Experience
Experience builds sound judgment.
Since 1997, we have supported technology companies with highly configurable products – from portfolio and modularization through CPQ to end-to-end product and system architecture.
The number of projects alone is not what matters. What matters is recognizing recurring patterns early, taking relevant differences seriously and deriving a robust solution from both.
What experience delivers
Recognize earlier. Decide more clearly. Implement with greater confidence.
For us, experience is not about looking back. It shortens the path to the decisive question, protects against premature system decisions and reveals the handovers at which an initiative must truly prove robust.
Recognize patterns
We distinguish known problem classes from the specific characteristics of the business model, product and value-creation process at hand.
Clarify boundaries
Standard and special case, market variety and internal complexity, and business and technical accountability are clearly distinguished.
Safeguard impact
Target models are tested early against real products, data and processes, and detailed through responsibilities, system roles and handover objects.
Examples from our project experience
Challenge. Our contribution. Impact.
The following 18 anonymized examples represent more than 450 projects. They illustrate typical challenges and impacts, but deliberately neither cover our project experience in full nor correspond to individual reference companies.
Agricultural machinery Three product families, one platform: Consolidating regional variety and making complexity costs manageable
Over the years, regional development decisions had caused three core product families to diverge. Customer-specific solutions increased market proximity, but also drove up parts variety, change effort and coordination. Portfolio decisions lacked a clear distinction: Which variety generates revenue – and which merely creates complexity costs?
Created transparency across the variant landscape of all families, assessed the economics of the main complexity drivers and developed a shared module and platform logic for three core families. Reuse targets, degrees of freedom and decision rules were defined so that market requirements and internal economics could be assessed together.
Separate regional logics were replaced by a shared basis for architecture and decision-making. New market variants can be configured from defined modules instead of being engineered from scratch. Portfolio, platform and investment decisions now follow a transparent economic logic.
Drive and automation technology From component manufacturer to system supplier: Scaling the systems business without turning engineering into a bottleneck
The move from components to systems changed the business model faster than the sales and fulfillment processes. Consulting, sizing and quotation effort increased significantly; even recurring requests consumed scarce engineering capacity at an early stage. The company’s technical expertise itself was at risk of becoming the constraint on growth.
Developed a business target model and digitalization strategy for the systems business, established Guided Selling and technical sizing, implemented CPQ and designed the handovers into order fulfillment. Product logic, sales guidance and result objects were conceived as one coherent process.
Sales can offer system solutions through a guided process with technical validity and commercial consistency. Recurring sizing can be managed without early engineering involvement; specialist capacity remains available for genuinely differentiating customer cases. The systems business becomes scalable without increasing the organization proportionally.
Large geared motors Configure instead of engineering from scratch: Establishing CTO, defining ETO selectively and shortening lead times
Standardizable configurations and genuine engineering orders largely followed the same processes. Standard cases burdened engineering, ETO demand often became visible only late, and data and responsibilities across CPQ, PLM and SAP had not been clarified end to end. Lead time, capacity planning and project risk were therefore unnecessarily difficult to manage.
Defined process classes and fulfillment models, segmented CTO and ETO content, and digitized the CTO scope consistently end to end. Handover objects, data ownership and system roles across CPQ, PLM and SAP were established as binding; genuine engineering degrees of freedom were deliberately retained.
Standardizable orders move through the process chain without unnecessary engineering loops. ETO demand is identified early and planned deliberately. This shortens lead times in the CTO business while providing greater transparency regarding capacity, schedules and risks for genuine engineering orders.
Industrial electronics and automation components Realigning 40 percent of revenue: Increasing market breadth without allowing internal variety to grow with it
A business unit representing around 40 percent of revenue was expected to open new market segments through additional customer-specific variants. At the same time, variety in parts, inventory and processes was already creating substantial costs. Early product differentiation and forecast-driven production turned the growth objective into a strategic conflict.
Realigned the product-market strategy of the revenue-generating core families and combined market differentiation with internal standardization. The families were structured on a shared platform, Late Configuration was embedded, the point of differentiation was postponed and the transition from push to pull was prepared.
Additional market variants become possible without increasing parts, inventory and process variety to the same extent. Later differentiation improves responsiveness and delivery flexibility, reduces forecast-driven inventory and makes the economic impact of variant decisions visible to management.
