.

• SKU-Level Demand Engine: Analyzes historical patterns and multi-channel marketing scripts to forecast daily demand.
• Replenishment Automation: Generates purchase orders (PO) and alerts managers in NetSuite automatically when stock hits safety zones.
• Dashboard Metrics: Real-time supply chain analytics visualize cash-flow requirements and storage costs.

Key Systems Integrated & Replaced

The Results