NAV stores inventory truth in item ledger entries, value entries, and posted documents, not just in the number shown on an item card. This chapter shows how stock quantities change when people receive, ship, adjust, transfer, consume, or output items.

See how Navision became Dynamics NAV and how NAV replenishment later moved into Dynamics 365 Business Central. The focus is on version differences that affect pages, planning worksheets, extensions, cloud updates, and modern support paths.

Set up item cards with descriptions, base units of measure, item categories, costing choices, replenishment system, vendors, and purchasing units. Clean item data becomes the foundation that every worksheet and suggestion depends on.

Model the real places where stock lives by using locations, bins, variants, and stockkeeping units. You will see when item-level settings are enough and when each site or variant needs its own planning rules.

Set up vendors, vendor item numbers, order addresses, purchase prices, lead times, minimum quantities, and order multiples. Good vendor data helps NAV suggest orders that match how suppliers actually sell and deliver.

Connect sales orders, blanket sales orders, service demand, production demand, assembly demand, and forecasts to the planning picture. This chapter shows which demand is firm, which is expected, and how each one affects availability.

Work through NAV’s main policies: fixed reorder quantity, maximum quantity, lot-for-lot, order, and manual planning. You will match each policy to real inventory patterns such as fast movers, expensive parts, made-to-order items, and seasonal goods.

Set reorder points, safety stock, safety lead time, reorder quantities, maximum inventory, and lead time calculations. You will practice balancing service level, supplier reliability, storage limits, and cash pressure.

Use order modifiers such as minimum order quantity, maximum order quantity, order multiple, lot accumulation period, rescheduling period, dampener period, and overflow level. These settings keep planning suggestions realistic instead of mathematically perfect but unusable.

Use company calendars, location calendars, vendor calendars, shipping time, inbound warehouse handling time, and outbound handling time. NAV’s dates only make sense when the system knows which days people can buy, receive, move, and ship.

Use reservations, item tracking, lot numbers, serial numbers, expiration dates, and item availability by event. You will see why two items with the same quantity on hand can have very different real availability.

Use the requisition worksheet to calculate purchase suggestions, review action messages, change quantities or dates, and carry out messages into purchase orders. This is the core daily tool for many NAV purchasing teams.

Use the planning worksheet for MPS and MRP, including regenerative planning, net change planning, action messages, and multi-level demand. This chapter prepares you for environments where production, components, transfers, and purchases interact.

Run purchase replenishment from demand review through purchase order creation, approval, receipt, and invoice matching. You will practice the decisions a buyer makes before trusting NAV’s suggestions.

Use transfer orders, transfer routes, in-transit locations, shipping times, and location-specific SKUs. This chapter covers replenishment between warehouses, stores, branches, and distribution centers.

Plan components for production orders and assembly orders, including consumption, output, flushing methods, and shortages. You will see how finished goods demand creates lower-level replenishment needs.

Use drop shipments and special orders when goods should go directly from supplier to customer or be purchased for one specific sale. These workflows reduce handling but require clean links between sales and purchase documents.

Create and maintain demand forecasts, then compare forecast demand with actual sales orders. You will work with seasonality, promotions, new items, and the danger of letting old forecasts create bad supply.

Connect replenishment to receiving, put-away, picks, bin movements, and warehouse receipts. Planning works better when the warehouse process quickly confirms what actually arrived and where it went.

Use physical inventory journals, item journals, cycle counts, and adjustment review to correct stock records. This chapter shows how bad counts create bad orders and how to fix data without hiding the root cause.

Follow one item from a sales need through planning, purchase suggestion, purchase order, receipt, put-away, shipment, and follow-up review. This end-to-end workflow ties together settings, documents, ledgers, warehouse steps, and human approvals.

Read cancel, reschedule, change quantity, and new order messages without treating them as commands. You will diagnose common causes such as wrong lead times, bad reservations, duplicate demand, missing SKUs, and calendar mistakes.

Use recurring tasks, planning runs, job queues, approval workflows, and exception lists to support routine replenishment. The goal is a repeatable rhythm where buyers review risk instead of rebuilding the plan from scratch every day.

Use availability reports, inventory valuation, turnover, days of supply, stockout reports, backorder lists, and aged inventory views. You will turn NAV data into decisions about what to buy, what to stop buying, and what needs cleanup.

Move replenishment work from classic NAV habits into Business Central’s web client, role centers, extensions, background jobs, and cloud update model. This chapter helps NAV users prepare for modern support, upgrade, and migration realities.

Connect replenishment to barcode scanning, EDI, supplier portals, APIs, Dataverse, and Power Automate flows. You will see how integrations reduce manual entry while creating new needs for validation, error handling, and ownership.

Use Power BI, Excel, OData feeds, and Business Central analytics to study service levels, supplier performance, forecast accuracy, and excess stock. This chapter focuses on making replenishment decisions visible to buyers, warehouse teams, and managers.

Use AI-assisted inventory forecasts and Copilot-style analysis carefully, with human checks on seasonality, promotions, unusual demand, and bad master data. The chapter shows where AI can help and where it can quietly amplify planning mistakes.

Set permissions, approval limits, change controls, audit trails, and segregation of duties for replenishment work. Buyers, planners, warehouse staff, and finance users need enough access to work without weakening inventory and purchasing controls.

Plan a replenishment setup or cleanup project by profiling items, choosing pilot groups, testing planning parameters, validating results, training users, and documenting decisions. This chapter gives you a practical path for improving a messy NAV environment.

Map the roles around NAV and Business Central replenishment, including buyer, inventory planner, warehouse lead, functional consultant, business analyst, and support specialist. You will identify proof-of-skill artifacts, useful Microsoft certifications, community resources, and habits for staying current.