Connect inventory, orders and transport data to see shortages earlier, assess the options, and coordinate a response across the network.
Sales sees an order at risk. The warehouse sees available units. Transport sees capacity. Procurement sees incoming supply. When those views remain separate, teams lose time assembling an answer and may buy or expedite stock already available elsewhere.
NOVV links stock, demand, orders, lead times and movement constraints. Teams can assess a transfer or replenishment decision against service commitments, availability and cost, then send the approved action into the relevant workflow.
In July 2026, Hitachi reported that its storage manufacturing site in Norman, Oklahoma, applied AI to global demand forecasting and inventory management, cutting lead time from order to shipment by 77% and inventory by 50%. The World Economic Forum recognized the site as a Global Lighthouse.
This is an external industry example, not a NOVV project or a forecast of results for a NOVV engagement.
Success measures can include shortage frequency, time to resolve allocation exceptions, emergency transport cost and excess stock. Definitions, baselines and measurement periods are agreed with the operating team.
Choose a shortage your teams resolved recently. We trace it through the order, warehouse, transport and procurement records and show where the answer was delayed. That defines the first scope: the sources to connect, the rules to agree and the decision the system needs to support.