Capital Efficiency
Guesswork is Costing You Millions in Dead Stock
The traditional "Min/Max" inventory reorder model is fundamentally broken. It reacts to the past instead of predicting the future. This leads to two disastrous outcomes: tying up critical capital in slow-moving dead stock, or missing massive revenue opportunities because your top-selling products went out of stock during a peak marketing campaign.
At PCG Infotech, we integrate advanced AI and Machine Learning (ML) models directly into your e-commerce and ERP ecosystem. These algorithms ingest millions of data points—historical sales, upcoming marketing spend, macroeconomic trends, and even localized weather patterns—to predict exactly what you will sell, when you will sell it, and which warehouse needs to hold the stock.
Predictive Intelligence Features
Predictive Demand Forecasting
The AI accurately forecasts SKU-level demand 30, 60, and 90 days out, allowing your procurement team to order exact quantities and drastically reduce warehousing fees.
Automated PO Generation
Integrate the AI with your ERP (NetSuite, SAP). When predictive thresholds are met, the system automatically drafts Purchase Orders and sends them to your suppliers.
Seasonality & External Trends
The algorithms map complex seasonal shifts, upcoming holidays, and external data feeds (like viral social media trends) to adjust baseline inventory predictions dynamically.
Multi-Warehouse Allocation
The AI predicts *where* demand will occur geographically, instructing your logistics team to split inbound freight to regional 3PLs to ensure 2-day delivery capabilities.