Business Model Design Lab
Designing and testing winning business models through custom simulators
We design and model business transformation pathways that enable organisations to translate technological innovation into scalable and sustainable impact
Expertise in Advanced Simulation Applications for Strategic and Operational Decision‑Making
Business model scenario simulation
A key area of our expertise is business model design and scenario simulation. Using systems principles, we help organizations conceptualize new business models, simulate their performance under different
market conditions, and evaluate long‑term sustainability and profitability.
Additionally, we support resource reconfiguration analysis, enabling executive teams to elaborate and test strategic and operational options involving asset restructuring, product portfolio shifts, technology integration and capabiliities innovation and adjustment.Market competition simulation analysis
Our experience also covers market competition analysis,where SD models are used to replicate competitive interactions, forecast market
share evolution, and test the impact of strategic moves by different players.
We have done product pricing optimization, allowing companies to balance margin, volume, and competitor reactions. We have implemented simulation-driven
design of product launch strategies, helping clients assess adoptioncurves, promotional timing, supply readiness, and the long‑term profitability
of new offerings.Investment options evaluation
In the financial domain, we have applied simulation frameworks to support investment options evaluation, analyzing capital allocation scenarios, risk profiles, return trajectories, and the implications
of market volatility.Thus, we enable decision‑makers to compare
investment portfolios or project alternatives from a systems perspective. By combining dynamic modeling with data‑driven analysis, we support organizations evaluate strategic and operational options, and make optimal evidence‑based decisions.Business Performance improvement
Within operational environments, we have experience in supporting production performance improvement, leveraging dynamic models toidentify inefficiencies, test capacity changes, and quantify the benefits of
process reengineering.Supply and value chain analysis
For companies with complex logistics or manufacturing footprints, we have conducted supply and value chain analysis and evaluation to explore higher performance efficiencies and optimize flow structures from raw materials input to final customer delivery.
Systems simulation methodologies
Our methodological tools are grounded in the applicationof System Dynamics (SD), Discrete-Event and Agent-baesd Modelling and Simulation methodologies to solve complex business challenges across industries, like agriculture, pharmaceuticals, retail networks, and other.
Our BizModel Design Lab is
taking care of your business success
From business model options evaluation to scenario analyzes and selection of optimal cost-revenue structures and implementation pathways
Analyzing The System
Applying more than 15 years of expertise and practice
Our experts have years of practical knowledge and applied expertise in designing and transforming operational, financial and strategic business systems
Building The Scenario Simulator
Applying sophisticated system simulation technology
We have been using sophisticated simulation techonlogies for building software applications that reconstruct the business system as a scenario simulator
Business Model Simulation
Applying simulators for multiple pathway scenario evaluation
Scenario simulators then are applied for search, evaluation, selection and implementation of optimal system design and transformation pathways
Featured Research and Consulting Projects
Pharmacaeuticals, Agri-food Supply and Value Chains, Sustainability Transitions, Circular Economy
Hybrid Simulation Modelling in Pharmaceutical Policy and Market Strategy
- Evaluating pharmaceutical pricing regulation in the EU
- Using a hybrid SD and ABM simulation to evaluate EU external reference pricing effects on access, affordability, and availability
- Managing drug prices in a complex competitive and regulatory environment: A multi‑method scenario simulator used to evaluate pricing policies
- Competitive Dynamics in Pharmaceutical Markets: System dynamics modelling to analyze market behavior and design new product launch strategies.
- Reimbursement policy optimization for ACE inhibitors in Bulgaria: Evaluating cost control vs. access
- INN prescribing and substitution policy modelling: Hybrid modelling approach for optimal decision-making in pharmaceutical policy
Participation in the EU Horizon 2020 VALUMICS Project (Fair Food Value Chains)
- We have contributed to the VALUMICS Horizon 2020 EU research project, focusing on interorganisational fairness and resilience in European foodvalue chains, including case studies such as:
- French wheat‑to‑bread value chain (nationwide scope)
- Salmon (Icelandic, Norwegian, Scottish) value chain
- North Italy tomato value chain (Region of Emiglio Romagna)
- This work involved leading the SD and ABM simulation modelling tasks to evaluate fair value distribution and resilience policies from farm to fork, to inform analysis and future changes in the EU agricultural policy decision making (within the global boundaries framework).
- The project involved institutions from Ireland, Iceland, UK, Norway, Germany, France, Italy and Czechia
Research for the UK National Centre for Circular Chemical Economy (CircularChem)
- We have contributed to the UK National Centre for Circular Chemical Economy projects, focusing on:
- Policy evaluation for decarbonization of the UK industry
- Circular economy and green energy systems
- Scenario simulation planning and impact evaluation
- Sustainability transitions and green finance
- For the above projects we have designed and implemented scenario simulators using System Dynamics Modelling and Simulation approach.
- These scenario simulation applications were designed with user related capabilities, which allow policy makers to experiment with alternative competing decisions and evaluate different what-if scenarios, including their budgetary and societal effects.
Resource‑Agent Mapping (RAM) Method: Applied Modelling and Simulation for Decision Support
We developed and applied the RAM framework, used to:
- Map resources and agents in complex adaptive systems
- Evaluate intervention scenarios
- Support managerial and policy decision‑making
RAM has been used in applications across:
- Healthcare and pharmaceuticals
- Finance and economics
- Education systems
- Cultural and art systems
- Political compaign systems
Modelling and Simulation Projects in Strategic Management and Data Analytics Science
Implementing change in organizational culture in multinational organizations:
- Simulating cultural change and organizational evolution
Foreseeing the Dynamics of Strategy:
- Foresight modelling and simulation for resource and dynamic capabilities reconfiguration
Developing strategy and operational decision simulators for what-if scenario experimentation
Commonwealth Scientific and Industrial Research Organisation (CSIRO) Sustainability Projects
System dynamics modelling to analyze policy interventions for sustainability transition of the Australian agricultural industry, aiming to:
- Help industry, government, and communities navigate uncertainty and scale sustainability innovations.
Focusing on:
- Low‑carbon pathways
- Resilience and biodiversity
- Inclusive and Indigenous-aligned food systems
- Scaling regenerative andsustainable practices
We are the experts in practical solutions when it comes to designing and transforming operational, financial and strategic business models
We have extensive experience in manufacturing, supply and value chains, retail and FMCG in industries like agriculture, pharmaceuticals, energy, and other, applying ESG principles and UN SDG
Agricultural Systems
Retail Chains
Pharmaceuticals
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