International machinery engineering After a failed CPQ attempt: Rebuilding trust and leading the restart through go-live
The first CPQ attempt had been abandoned without a robust business target model and with unclear requirements. The system question, use cases and expected result objects had been conflated; confidence, investment certainty and internal acceptance had suffered accordingly. A second attempt could not be launched again as a purely software-driven project.
Analyzed the causes of failure, clarified scope and process classes, described result objects and the data model, and consolidated the requirements. The system decision was restructured on a vendor-neutral basis; the second attempt was then supported from selection and implementation through go-live and SAP integration.
Management regained the ability to invest and decide with confidence. The restart proceeded with manageable scope, clearly defined result objects and a significantly lower risk of misinvestment. The abandoned initiative became a productive, integrated CPQ solution with a robust business foundation.
Special-purpose vehicle manufacturer One common language for sales, engineering and production: Connecting product knowledge across CPQ, CAD and ERP
Sales configuration, CAD parameterization, costing and order fulfillment used their own characteristics, rules and data versions. The same product decision was described and maintained repeatedly; changes created coordination effort and inconsistent results. The process chain was technically integrated, but not aligned end to end from a business perspective.
Modeled a shared characteristic space as the central configuration knowledge base, defined data ownership for each object, and connected CPQ, CAD parameterization and ERP to a configuration platform. Change, approval and lifecycle processes were defined so that product knowledge would not be recreated in every system.
Sales, engineering and production work with the same business product logic. Characteristics and rules are governed once and used consistently across systems. This reduces duplicate maintenance, accelerates changes and prevents contradictory results between quotation, engineering and order.
Industrial valves Fewer variants, more business: Rationalizing the portfolio and strengthening configurable sales
A portfolio that had grown over many years contained numerous variants with only minor technical differences. Their customer value and economic contribution, however, were barely transparent. Sales and order fulfillment continued to treat many requests as individual cases, requiring repeated feasibility clarification and making portfolio decisions difficult to prioritize.
Rationalized the product range consistently, assessed the economics of the portfolio and variants, defined product families and preferred variants, and prioritized the most effective modularization levers. Sales and fulfillment processes were then aligned with a more configurable business model.
Sales can configure permitted solutions from clearly defined product families and preferred variants instead of repeatedly coordinating feasibility and delivery capability. The portfolio becomes more focused, the standard share can be managed deliberately and investments can be directed toward economically relevant variants.
Plant engineering for the process industries Quoting complex plants with confidence: Bringing sizing, costing, pricing and approvals into one process
Complex requests were largely sized and costed manually. Options, quantity structures, engineering effort and approvals were not consistently traceable; comparable requests could lead to different technical and commercial results. Project, margin and approval risks therefore increased before an order was even received.
Defined request and process classes, modeled standardizable solution building blocks, and structured sizing, costing and pricing logic. Approvals for special engineering, commercial deviations and risk-relevant configurations were integrated into an end-to-end quotation process.
Sales and project engineering can process comparable requests with consistent technical and commercial results. Engineering is directed selectively toward genuine special cases; costing, margin and approval needs become visible earlier. This improves quotation quality and decision confidence in the project business.
Global large-scale plant engineering Scaling globally while remaining locally compatible: A configuration architecture for different ERP and PLM environments
Multiple sites with different ERP and PLM systems were to be aligned with a shared configuration logic. Processes, data structures and maturity levels differed significantly. A centralized standard rollout without regard for local dependencies would have accelerated the transformation – while putting operations at risk.
Mapped site processes and system landscapes, developed shared structural and data principles, and assessed local deviations by relevance. This formed the basis for a target architecture with CPQ implementation, clearly defined integration patterns and a robust rollout sequence.
Global configuration principles can be introduced site by site without disregarding local system and process realities. Investments can be phased, migration risks are reduced and rollout decisions can be made on a shared architecture and data foundation.
Beverage filling and packaging lines From separate machines to a scalable line: Modularizing product environments and connecting them through interfaces
Filling, packaging and palletizing had historically been developed as separate product environments. Each process stage followed its own structures, options and interfaces. The customer, however, bought a complete line whose design still required extensive coordination and engineering across the business units.
Analyzed process stages and interfaces, defined shared modular product system and platform principles, and clarified the variant spaces for each stage. Compatible module boundaries and binding handovers were established across the complete line without sacrificing the necessary autonomy of the core products.
