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DeepVu is an AI supply chain planning company with a U.S. Berkeley/San Ramon background, positioned around “Autonomous Resilient Supply Chain Planning.” It is not a general-purpose chatbot, but an enterprise AI decisioning platform for demand forecasting, inventory, procurement, production, fulfillment, and logistics. Its goal is to improve margins, efficiency, resilience, and sustainability.
Its technical narrative centers on multi-agent AI Decisioning Agents, deep reinforcement learning (DRL), RLHF, the multi-scenario digital twin VuSim, and the supply chain knowledge graph VuGraph. The platform trains agents across both normal and disruption scenarios—such as demand surges, port congestion, COVID-related delays, and geopolitical trade restrictions—then recommends actions to planners and shows the impact on KPIs such as BoM cost, OTIF, inventory, stockouts, energy, labor, and emissions. Notably, the website explicitly describes this as “AI assisted decisioning,” meaning human planners can still choose or override recommendations.
DeepVu covers end-to-end supply chain scenarios: demand planning, S&OP, inventory optimization, automated replenishment, order mapping to distribution centers, procurement PO allocation, production scheduling, capacity and yield optimization, and logistics/freight optimization. VuGraph incorporates external signals such as CPI, PPI, unemployment rates, exchange rates, commodity prices, and global trade data to enhance forecasting. For integration, the website says it can connect to legacy/ERP systems via cloud APIs, explicitly mentioning SAP, Microsoft, Oracle, and Infor. It can also be used through a Dashboard.
Pricing is not public. The website states that SaaS subscriptions are sold à la carte by use case, and offers a Demo, a 15-minute consultation, an ROI Calculator, and case study requests. The VuGraph trial is marked as requiring no credit card. Professional services rates are disclosed at $400–450 per hour, depending on model complexity and use case.
The strengths are its focused scenarios and strong business KPI orientation, making it suitable for high-frequency decision-making in complex supply chains. Its digital twin and external knowledge graph can help address the failure of traditional forecasting under shock events. The drawbacks are implementation complexity and dependence on customer data, processes, ERP integration, and business co-creation. Public case studies and metrics are limited, and SaaS pricing is opaque. On data practices, the website says it does not sell user data, but its terms grant relatively broad rights to use User Submissions, so enterprises should conduct legal and security reviews before procurement.
DeepVu is better suited to manufacturing, CPG, retail distribution, multinational supply chains, and companies with highly complex procurement and production operations. It is less suitable for lightweight SMB teams looking for an out-of-the-box tool. Information on access from China, Chinese-language interface, local payment, and local services has not been disclosed, so its status is unknown. Domestic companies may also evaluate alternatives such as SAP IBP, Oracle, Kinaxis, o9, Blue Yonder, and Anaplan.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on deepvu.co official site.
deepvu.co is an overseas AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach deepvu.co directly.