List the needed parts
Start with OEM codes and SKUs in your request. Add manufacturer, included parts, condition, and lead time.
For service centers, repair teams, and equipment owners
When equipment is waiting for a part, ten open catalogs are no help. Gather offers with identifiers, configurations, and lead times so a specialist can check compatibility and select a supplier.
Catalogs mix original parts, replacements, and different kits. A manager can see the price but must reopen cards to check the code, stock, and package contents.
Start with a small sample. Then control the rules, frequency, and result.
Start with OEM codes and SKUs in your request. Add manufacturer, included parts, condition, and lead time.
On a trial selection, check how codes and variants are stored. Add relationships between originals and replacements only if you have a verified reference list.
Schedule updates and export to the repair request. A specialist must confirm compatibility with the model, revision, and serial number.
Your team gets prepared data and more time to make decisions.
Preserve OEM codes and SKUs without losing characters. A name helps orientation; an identifier drives the selection.
Keep availability, lead time, condition, and configuration together. Separate an in-stock part from an item ordered on demand.
Give the specialist linked offers. They can check compatibility and approvals while purchasing continues from the collected data.
Choose fields and processing rules for your task. Each record can retain its source link and check date.
Open the guideIt collects published codes and specifications. A technical specialist must confirm compatibility, approvals, and substitutions against equipment documentation.
Use text fields for SKUs and OEM codes, then verify them in trial results and exports. A numeric field may alter the identifier.
Keep a missing value as unknown, not zero stock. Send such offers to a manager for clarification.
Explore an example, then configure your workflow.
Why a name cannot replace a part code, and how to separate variants and kits.
Choose a string type for SKUs and check that transformations preserve identifiers.
Configure a scenario that retains code, price, availability, and a link for review.
Test one source, review the result, and choose how to run it. Expand the process with your team when it works.