Supply Chain Consulting — Digital and Mathematical Optimization Throughout the Entire Supply Chain
Executive Summary – Supply Chain Consulting at a Glance
- Strategic Importance: Modern supply chains are complex networks—without digital models, scenarios, and simulation capabilities, decision-making becomes increasingly risky.
- Operational Benefits: Automated data preparation, transparent network mapping, and mathematical optimization enable faster, well-informed decisions in production, logistics, and sales.
- Resilience & Efficiency: Companies reduce costs, improve capacity utilization, increase responsiveness, and gain clarity on their critical bottlenecks.
- Data Foundation: A digital twin creates a single, trusted source of information for planning, control, and optimization.
- Success Factors: Structured data harmonization, precise modeling, rapid scenario analysis, and the combination of an algorithmic approach and operational expertise.
Challenges in Modern Supply Chain Networks
In complex batch, production, and distribution networks, there is often a lack of reliable information on which to base decisions because data is scattered, inconsistent, or incomplete. As networks grow, product variety increases, and market dynamics intensify, the pressure mounts to make production and logistics decisions based on data rather than “best guesses.” Traditional tools and Excel models quickly reach their limits when dealing with millions of variables, constraints, capacities, batch dependencies, and cost drivers.
Without a functional data foundation and scenario planning capabilities, companies lose speed, transparency, and the ability to respond flexibly to market or demand changes—and squander their potential.
Consequences — What Becomes Apparent in Everyday Work Life
- Suboptimal Decisions Regarding Production and Sales Locations
- Rising Production and Logistics Costs
- Lack of transparency regarding capacity, constraints, costs, and time leverage
- Long turnaround times for analyses and the evaluation of alternative scenarios
- Limited flexibility in response to changes in the market and demand
- Delayed or Untapped Opportunities for Optimization
Your Contacts for Supply Chain Consulting
Our Solution — The Digital, Decision-Capable Twin of Your Supply Chain
We transform raw data from ERP, PLM, planning systems, and external sources into a decision-ready digital supply chain twin. This twin realistically maps production, batch, logistics, and distribution networks and combines them with a scalable mathematical optimization approach. Following structured data harmonization, bills of materials, capacities, constraints, costs, and location parameters are consistently modeled.
An algorithm then calculates the optimal production and sales location for each product—including alternatives under various scenarios and constraints (cost, capacity utilization, time, risk, CO₂). Results are visualized in a PowerBI front end, enabling operational teams to make quick, fact-based decisions and immediately implement identified quick wins.
The result: measurable savings, greater stability, and a fully controllable supply chain.
Benefits at a Glance
- Up to 20% potential savings through optimized location and production decisions
- Reduced warehousing and transportation costs
- Higher Utilization & Better Use of Resources
- Transparent, fact-based decisions instead of gut feelings
- Rapid Identification & Implementation of Operational Quick Wins
- Ability to Respond to Changes in the Market and Demand
We analyze supply chain capabilities, define relevant objectives, prioritize use cases, and determine the scope of the modeling.
We document current processes, data sources, and system architectures, and develop a vision for a harmonized data and process landscape.
We clean data, model batch and production logic, integrate systems, and implement the algorithm, including scenario management.
We roll out the model into production, train teams, establish governance, and hand over dashboards and decision-making logic to the organization.
Why Ventum Consulting Is the Right Partner for Supply Chain Consulting
Over 20 years of experience
In-depth expertise in supply chain design, data architectures, and production logic.
A Holistic Perspective
We integrate strategy, processes, data, technology, and organization into a comprehensive solution.
Technology-neutral
We develop solutions that fit into any system landscape—regardless of whether it's ERP, PLM, or APS.
Sustainable scalability
Our models grow with you—whether you're facing an explosion in product variants, new locations, or dynamic markets.
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- Strategic: Supply Chain Optimization, Digital Twins, Scenario Simulations
- Secure: Data harmonization, governance, transparent models
- Proven in Practice: Extensive Industry Experience and In-Depth Expertise
- Measurable: Focus on Costs, Capacity Utilization, Flexibility, and Decision Quality
- Holistic: People, Technology, Data, Governance, and Processes
TISAX and ISO certification apply only to the Munich location
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FAQ – Supply Chain Consulting
Most companies see initial results within a few weeks, as quick wins are often immediately apparent. Larger savings result from better location decisions, optimized capacity utilization, and lower logistics costs. Depending on the initial situation, a significant ROI is usually achieved within a few months.
Typically, the following data is required: customer data, warehouse location data, invoices, items, and—if applicable—purchasing and supplier information, production parameters, batch logic, capacities, costs, distribution data, and demand history. Many companies already have this data—but it is scattered across multiple systems. We harmonize this data so that it can be used to inform decisions and be modeled.
Through structured validation, sensitivity analyses, and scenario testing, each model is made robust against uncertainties. This allows for the simulation of best-case, worst-case, and realistic scenarios. As a result, companies gain greater certainty than they would with manual Excel models.
Our solution is system-neutral and can be integrated into any ERP, MES, or PLM environment via interfaces or ETL processes. Integration is carried out in phases to minimize risk. Existing processes remain operational throughout the process.
Yes—this approach scales from small and medium-sized businesses to large corporations. Companies without dedicated analytics teams, in particular, benefit from standardized data models and ready-to-use dashboards. The solution is modular and grows with your needs.