Data intelligence for sourcing

Procurement in heavy industry still runs on fragmented information: quotes buried in inboxes, lead times confirmed by phone, supplier risk assessed on reputation.

This partnership adds a data intelligence layer to the group's commercial engine — structured market, supplier and logistics datasets, refreshed continuously and modelled for industrial buying.

Analytics cover price movements across key commodity and equipment categories, vendor capacity, historical delivery performance and route-level logistics timing.

The same data feeds operational planning: lead-time forecasting on long-lead items, buffer sizing for critical spares, and risk scoring that flags a supplier before it becomes a project delay.

The effect is simple — evidence instead of intuition on the three decisions that drive project cost: what to buy, from whom, and when to commit.