Digitalization for Industry

World-class products. Now available in digital form, too.

We support manufacturing companies and medium-sized industrial businesses in tapping into new markets and making the transition from product providers to solution and service providers. Using AI, digital platforms, configurators, and service portals, we create new business opportunities, more efficient processes, and long-term customer relationships.

On Price Pressure, Paper-Based Processes, and Unused Data

German industry is a global market leader in numerous value-added sectors—yet digital processes often fail to keep pace: Quotes are calculated individually over the course of several days, material flow and distribution rely on paper and Excel, machine and product data remain untapped, and the potential of the installed base is scarcely exploited in after-sales. At the same time, regulatory requirements and international competitive pressure are on the rise.

This is exactly where we come in with digital transformation: We digitize production, sales, service, and the supply chain; make products and systems AI-ready; and transform data into more efficient processes, new services, and digital business models—so that product strength becomes a digital competitive advantage.

Automotive Suppliers

New global competitors and the shift toward e-mobility are transforming established product portfolios while simultaneously opening up new markets for expertise in areas such as sensor technology, thermal management, and mechatronics. We support the transition from supplier to technology company—from establishing digital sales and service channels, including CPQ and after-sales, to Catena-X and achieving TISAX and ISO 21434 certification.

Machinery & Plant Engineering

Companies that no longer want to compete solely on the price of their machines are differentiating themselves through software, data, and services related to the machine. We unlock the service potential of the installed base—from service portals, spare parts web shops, remote commissioning, and IoT data platforms to managed services.

Mid-Sized Industrial Companies & Hidden Champions

Highly specialized companies are eager to innovate and invest—but rarely have their own software, data, security, and AI teams. We provide pragmatic solutions that deliver quick results, share best practices across industries, and supply temporary specialists where in-house capacity is lacking. No matter what is being manufactured.

Predictive Maintenance: Anticipating Failures Instead of Reacting to Them

Unplanned downtime, scrap, and unclear product data cost money every day. We connect machines via the IoT and enable predictive maintenance, use AI-powered image recognition to verify quality, and modernize MES and manufacturing IT. With PLM based on CONTACT Elements, engineering and production teams can keep product data and changes under control throughout the entire lifecycle—all the way to the digital twin for simulation and optimization.

For: Production, maintenance, and engineering managers in all subdivisions.

Increase System Availability

Digital After-Sales: Getting More Out of the Installed Base

Every product delivered represents a customer touchpoint that can generate revenue—provided service is accessible digitally. We build customer and service portals that track the installed base, spare parts web shops, and maintenance apps—including AI-powered, image-based spare parts search that finds the right part in seconds instead of through tedious manual work. And we use this to develop new business models: from high-margin after-sales services to Product-as-a-Service, which transforms Capex into Opex.

For: Machinery & Plant Engineering, Automotive Aftermarket, Building Technology, and Medical Technology—anywhere products remain in the field for long periods.

Discuss service potential

CPQ & Product Configuration: Customized Products, Quick Quotes

Products with a wide range of variants and customized system configurations make quoting and contracting processes slow and consultation-intensive. With digital CPQ systems, product configurators, and AI-powered pricing, we guide customers to the right solution—and help your sales team close deals faster. Complemented by B2B commerce and digital customer interfaces that enable orders around the clock.

For: Mechanical engineering, electrical engineering, metal and plastics processing, construction suppliers—anywhere where product variations slow down sales.

Speed up the bidding process

Industrial AI: Products and Systems That Think for Themselves

In many companies, data from machines, products, and processes remains untapped—often because they lack a dedicated data and analytics unit. We make existing products AI-ready—even offline and cost-effectively at the edge—build IoT data platforms, and integrate generative AI and RAG approaches into engineering, maintenance, and production—for example, as an assistant that makes maintenance knowledge from documentation and historical records immediately available. We also provide demand and inventory forecasts that reduce the burden on warehouses. From identifying use cases to productive implementation—as Data & Analytics as a Service, if needed.

For: all business units—especially where systems are running but no one is analyzing their data.

Identify AI use cases

Digital Supply Chain: End-to-End Data Instead of Excel and Paper

Every industrial company operates its own logistics processes—inbound, intralogistics, distribution—and, surprisingly often, these are still managed manually. We integrate material flow, ERP, and distribution into end-to-end processes: from the supply chain visibility cockpit with AI-powered early warning to cloud-based load carrier management and seamless integration with data platforms such as Catena-X, Manufacturing-X, and Logistics-X.

For: Automotive, mechanical engineering, process industries, consumer goods manufacturing—anywhere materials are moved.

