Projects & use cases

From the research question through Proof of Concept (PoC) and prototyping to an MVP: these projects show how IAP develops methods, tests them on real data and turns them into applications.

SW-MOTECH

Commissioned development · MVP

Forecast demand and support supply-chain decisions

Future product demand needed to inform planning in a supply chain with an automated warehouse.

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Oilprice.com

Commissioned development · decision support

Decision support for energy trading

Market information needed to move beyond data presentation and provide a basis for daily trading decisions.

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DB Cargo

Commissioned development · delivered solution

Condition-based maintenance from operating data

Train operating data was to provide indications of conditions relevant to maintenance. Changes caused by varying loads and operating conditions needed to be distinguished from possible component faults.

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Beckman Coulter

Commissioned prototype · related collaborative research

FlowXAI: explainable support for lymphoma classification

Interpreting flow-cytometry data requires expertise. Rare entities, different measurement conditions and limited training data complicate automated classification.

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Viessmann

Project work · method evaluation

Evaluate forecasting methods for sales planning

Viessmann needed an assessment of sales-forecasting methods for strategic planning. The task was to determine which methods suited that planning problem.

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Allview.com

Collaborative project · Proof of Concept (PoC)

Interpretable rules for stock selection

Company fundamentals were to support systematic stock selection that people could inspect.

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Siemens Healthineers

Project work · implementation

Data processing & CPQ modelling

IAP implemented AI-assisted data processing and configure-price-quote models (CPQ) for Siemens Healthineers. CPQ connects product configuration, pricing and quotation generation.

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Universitätsklinikum & Philipps-Universität Marburg

Hospital prototype · collaborative research

Sample quality and high-dimensional biomedical data

The quality of blood and bone-marrow samples affects interpretation. Dilution and complex cell populations need to be considered in the analysis.

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Philipps-Universität Marburg

Research project · 2024 study

Explainable AI for inflammatory conditions

Different inflammatory conditions can cause similar symptoms. The study examines what additional support can be obtained from blood parameters.

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Exxon Mobil · BASF

Historical engineering work

Industrial plant planning in IAP’s company history

IAP was founded as an engineering firm in 2000. Before its current focus on AI, its services included industrial plant planning.

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The Body Shop

Feasibility assessment · scoping

AI feasibility assessment for retail

Which marketing and merchandise-planning tasks are suitable for targeted use of AI? The Body Shop needed an assessment of potential applications and the prerequisites for implementing them.

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EFM AG

Proof of Concept (PoC) using real data

Automated analysis of property listings and map data

Initial review of a property listing requires information from text, images and other data sources. The aim was to automate recurring preparatory work and combine the findings in an overview for assessment.

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SW-MOTECH

Commissioned development · MVP

Order picking and pallet requirements in warehouse logistics

Orders need to be grouped into suitable picking batches. Estimating pallet requirements also supports dispatch planning. Both tasks must account for the relevant logistical constraints.

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LANCOM Systems

Data analysis · further method development

Web and CRM data for sales analysis

How does use of a company website relate to later project enquiries? The analysis for LANCOM Systems examined browsing behaviour alongside associated project information.

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