Cemex and sensmore’s Rüdersdorf quarry: AI haulage lessons for mine planners
Reviewed by Joe Ashwell

First reported on International Mining – News
30 Second Briefing
Cemex and Berlin-based startup sensmore are digitising operations at the 770-year-old Rüdersdorf limestone quarry in Germany using AI-based loading and haulage optimisation. On-board edge devices and radar sensors on wheel loaders and haul trucks feed real-time data into sensmore’s optimisation engine, which recommends bucket fill levels, truck–loader pairing and haul speeds. Early results show reduced idle times and more consistent crusher feed, signalling practical pathways to retrofit AI-driven dispatch and loading control into existing European quarry fleets without full autonomy.
Technical Brief
- Quarrying has been continuous at Rüdersdorf for over 770 years, implying highly layered legacy infrastructure.
Our Take
Cemex’s work with sensmore at the Rüdersdorf limestone quarry sits alongside Heidelberg Materials’ autonomous quarry roll-out with sensmore and others, signalling that German aggregates producers are emerging as an early cluster for quarry-scale autonomy rather than isolated pilots.
In our database, Cemex also appears in circular logistics coverage via The Pallet Loop’s reusable pallet scheme, so pairing that with digital quarrying at Rüdersdorf suggests the company is trying to push sustainability credentials across both upstream extraction and downstream distribution.
Limestone features in only a handful of keyword-matched pieces in our mining coverage, so automation at a 770‑year‑old German quarry is notable as it shows advanced digital control now being justified even in relatively low-margin industrial minerals, not just in high-value metals.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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