Digitizing the Supply Chain

Security & Compliance for the Industrial Sector

CSRD, LkSG, NIS2, CRA, or requirements such as TISAX: Regulatory and customer requirements are increasingly influencing market access, contracts, and nominations. At the same time, legacy, fragmented system landscapes are hindering digital transformation. We automate ESG and CO₂ reporting, prepare organizations for TISAX and ISO 27001, secure networked production in accordance with IEC 62443, and modernize legacy manufacturing IT—from S/4HANA transformation and legacy system replacement to cloud migration. We integrate sustainability into our approach: energy efficiency initiatives and ESG data sourced directly from production rather than from Excel.

For: all business units—mandatory for suppliers to regulated industries and operators of networked production.

Request a Compliance Roadmap

Expertise evolves—the organization must keep pace

The skills shortage is hitting the industry in two ways: There is a shortage of commissioning engineers, project managers, and software specialists, while expertise is shifting from mechanics to software. We support reskilling efforts, offer academy and developer training, establish digital knowledge management systems, and provide temporary experts—ensuring that knowledge is retained and progress is accelerated.

For: small and medium-sized businesses and hidden champions—anywhere where in-house software and data capabilities are lacking.

Discuss Enablement Needs

Production & Engineering

Predictive Maintenance
MES
PLM
Digital Twin
AI Quality Control

AI, Data & IoT

Industrial AI
GenAI & RAG
IoT-/Data platforms
Edge
Data & Analytics

Sales, Service & Commerce

CPQ
Product Configurators
Service Portals
B2B-Commerce
Product-as-a-Service

Supply Chain & Enterprise IT

Intralogistics
Data rooms
SAP/ERP
Individual software
PIM/DAM

Security, Transformation & Operation

Legacy Modernization
Cloud
ESG
TISAX/ISO/IEC 62443
Reskilling
Managed Services

Image-Based AI Parts Search for Industrial Companies

With AI-powered visual search, we make it possible to identify technical components based on a photo. Service and sales teams can find the right replacement parts much faster—even without a part number or in-depth product knowledge.

To the case

Imagebild SAP CPQ Konfigurator für HANSA-FLEX von team neusta

More efficient, faster, HANSA-FLEX: SAP CPQ transformation

Together with HANSA-FLEX, we have developed an innovative CPQ configurator that enables customers to configure their own hose lines online.

To the case

Ansicht auf Tablet von Produktdetails im X-Code-Manager von Hansa Flex

All-rounder for HANSA-FLEX

We have created an all-rounder solution for HANSA-FLEX that can organize the management of hydraulic components in machines and systems flexibly and across locations.

To the case

Industrial DNA

We’re familiar with nomination processes, serial logic, long project timelines, and the shop floor. We share best practices across departments instead of letting complacency set in.

IT and OT from a Single Source

From ERP and data rooms to edge computing, sensor technology, and manufacturing IT—including security in accordance with IEC 62443 and PLM expertise from within our own group through CONTACT Software.

Action Instead of Slides

Consulting, development, integration, and managed services from a single network—MVP-oriented, low-risk, and with no disconnect between design and operation. Also suitable for medium-sized businesses without their own large-scale IT organization.

What does digital transformation mean in the industrial sector?

Digital transformation connects industrial processes, products, and data with modern technologies. The goal is to make processes more efficient, make better use of data, and develop new digital products, services, and business models.

How can AI be used in industry?

Among other things, AI can analyze production and machine data, support quality inspections, predict maintenance needs, make knowledge available, and automate quotation and service processes. It is crucial to prioritize use cases based on their benefits, data foundation, and technical feasibility.

What is Industrial AI?

Industrial AI refers to the use of artificial intelligence in industrial products and processes. Examples include predictive maintenance, AI-powered quality control, intelligent assistance systems, and the analysis of machine and production data.

What is a digital twin?

A digital twin digitally replicates products, machines, systems, or processes and links relevant data throughout their lifecycle. This makes it possible, for example, to analyze conditions, simulate developments, and improve maintenance or service processes.

How can industrial companies modernize their existing IT systems?

Not every legacy system needs to be replaced. Using APIs, integration platforms, cloud technologies, and modern data architectures, existing ERP, MES, PLM, and production systems can be modernized and interconnected in a phased approach.

How does team neusta support industrial companies with their digital transformation?

We support industrial companies across the entire spectrum—from strategy and consulting to software development, AI, data, and IoT, all the way through to integration and operations. Together with CONTACT, we combine digital implementation expertise with in-depth knowledge of industrial products, engineering, and product lifecycles.