Complete lines can be designed faster from compatible core products and defined interfaces. Reuse replaces duplicate development, product areas become interoperable and the line business can scale without increasing engineering effort across process stages proportionally.
Supplier of highly configurable components and systems Moving beyond cost-plus logic: Connecting characteristic-based pricing with configuration and margin management
Prices were derived primarily from manufacturing costs and markups. Customer value, technical characteristics, options and market willingness to pay were considered only to a limited extent; margin management depended heavily on manual calculations, blanket discounts and individual knowledge. Variant diversity was visible technically, but barely differentiated in pricing.
Separated costing and pricing conceptually while connecting them in the process. Developed a pricing architecture comprising base prices, characteristic- and option-related surcharges and deductions, and market and customer elements; rules, guardrails and approvals were integrated directly into the configuration process.
Every configuration decision has a traceable pricing effect. Sales and management can steer price position, discount latitude and margin more deliberately without creating a new special calculation for every variant. Pricing thus moves from a downstream calculation to a designable element of the quotation.
Group with multiple business units From system proliferation to target architecture: Consolidating more than ten configurators onto three target systems
Across several business units, more than ten configurators and stand-alone solutions had emerged with their own methods, data models and bills of materials. Costs, maintenance effort and dependencies increased; the shared SAP environment could not absorb the variety consistently. Every additional isolated solution would have increased the subsequent consolidation effort.
Inventoried systems, methods and data environments, defined shared configuration principles and selected three target systems. Data models and methods were harmonized, test scenarios and a proof of concept were established, and a phased consolidation and migration path was designed.
The business units can migrate to shared methods and three target systems instead of funding additional stand-alone solutions. Investments are consolidated, maintenance effort and dependencies decline, and data and BOM handovers become more consistent across business units.
Global extrusion machinery engineering One platform, multiple sites: Configuring end to end from sales quotation to manufacturing BOM
At several sites, machines were largely engineered to order. A shared product architecture was missing; a manual, error-prone gap existed between the sales quotation and the manufacturing BOM. Growth therefore automatically meant more engineering, coordination and local special logic.
Developed a cross-site module and platform architecture, defined variant spaces, rules and degrees of freedom, and created the foundation for sales and order-specific BOM configuration. Product, process, data and system perspectives were aligned together.
Market variants can be configured across sites from a shared modular product system and derived through to the manufacturing BOM. This enables scalable growth with less one-off engineering, fewer handover errors and less coordination effort – while retaining clear control of local degrees of freedom.
Highly configurable machinery engineering Taking product knowledge out of individuals’ heads: Safeguarding rules and maintaining technical validity over time
Dependencies and exclusions were distributed across expert knowledge, different configurators, Excel files and local tools. Some technical conflicts were not identified until engineering, manufacturing or commissioning. With every product change, dependence on individuals, coordination effort and the risk of contradictory rules increased.
Developed a characteristic and relationship model, structured compatibility and exclusion rules, and established representative test cases. Responsibilities for approval, versioning and maintenance were defined as binding so that rule knowledge would not merely be digitized but remain governable over time.
Technically valid configurations are created early and reproducibly, before errors reach engineering, manufacturing or commissioning. Product knowledge becomes available independently of individuals; new variants and changes can be introduced into the configuration logic in a controlled manner through testing and governance.
Variant manufacturer in machinery engineering One product logic instead of separate BOM environments: Connecting MaxBOM, Sales BOM, eBOM and mBOM
Sales, engineering and manufacturing BOMs had evolved in separate environments. Characteristics, structures and change states were maintained repeatedly and diverged when products changed; their effects on quotations and orders were difficult to trace. The BOMs existed – but the end-to-end product logic was missing.
Refined the 150% structure as the shared MaxBOM; defined the Sales BOM, eBOM and mBOM as well as views and data ownership. Transformation, validity and change rules were defined and safeguarded through integration and test cases across PLM, CPQ and ERP.
Product changes can be carried forward consistently from the 150% model to the order-specific BOM and traced in terms of their impact. Duplicate maintenance and coordination decline; sales, engineering and production receive reliable, aligned result objects.
