Automate ERP Workflows & Optimize Inventory Levels
Vizen’s intelligent replenishment software solution automates your entire manual forecast to procurement process – improving inventory accuracy by more than 20% and reducing Excel driven workloads by up to 90%. Enabling your teams to rapidly review, approve and send stock purchase orders with full peace of mind, knowing the right quantity of products will sell at the right locations. Vizen applies advanced machine learning algorithms paired with custom SKU feature engineering that helps build forecast consistency reducing the effects of human bias on your results. And our causal-ML forecast upgrade provides an extra protective layer, proactively sensitizing your forecast versus current market disruption & volatility factors generated by trending socioeconomic & demographic pressures. Our Empowered-AI® cloud platform authorizes prompt stock visibility and PO execution via full ERP systems integration – thus ensuring best product availability.
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Causal Factors Affect Results
It is vital to apply proactive insight into client order fluctuations that drive your inventory management decisions. Most traditional forecast solutions fail to address current market dynamics shaping behavior.
The Variable Middle Issue
Current demand forecast bench marking indicates there is significant room for improvement at all stages. Especially, as it relates to the bottom 80% of your product line, which is much less predictable than your top performing SKUs.
This may result in more missed sales, higher inventory costs and lower profit margins. Imagine the value gained with better forecasting.
Inventory Performance
Accurate Product Predictions
Vizen connects into your ERP via full API integration, where we apply advanced machine learning to reduce inventory errors affecting your supply chain outcomes, We eliminate the need for manual order management spreadsheets by tracking future demand results enabling visibility into the historical and market patterns affecting your results including price, promotions and supply shortages.
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20+ percent forecast improvement