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Short, plain guides to the terms supply chain and logistics teams meet when they evaluate software. Each starts with a one-sentence definition, then how it works and what to look for.


Supply chain intelligence is the practice of combining data from internal systems, partners and external signals, then analysing it to explain what is happening across the supply chain and recommend what to do next.
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AI in supply chain is the use of machine learning, optimization and AI agents to forecast demand, plan inventory and transport, detect disruptions and recommend or carry out decisions across sourcing, production, warehousing and delivery.
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A logistics control tower is a central system and team that gives live, end-to-end visibility of shipments, carriers and inventory in transit, detects exceptions early and coordinates the response across partners and modes.
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Freight audit and payment is the process of checking carrier invoices against contracted rates, surcharges, accessorial charges and proof of delivery, correcting errors, and approving, paying and recording valid freight bills.
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Demand forecasting in supply chain is the process of predicting future customer demand for each product, location and period, using sales history and other signals, so that production, inventory and distribution can be planned ahead.
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Dispatch planning is the process of assigning orders to vehicles, building loads and scheduling departures, while route optimization finds the lowest-cost sequence of stops and roads that still meets delivery windows and operating constraints.
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An e-way bill is an electronic document generated on India’s GST e-way bill system that records the details of a consignment and its transport, and is required to move goods above a set value.
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Yard management is the control of vehicles and trailers from gate-in to gate-out at a plant, warehouse or distribution centre, while dock scheduling allocates loading and unloading bays to those vehicles by time slot.
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