Liebherr Nenzing has launched an AI-based app to identify parts and schedule maintenance for its deep foundation equipment and crawler cranes up to 400 t capacity. Components can be located via photo recognition, QR code scan, multilingual text search in over 100 languages, or item number, with results cross-checked against the official Liebherr parts catalogue to avoid mis-orders when nameplates are damaged. The app also uses machine operating hours to propose upcoming service intervals, listing required parts, consumables and fluids in optimised quantities for each maintenance kit.

WT is expanding its digital project controls to give asset owners near real-time visibility of cost, schedule and risk across multi‑billion‑dollar transport and civil infrastructure programmes, building on its quantity surveying and project advisory work. Integrated dashboards consolidate data from planning, procurement and delivery systems, replacing static monthly reports with live variance tracking and forecast out‑turn costs. For geotechnical and civil teams, this means earlier warning of scope creep, ground risk contingencies and interface clashes, tightening change control on complex major works.

Rocscience has launched Support Designer in Slide2, allowing engineers to specify a target factor of safety for slope or excavation models and automatically compute required support parameters such as bolt length, spacing, and capacity. The tool works with limit equilibrium analyses, adjusting support patterns to meet user-defined FoS rather than relying on manual trial‑and‑error iterations. This shift to target‑driven design could tighten geotechnical optimisation workflows, particularly for complex reinforced slopes, retaining structures, and underground excavations.