Scaling talent sourcing and development at Klöckner Pentaplast

Explore How Draup Boosts Skills, Locations, and Workforce Planning for the $ 2 Billion Manufacturing Giant

~5,700

Employees

$2.2B

Revenue

Plastics Manufacturing

Industry

Luxembourg

Headquarters

About the organization

Klöckner Pentaplast (KP) is a global manufacturer of sustainable and recyclable plastic films and high-barrier protective packaging. KP specializes in innovative packaging solutions across industries such as food, pharmaceuticals, healthcare, and durable goods.

The support from the Draup team has been second to none. Their comprehensive talent intelligence and strategic insights have been instrumental in our hiring and talent pipelining, enabling us to make informed decisions and strengthen our competitive edge.

Svenja Brandenburg

Talent Acquisition Director

The Core Challenges

Niche Talent Sourcing
Securing niche talent in sustainable packaging and protective films.
Optimal Location Strategy
Identifying global locations balancing talent depth, cost, and growth potential.
Peer Talent Benchmarking
Benchmarking peer talent strategies to guide hiring, skills, and planning.

The Solution

Factory Manager
PROFILE
LOCATION ANALYSIS
TALENT MARKET INSIGHTS
CAREER PATHS
DATA INTEGRATION
TECH STACK
The image is for representational purpose only.
01
Talent Mapping
Identified niche skill pools in sustainable packaging and protective films.
02
Location Strategy
Evaluated global locations for talent depth, cost, and availability.
03
Peer Benchmarking
Benchmarked peer strategies to guide talent sourcing and skills focus.
04
Execution Speed
Enabled faster, data-driven workforce planning and decision-making.

Outcome

Advanced Analytics in Niche Locations

Delivered deep talent insights in data-scarce regions, strengthening hiring and location planning.

Enhanced Competitive Skills Edge

Applied rich skills analytics and peer benchmarks to improve talent supply and market positioning.

Insufficient Talent Intelligence

Built a flexible, skills-first framework to meet present goals and future workforce shifts.

Leadership Signal Tracking

Structured tracking of competitor executive movements, covering hires, promotions, and exits across the risk function, delivered early signals on strategic intent, enabling more informed decisions on talent positioning, role design, and succession planning.
6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
900K+​
Account Priorities​
Labor Market Data Contextualized with Business Intelligence for Every Decision

Analyzing 1B+ data points
daily from 100K+ sources

6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
900K+​
Account Priorities​
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ISO
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EAIGG

Ethical AI, Backed by Global Standards

Draup, an AI-first company, upholds global standards like SOC 2, GDPR, and ISO 27001. As an EAIGG member, we audit for bias and build trustworthy AI.

Data Trust &
Methodology
at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company.

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

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