Intelligent resource allocation

Making manufacturing more profitable, sustainable & resilient
by empowering planners & decision-makers to balance
competing business targets with algorithmic intelligence.

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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%

  • Input

Expected demand &
production capacity

  • Allocation

Our algorithms optimize the flow of all your physical and financial resources simultaneously

  • Output

Optimal production & sales plans
that balance competing targets

  • Input

Expected demand &
current capacity

  • Optimization

Our algorithms identify investments & divestments with the highest possible ROI

  • 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.

Mätch VC :
Siemens :
L-Bank :
Campus Founders :
BWcon :
AIxpress :
CyberValley :
TNOW :
TNOW : Brand Short Description Type Here.
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