• Maximize margins, boost resilience, and minimize risks with AI-powered autonomous supply chains

Optimize planning decisions to hit your business KPIs, even in the presence of shocks

Choose between recommended actions from multiple AI decision models trained on both normal and shocked scenarios in our digital twin simulator (VuSim). Our models are enriched by hundreds of external signals from our supply chain graph data platform (VuGraph)

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Stockout Forecasting for Home Goods

DeepVu's model forecasts the probability of a stockout per (store/DC, SKU, week) with a forecast horizon of 2--6 weeks out.

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B2B Demand Forecasting for CPG

DeepVu's model forecasts demand per major (retailer-id, SKU, month) in 5 markets/countries with a forecast horizon of 1-2 months out.

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Comodity Price Forecasting

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)

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DeepVu is the first end to end Autonomous Business Planning (ABP) solution for optimizing supply chain resilience, sustainability, and margins

Smarter Greener Autonomous Supply Chains:

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.

We're committed to building and enabling a sustainable seamlessly efficient future

  • S&OP

    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

  • Procurement

    Decision models to optimize for multiple KPIs including COGS, time-to-market, sustainability, including commodity hedging strategy models

  • Production Planning & Capacity Optimization

    Decision models to recommend scheduling actions to optimize for multiple KPIs including factory production capacity, energy usage, labor cost, and sustainability

  • Logistics

    AI assistant for logistics optimization to forecast and optimize OTIF (OnTimeInFull) and total logistics costs

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Why DeepVu?

Real Time

Get insights and actionable decisions in real-time. DeepVu analyzes data streams as they arrive.

Deep Learning

Deep Reinforcement Learning is the most advanced, scalable, self-tuning form of AI decision models. Handles complexities and scale that traditional machine-learning cannot.

Full Stack

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.

See how DeepVu can maximize your responsiveness, resilience, sustainability, scalability and operating margins

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View one of our case studies

Choose case study
Choose case study Stockout forecasting for home goods per Store/DC B2B demand forecasting for CPG Commodity price forecasting