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- Early StageStartup in initial stages
DeepVu careers
DeepVu is a deep-learning service for autonomous supply chains for consumer goods manufacturers.
Manufacturers are struggling to optimize margins amidst the exponential growth in data and the ever-growing complexity of external signals they have to track and hedge against, such as labor market fluctuations, commodity prices, tariffs, GDP, crude oil and gas prices, etc.
DeepVu’s deep-learning models leverage customized hybrid algorithms including reinforcement learning along with vast number of external signals to enrich the models.
DeepVu tackles end to end Integrated Business Planning to optimize margins -- this includes demand forecasting for Sales & Operations Planning (stock-out, inventory management and shelf-availability), Procurement Optimization (commodity price forecasting, hedging and BoM optimization) and real-time logistics decisioning (OTIF optimization).
DeepVu has customer engagements with tier-1 Fortune 500 companies in fast moving consumer goods and automative.
Manufacturers are struggling to optimize margins amidst the exponential growth in data and the ever-growing complexity of external signals they have to track and hedge against, such as labor market fluctuations, commodity prices, tariffs, GDP, crude oil and gas prices, etc.
DeepVu’s deep-learning models leverage customized hybrid algorithms including reinforcement learning along with vast number of external signals to enrich the models.
DeepVu tackles end to end Integrated Business Planning to optimize margins -- this includes demand forecasting for Sales & Operations Planning (stock-out, inventory management and shelf-availability), Procurement Optimization (commodity price forecasting, hedging and BoM optimization) and real-time logistics decisioning (OTIF optimization).
DeepVu has customer engagements with tier-1 Fortune 500 companies in fast moving consumer goods and automative.
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Walid Aref
Chief Scientist
Founder &CEO @DeepVu AI/Deep-learning Entrepreneur. Inventor with 21 issued patents. HW+SW. Worked at @sony; @Conexant; @Hornblower City Experiences; @SGI . @Stanford MSEE, PhD dropout MSCS @UOregon
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