Turning powder allocation into a data driven production decision
A consumer goods manufacturer used machine learning, a digital twin, and real-time data to optimize powder distribution across seven production lines.
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Shaping decisions with AI
LTPlabs is a consulting firm that combines Advanced Analytics and AI expertise with a strong business acumen. We’re committed to transforming companies and empower every decision with Analytics.
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A solid track-record of transformed businesses worldwide
Case Studies
Our Impact
Improving bus terminal capacity and passenger experience through simulation
Scenario simulation helped a major metropolitan bus terminal quantify operational capacity, compare bay allocation strategies and assess its ability to accommodate future demand.
Reducing back office workload by up to 30% with AI and intelligent automation
An automotive group analyzed dozens of back office processes across multiple teams to identify where AI, intelligent automation, and platform integration could reduce manual workload and improve operational efficiency. The assessment identified potential to reduce workforce up to 31%, with an estimated impact above 1M€.
From two weeks to hours: optimizing production planning at industrial scale
LTPlabs helped a large industrial manufacturer reduce production planning lead time from up to two weeks to hours by implementing a Mixed Integer Linear Programming optimization solution.
From fragmented data and disconnected processes to a scalable master data management foundation
A food manufacturer centralized master data, digitalized and automatized manually-inserted data, and built a reusable foundation for data governance in six weeks.
Unlocking enterprise GenAI with structured governance and collaborative intelligence
A leading energy sector company partnered with LTPlabs to accelerate enterprise GenAI adoption across two critical workflows: Responsible AI guidance and RFP creation.
Insights
Latest Thinking
How can companies improve master data management?
LTPlabs helps companies address these issues by designing a master data management ecosystem adapted to their processes, information and users.
What role does leadership play in successful AI adoption?
Leadership’s role is to set direction, model practical use, support experimentation, and create the conditions to scale what works.
How can AI help companies make better planning decisions?
AI can help supply chain organisations close the gap between planning and execution.
Why do so many AI projects fail to create business value?
AI projects have a stronger chance of creating value when technology, business priorities, organisational capabilities, and adoption are considered together.
The most common mistakes in GenAI adoption
Why organizations that start by asking "how do we automate this?" often end up frustrated and what to ask instead.
How will AI redefine the role of industrial planners?
The planner of the future isn't gone. They're doing something different.