DeepVu's model forecasts the probability of a stockout per (store/DC, SKU, week) with a forecast horizon of 2--6 weeks out.
DeepVu's model forecasts demand per major (retailer-id, SKU, month) in 5 markets/countries with a forecast horizon of 1-2 months out.Request Case Study
DeepVu's model forecasts the weekly price of hot-rolled-coil steel in Shanghai market with forecast horizon of 2--12 weeks out with an accuracy of 91%--95% (with MAPE as the metric)Request Case Study
Boost your supply chain efficiency and margin competitiveness by uncovering insights from your wealth of supply chain data augmented with hundreds of external signals that DeepVu tracks such as commodity prices, GDP, weather, gasoline, tariffs etc.
Leverage the power of deep learning and reinforcement learning for sales and operations planning, inventory optimization, stockout forecasting, on-shelf availability, logistics decisions and procurement optimization including commodity hedging. Together we will take your enterprise on the path to AI driven planning and operational excellence.
Drive efficiencies in logistics decisions to optimize OTIF, eliminate waste and minimize carbon footprint to improve your sustainability and environmental impact, ensuring a greener planet for our children.
Sales and operations planning for optimizing production and inventory levels, including forecasting shelf availability and preventing stock-outs per SKU, per warehouse/store per day
Decision models to optimize for multiple KPIs including COGS, time-to-market, sustainability, including commodity hedging strategy models
Decision models to recommend scheduling actions to optimize for multiple KPIs including factory production capacity, energy usage, labor cost, and sustainability
AI assistant for logistics optimization to forecast and optimize OTIF (OnTimeInFull) and total logistics costs
Get insights and actionable decisions in real-time. DeepVu analyzes data streams as they arrive.
Deep Reinforcement Learning is the most advanced, scalable, self-tuning form of AI decision models. Handles complexities and scale that traditional machine-learning cannot.
A versatile solution capable of handling any supply chain data-set and use-case including procurement, demand planning, production planning, and logistics.
No feature-engineering work or rule updates needed. DeepVu will scale as your business grows.