OUR WORK

Numbers.Not promises.

We do not publish marketing testimonials. The work speaks. Here are few engagements -real companies, real numbers, real outcomes.

Case 01

€6M → €11.4M

Greencarrier Freight Services. 13 months.

Revenue

€6M → €11.4M

Margin

+8pp

Headcount

Flat

The Situation

Greencarrier, a Gothenburg-based freight and logistics operator, was doing €6M in revenue with 80+ staff. Growth had stalled. Dispatching, invoicing, and route planning all lived in spreadsheets. The team was working harder but the business was not scaling.

The Diagnosis

23% of operational capacity lost to manual coordination. No real-time visibility on fleet utilisation. Pricing based on gut feel, not data. The team had normalised inefficiency as standard operating procedure.

The Work

Built custom dispatch automation and integrated real-time fleet tracking. Deployed AI-driven dynamic pricing based on route, load, and market conditions. Rebuilt the entire invoicing pipeline to eliminate manual entry.

The Result

Revenue grew from €6M to €11.4M in 13 months. Operational headcount stayed flat. Margin improved 8 percentage points. The dispatch team went from managing chaos to managing exceptions.

Case 02

34%

Schmalz GmbH. cost reduction.

Costs

−34%

Defects

−60%

Procurement savings

Covered engagement fee

The Situation

Schmalz, a German vacuum technology manufacturer headquartered in Glatten, was running €12M in revenue across 3 production facilities in Central Europe. Margins were under pressure from rising input costs. Each facility ran different systems with no unified view of production or procurement.

The Diagnosis

Duplication across all 3 sites. Procurement fragmented -the same materials purchased at different prices by different teams. No unified production data. Quality issues traced to manual handoffs between shifts.

The Work

Unified ERP and production monitoring across all 3 facilities. Automated quality checkpoints at every handoff stage. Centralised procurement with AI-assisted vendor selection and negotiation support.

The Result

34% reduction in operational costs within 10 months. Defect rate dropped 60%. Procurement savings alone covered the engagement fee. All 3 facilities now operate as one integrated unit.

Case 03

€0 → €8.2M

Magazino GmbH. 18 months.

Revenue

€0 → €8.2M

Team

3 → 22

Capital

Raised for next phase

The Situation

Magazino, a Munich-based warehouse robotics company, had spun out of TU Munich with breakthrough perception technology. The tech existed but no commercial operation. No sales team, no processes, no systems. Three founders with a prototype and a patent.

The Diagnosis

Pure greenfield. Needed everything: go-to-market strategy, sales infrastructure, operational backbone, and financial controls. The founders were brilliant robotics engineers but had never built a commercial business.

The Work

Built the entire operational and commercial layer. CRM and pipeline automation, financial reporting, team hiring framework, and investor-ready data rooms. Structured the first capital raise and designed the sales motion from scratch.

The Result

€0 to €8.2M revenue in 18 months. Team scaled from 3 to 22. Capital raised to fund the next growth phase. The founders now run a real company, not a research project.

In Their Words

The people behind the numbers.

Greencarrier Freight Services

We knew we had inefficiencies. What we did not know was that fixing them would nearly double our revenue. Optilant did not just consult -they rebuilt how we operate.

Erik Lindqvist

Managing Director

€6M → €11.4M

Schmalz GmbH

They found €2M in waste in the first three weeks. Not in a report -in a roadmap we started executing the same month. The engagement paid for itself before it was halfway done.

Dr. Thomas Wehrle

CEO

34% cost reduction

Magazino GmbH

We went from a founding team of three to a fully operational business doing €8.2M. Optilant built the systems, hired the team, and structured the raise. Then they left us running.

Frederik Brantner

Co-Founder & CEO

€0 → €8.2M in 18 months

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