Give the search a better brief.
A part number is useful. So are the details around it: the machine it belongs to, which specification is fixed, what can change and when the item is needed. That context gives research a direction.
We use AI agents to research suppliers and match possible sources to requirements. A focused agent can investigate one question while another follows a different route. The team can then spend its time on the leads that deserve closer attention.
Separate a lead from a checked option.
A product page establishes that something has been listed. It does not, by itself, establish current stock, condition or suitability. A similar part number may be worth investigating, but technical differences still need to be understood.
Our team follows up with the source and, where needed, specialist partners. We ask what can be substantiated, what has changed and what still needs an answer. An uncertain point stays visible until it has been resolved.
Bring the market into the decision.
For a cross-border purchase, the supplier is only one part of the picture. Timing, destination, payment, documentation and the purchasing arrangement have to work together.
This is where sourcing becomes coordination. A machine that meets the specification can still be a poor fit for the deadline. An attractive price needs to be understood alongside the work required to complete the purchase. We agree the relevant checks and responsibilities before a commitment is made.
Use the time saved where it matters.
The value of AI is not the length of the supplier list. It is the repetitive research it takes off the team’s desk, and the additional avenues it makes practical to investigate.
We keep people responsible for technical judgements, supplier conversations and commercial decisions. The buyer should receive a clear account of the available option, the evidence behind it and the next decision—not another research task.
Search broadly. Check closely. Make the next decision clear.
Inside our AI-assisted sourcing approach