Intelligent resource allocation
Making manufacturing more profitable, sustainable & resilient
by empowering planners & decision-makers to balance
competing business targets with algorithmic intelligence.
Our customers range from global DAX30 corporates to hidden champions in manufacturing
Solution
Our solutions typically generate a ROI from 1.000 to 10.000%
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Input
Expected demand &
production capacity
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Allocation
Our algorithms optimize the flow of all your physical and financial resources simultaneously
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Output
Optimal production & sales plans
that balance competing targets
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Input
Expected demand &
current capacity
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Optimization
Our algorithms identify investments & divestments with the highest possible ROI
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Output
Strategic capacity allocation
across an optimal network & portfolio
Our 6 core principles
Resource allocation is about maximizing impact, not just distribution
We allocate resources constantly: whenever we plan, invest, or distribute. Effective allocation has far more impact than efficient execution – especially when you operate at a large scale.
Optimal resource allocation is tricky but delivers exceptional results
Allocating resources effectively across a global network is extraordinarily complex – and often emotions and the loudest opinion prevail. Our algorithms quantify impact, compare trillions of alternatives systematically and identify what’s best for the Company.
It’s easier than you think – all it takes is the courage to begin
In years of corporate digitization, we have seen many plans start too big. We believe in a minimal-invasive approach that generates measurable impact in weeks.
Perfection isn’t in the data – it’s in the way you handle it
Having worked with corporate data for decades, we know that real-world data is never perfect. We combine AI & rule-based data cleaning to harmonize diverse data sources and generate a consistent basis for our optimization algorithms.
Our algorithms come to your data
Optimizing your resource allocation requires your most sensible data: cost structure, production capacity & launch dates. With today’s technology, we don’t even need to access your data – you can operate our algorithms in your secure environment.
AI doesn’t change the world – planners using AI do
We wouldn’t even try to reinvent the expertise of seasoned planners. To the contrary, we embrace it: Empowering planners with powerful algorithms combines the best of both worlds and leaves humans in control.
Challenges
The next level of data-driven & intelligent planning
We leverage multi-objective optimization to help planners to effectively balance a wide range of competing targets
Sales
Stock
Profit
CO2 emissions
Our refined manufacturing data model allows planners to easily
generate & compare scenarios across a wide range of parameters.
Demand scenarios
Lead Times
Production footprint
We employ intelligent constraint handling to empower planners to successfully utilize every scarce resource in the most profitable way.
Stock targets
CO2 Regulation
Production capacity
Our AI- & ML-based data validation enables planners to merge & use all available information to make the best possible decisions.
Plausibility checks
Outlier detection
Missing value prediction
Containerized deployment allows you to run our optimization in your secure environment – leaving your sensitive data under your control.
Cost structure
profit margins
productions capacity
Approach
Minimally invasive approach
Our unique approach is tailored to generate high impact with minimal disruption while accommodating the security needs of a complex global organization.
Modular Architecture
We keep data requirements to a minimum by focussing on the most relevant scarcities and trade-offs.
Additional data is all it takes to extend the scope once needed.
Gradual shift
We enable a gradual shift of the steering logic towards new business targets.
Competing business targets like sales, stock, profit and emissions can be balanced in a transparent way.
Minimally invasive approach
Our approach delivers maximal impact on business targets with minimal disruption to processes & systems.
We augment existing planning systems with an intelligent optimization layer.
Humans in control
Optimization can be easily restricted to respect strategic guidelines.
Several ways to set boundary conditions, adjust input data & balance targets keep planners in control.
About us
The founding team
Dr. Moritz Högner
Co-Founder
Moritz, CEO at alloqis, has more than a decade of expertise in digitization, analytics, and profit-driven innovation in automotive and manufacturing. With a PhD in math and physics, he managed a portfolio of data projects at Mercedes Benz, co-founding the Digital Accelerator, and consulted on strategy and innovation at McKinsey across Europe.
Marc Faupel
Co-Founder
Marc is an expert in optimization and data-driven decision-making, dedicated to delivering impactful solutions. Formerly a Senior Data Scientist at Mercedes-Benz, he developed algorithmic decision support during the semi-conductor crisis. At alloqis, he leads the development of our advanced optimization and machine learning algorithms.
Dr. Niklas Kattner
Co-Founder
Niklas contributes over 10 years of engineering expertise and analytics experience, backed by a PhD in engineering and data science. Before alloqis, he managed developer teams to enhance operational efficiency and advance large language models at Mercedes-Benz. Now he heads R&D, transforming advanced analytics into practical solutions.
Our Mission
In a world of conflicting interests driven by climate change, volatile geopolitics and internal business challenges we have embarked on a journey to empower manufacturers to have optimal & balanced scenarios at their fingertips when internally allocating their resources.
Our ambition: To make manufacturing more profitable, sustainable & resilient by empowering decision-makers to balance competing business targets with algorithmic intelligence.
References
Insights about us
“alloqis’ co-pilot is capable to increase company profits by optimizing product mix & prices across regions, customer segments, distribution channels & production lines in an integrated manner according to defined guardrails”
Frank Lindenberg
Investor & Advisor / ex-CFO Mercedes-Benz
“Intelligent allocation of resources is one of those surprising use cases that leverage hybrid cloud technology to generate impressive value from data spread across your company”
Dr. Sebastian Ackermann
ex-McKinsey / ex-BMW
“The potential impact on your business targets from algorithmic optimization in planning is almost always higher than expected. Thus, clearly an opportunity not to be missed!”
Gia-Thi Nguyen
Former Head of Op. Excellence at Siemens Digital Industries
Partners & Supporters
Our journey wouldn’t be possible without the invaluable contributions of our partners and supporters. Their dedication and shared vision empower us to achieve more together.