Manufacturing leaders using Mavarick to optimise fleet operations, material flow and supplier intelligence
Fleet management systems route vehicles and avoid conflicts. The result, idle fleets and line stoppages

Returnable packaging loss, material shortages and delivery anomalies are invisible until they impact production. By then the damage is done

Missing supplier data leaves cost exposure, CSRD risk, and sourcing decisions unresolved

Carbon pricing, logistics volatility, and supplier inefficiency create financial exposure that sits outside procurement decisions, until it hits the bottom line.

Mavarick is the intelligence layer above your existing systems. It ingests live production data, fleet telemetry and supplier information, and uses that to make real-time decisions that protect output, availability, and cost.
Our technology sits above existing fleet management systems, using live production demand to optimise task sequencing, charging windows, capacity planning, and idle staging, in real time.
How much fleet capacity does production need right now?
Which movements matter most to production next?
When should vehicles charge without constraining output?

AI anomaly detection for returnable packaging, inbound materials, and plant flow, catching deviations before they become line stoppages.
Precision in identifying packaging and flow deviations before they impact production.
Real-time location and status intelligence for every container and component in your flow.
Quantify losses from packaging waste, flow deviations, and logistics inefficiency.

Mavarick benchmarks supplier performance on cost, carbon intensity, and data quality in one view, enabling sourcing decisions that reduce Scope 3 exposure while improving cost competitiveness.
Side-by-side comparison on carbon intensity, cost efficiency, and SBTi/Catena-X readiness.
Side-by-side comparison on carbon intensity, cost efficiency, and SBTi/Catena-X readiness.
AI recommendations to switch suppliers, materials, or logistics routes with quantified impact.

Stay ahead of CSRD, CBAM, and GHG Protocol with multi-framework alignment and seamless ERP, PLM, and Catena-X data exchange.
Automates supplier requests, reminders, validations, and quality scoring — at any scale.
Benchmarks suppliers on emissions, cost efficiency, and readiness against standards like SBTi and Catena-X.
Surfaces cleaner, more cost-effective supplier options with transparent impact modelling.
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Proven in production: €450K+ annual savings | 38% efficiency uplift | Zero unplanned production stoppages

Planner response time cut from 72 hours to under 1 hour | Packaging cost leakage identified before it hits the line | Real-time alerts before stock-outs or line starvation

AI-benchmarked supplier comparisons across cost, carbon intensity, and supply risk, enabling sourcing decisions that reduce exposure and improve competitiveness

Multi-framework CSRD, CBAM, GHG Protocol, and Catena-X outputs generated automatically from live supplier, fleet, and logistics data | 60–80% reduction in manual compliance workload

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Three AI-powered steps that transform
supplier data into an audit-ready foundation.
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Close every data gap. See the full Scope 3 picture.
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Move beyond reporting to real-world impact.
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Compliance made simple. Confidence built in.
“Our collaboration with Mavarick has shown that advanced, AI-driven approaches can identify meaningful opportunities to reduce emissions while improving cost efficiency across our supply chain. It has provided far greater clarity on where to focus, turning complex data into practical guidance for operations and logistics. This work aligns strongly with Volkswagen’s goTOzero ambition by demonstrating how we can drive more resource-efficient manufacturing at scale, and we are already extending these methods across additional sites and value-chain partners to support continued sustainability and competitiveness.”