Energy and turbomachinery Configure where possible – engineer where it matters: Separating CTO, CTO+ and ETO modularly
Project solutions were largely redesigned from scratch even though functions, assemblies and technical options recurred. The boundary between standard, configurable solution and genuine engineering remained unclear throughout the project. Effort estimates and resource planning therefore often began too late and on an uncertain basis.
Segmented product families, developed a functional and module structure, and defined interfaces and degrees of standardization. The remaining degrees of freedom were delineated through CTO, CTO+ and ETO process classes and connected with the corresponding fulfillment and engineering content.
Recurring project content is used as configured modules, while genuine engineering focuses on customer-specific degrees of freedom. Project engineering becomes faster and more reproducible; effort, capacity and technical risk can be identified earlier and managed economically.
Pumps and fluid technology More than ten processes, five classes, one product family: Sizing and configuring pumps consistently worldwide
Hydraulic and technical sizing was separated from quotation and order data. More than ten historically evolved process variants made a consistent market rollout difficult; changes to duty point, material, drive or accessories had to be transferred and checked multiple times.
Segmented more than ten processes into five process classes – PTO, CTO, CTO+, MTO and ETO. Sizing parameters and calculation logic were structured, the characteristic and rule model aligned, permitted combinations defined and technical result data connected with quotation and order.
The global pump family can be introduced and scaled through clearly delineated processes. Changes flow into sizing, configuration and quotation without repeated transfer. Lead time, validation and result quality become more manageable while local process variants are brought back to a shared logic.
Machinery engineering in an SAP environment S/4HANA without legacy burdens: Cleaning up LO-VC, assessing AVC and defining future-ready system roles
Before the S/4HANA transformation, the evolved LO-VC models, characteristics and material master data had not been sufficiently cleaned up from either a business or technical perspective. The future role of AVC and adjacent systems was unresolved. Without preparatory work, the migration would merely have transferred existing complexity to a new platform.
Assessed configuration models and master data, compared LO-VC and AVC, and clarified the target roles of SAP, PLM and CPQ. This resulted in a prioritized cleanup and migration path connecting business model quality with technical transformation.
Migration and system roles can be planned on the basis of a decision-ready configuration architecture instead of carrying forward evolved LO-VC complexity without control. This reduces investment and operating risks and creates more robust master data for AVC and the adjacent system landscape.
Excerpt from our reference history
Selected reference companies.
The industry is not the deciding factor; the complexity of the challenge is. This representative cross-section therefore deliberately ranges from component manufacturers to large-scale plant engineering.
Important: The following overview is an excerpt from our reference history. It names only companies from projects completed more than five years ago or companies for which explicit permission to be named has been granted. Current engagements and a substantial share of our project experience deliberately remain unnamed for reasons of confidentiality.
- ABB
- AERZEN
- Aichelin
- ANDRITZ Separation
- ASMPT
- Atlas Copco
- AUMUND Group
- Belimed
- Big Dutchman
- Binder
- Bosch Packaging Technology (Syntegon)
- Brückner Maschinenbau
- Bucher Emhart Glass
- Bühler
- Burckhardt Compression
- Bürstner
- Busch Vacuum
- CLAAS
- CWS
- Diehl Metering
- Dürr Group
- ebm-papst
- EBRO Armaturen
- Elopak
- ERCO
- Felss
- Festo
- Flender
- GEA
- GEALAN
- Getriebebau NORD
- Heidelberg
- Heye International
- Hilti
- HOMAG
- ISRA VISION
- Jensen
- KHS
- Kistler
- Koenig & Bauer
- KraussMaffei
- KROHNE
- Krone
- Krones
- KSB
- Leistritz
- Lenze
- Memmert
- Olbrich
- Philips
- Progress Group
- Rittal
- Rommelag
- Samsung
- Schorch
- Schwarzmüller
- SEEPEX
- SEW-Eurodrive
- Siemens
- Siempelkamp
- Siltronic
- Sistag
- SSI Schäfer
- Steinmüller Babcock Environment
- Still
- Superior Essex
- TOPWERK Group
- Uhlmann
- Voith
- Wilo
- Windhoff
The anonymized project examples and the reference companies named are not associated with one another.
The next step
Your initiative does not need a standard answer.
In an initial conversation, we clarify where the real complexity lies, which decisions need to be made first and whether our experience profile fits your challenge.

