When CNC machines sit idle waiting for bearings or pumps fail without backup seals on hand, production stops and customers leave.
AI-powered demand forecasting analyzes equipment age, run hours, and failure patterns to predict parts needs before stockouts occur. Real-time substitute matching and multi-location visibility eliminate emergency shipping delays and keep production lines running.
Critical parts missing when needed most. You check inventory, part shows zero, customer equipment stays down while you wait for emergency shipping. Every hour of delay costs the customer production capacity.
Part discontinued or backordered, but you don't know what else fits. You call engineering, dig through specs, waste hours finding a compatible alternative that might already be sitting in another warehouse.
Parts exist somewhere in the network but you can't see where. You check your local system, it says backorder. The part is actually sitting 200 miles away but you'll never find it without calling five warehouses.
The platform ingests your installed base data, service history, and inventory levels across all locations. It learns which parts fail at which equipment ages and usage levels. For industrial machinery with 15-20 year lifecycles, this means predicting bearing replacements, seal kits, and hydraulic components before the failure call comes in.
When you search for a part number, the system shows real-time availability across your entire warehouse network plus compatible substitutes ranked by fit and availability. No more calling around or waiting for callbacks. If the exact part is backordered, you see three alternatives with cross-reference data and stock levels in one screen.
Predicts bearing, seal, and hydraulic component demand by analyzing equipment age, run hours, and seasonal production cycles across your industrial machinery installed base.
Optimizes stocking levels for high-value CNC machine parts by location, balancing carrying costs against the risk of production downtime from stockouts.
Snap a photo of a worn compressor seal or damaged motor coupling and get instant part number identification with substitute availability across your warehouse network.
Industrial machinery OEMs support equipment with 15-30 year lifecycles deployed across factories, plants, and remote job sites worldwide. A single CNC machine might have 200+ serviceable parts. Heavy compressors and turbines run continuously with wear parts needing replacement on predictable cycles tied to run hours and operating conditions.
Parts obsolescence hits hard when equipment outlives component supply chains. Original bearings discontinued after 12 years, but machines keep running for 25. You need substitute matching that understands load ratings, shaft dimensions, and seal compatibility—not just part numbers. Multi-site manufacturing customers expect same-day fulfillment from regional warehouses, making multi-location visibility critical.
The platform analyzes equipment age, cumulative run hours, and historical service patterns to predict when wear parts like bearings, seals, and filters will need replacement. For industrial machinery, it identifies failure curves by equipment model and operating environment, then forecasts demand by location and time window. This prevents stockouts for predictable failures while reducing excess inventory on slow-moving parts.
The system automatically surfaces compatible substitutes ranked by dimensional fit, load ratings, and current availability. For a discontinued bearing, it shows alternatives with matching bore diameter, outer diameter, and load capacity—along with real-time stock levels across your warehouse network. This eliminates the manual cross-referencing that typically takes 30-45 minutes per lookup.
When you search for a part, the platform queries inventory levels across all connected warehouse locations in real time. If a hydraulic pump seal shows zero at your primary warehouse but six units sit 150 miles away at a regional depot, you see both instantly. This prevents placing unnecessary orders and enables same-day transfers instead of 3-5 day backorders from the supplier.
Yes. The platform connects to SAP, Oracle, and other ERP systems via API to pull inventory levels, service history, and installed base data. It also integrates with warehouse management systems to provide real-time stock visibility across multiple locations. The AI layer sits on top of your existing systems, so you don't replace infrastructure—you add intelligence to what you already have.
Under 10 seconds. The system matches dimensional specs, load ratings, and material compatibility in real time, then ranks substitutes by availability and fit quality. For industrial equipment parts like bearings, seals, and couplings, it understands engineering tolerances and cross-references automatically—no need to call engineering or dig through catalogs.
SPM systems optimize supply response but miss demand signals outside their inputs. An AI operating layer makes the full picture visible and actionable.
Advanced techniques for accurate parts forecasting.
AI-driven spare parts optimization for field service.
See how Bruviti eliminates stockout delays and finds substitutes in seconds.
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