Vizen Analytics provides a causal forecasting engine that integrates historical and external market data to enhance inventory management for manufacturers. This technology reduces forecast errors by 10% and guarantees a 5X return on investment by optimizing stock levels and improving product margins.
Funding
$50K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CCM5NAPAFounders
Product
Problem
Many manufacturers struggle with inaccurate demand forecasting due to reliance on historical data alone, leading to inefficient inventory management, increased costs, and potential stockouts or overstocking. Traditional ERP systems often fail to account for external market factors and SKU transitions, resulting in limited visibility and suboptimal supply chain planning.
Solution
Vizen Analytics offers a SaaS-based supply chain forecasting engine, Empowered-AI, that integrates historical sales data with vetted external market intelligence to improve forecast accuracy and optimize inventory levels. By applying causal-AI modeling, the platform identifies the key demand signals and economic trends that drive product SKU sales, enabling a more responsive demand forecast and proactive lead time prediction. This enhanced visibility allows manufacturers to balance safety and cycle stock levels, reduce inventory costs, and improve product margins. Vizen's solution helps transition from Just-in-Case to Just-in-Time fulfillment, improving sustainability through lower emissions and waste.
Target Audience
The primary target audience includes manufacturers, particularly those in the automotive, industrial, and food and beverage sectors, who are seeking to improve supply chain visibility, reduce inventory costs, and enhance demand forecasting accuracy.
Features
- Causal-AI modeling that integrates historical data with external market intelligence
- Real-time market sensing for accurate demand forecasting
- Predictive analytics for vendor lead times to ensure on-time delivery
- Dynamic product allocation to optimize stock levels based on demand
- Integration with existing ERP systems
- SaaS-based platform accessible online