Digital Transformation in Manufacturing

We develop and implement your AI and digitalisation strategy to create more efficient sales, service and marketing processes. Scalable and with full data control.

AI and Digitalisation Strategy for Mechanical Engineering, Plant Engineering and Manufacturing Companies

Global market changes are hitting the manufacturing industry hard: international competition, rising customer expectations and digital gaps across sales, marketing and service make it more difficult to retain customers over the long term and plan growth reliably. At the same time, fragmented data and a lack of transparency hinder operational efficiency, particularly in complex sales and project processes.

An intelligent, connected data infrastructure provides clarity and speed: it brings together all information on customers, products and services, automates processes across the customer journey, and delivers reliable forecasts for planning and production.

With a deep understanding of the manufacturing industry’s requirements, Salesfive helps machinery and plant manufacturers, component producers and other B2B manufacturing companies digitally connect sales, service and marketing, and make data actionable throughout their business processes – from lead qualification and integrated sales and service processes to AI-powered customer retention.

We take a technology-agnostic approach, working with you to select the platforms that deliver the greatest value for your organisation. We then implement them in a practical and results-driven way.

Steffen Garbe
Managing Consultant

Steffen Garbe

My team and I support your digital transformation with expertise gained from numerous projects in the manufacturing industry.

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What We Do for You

Digitalisation Consulting for Mechanical Engineering and Manufacturing Companies

We combine industry expertise with strategy, process consulting, data, AI and CRM – tailored to complex sales, service and system landscapes in the manufacturing industry.

Strategy and Process Consulting for Manufacturing

We digitalise complex processes – from lead-to-order and project sales to after-sales service and partner management. We use this to develop a clear roadmap for processes, data and systems.

AI and Data for Mechanical Engineering and Manufacturing Companies

We connect customer, product, order and service data to create a reliable data foundation and make it available for relevant AI applications.

Salesforce CRM for Manufacturing Companies

We connect sales, service and partners on a shared CRM platform and integrate existing ERP, PIM and production systems. This creates an end-to-end view of customers, products, assets and processes.

Use Cases

What We Have Already Delivered for Our Clients

The challenges facing the manufacturing industry are diverse: complex sales processes, international competition and rising customer expectations. With the right strategies and technology solutions, combined with our industry expertise, we connect your processes and make them scalable and future-ready.

Artificial Intelligence

Integrated sales methodology

Artificial Intelligence
Integrated sales methodology

Is Your Sales Process Complex and Largely Unstandardised? We Structure Your Entire Sales Process: manage opportunities, engage stakeholders and progress deals – for more closed deals and greater planning certainty.

Artificial Intelligence

Global Forecasting for Manufacturing Companies

Artificial Intelligence
Global Forecasting for Manufacturing Companies

Is your sales planning unclear because data is missing or isolated? Create a central database for all sales regions: automate forecasts, compare forecasts, and plan sales realistically – across locations and reliably.

Route and resource optimization

Route and resource optimization

Is your field service losing time due to manual planning and detours? Automate resource planning! Routes are optimized according to availability, region, and responsibility, for maximum efficiency and customer focus.

Artificial Intelligence

Automated Customer Classification in B2B Sales

Artificial Intelligence
Automated Customer Classification in B2B Sales

Are your sales resources being wasted on low-profit customers? We use AI to categorise customers according to their potential, needs and relevance, enabling targeted visits, effective customer support and maximum sales efficiency.

Asset Management for Machinery and Equipment

Asset Management for Machinery and Equipment

Do you lack an overview of your equipment? With the right tools, you can manage all your assets centrally, including their location, status and configuration. This ensures transparency, better resource planning, higher service quality and increased equipment availability.

Partner and dealer coordination

Partner and dealer coordination

Are your direct sales and partners not working hand in hand? Consolidate activities on one platform: coordinate sales partners, view product availability, and manage customer orders for better collaboration.

Salesfive Insights

Structuring Sales 4.0: How to Build Effective Sales Structures

What Are Sales Structures? Why Are They So Important? How Do You Build Digital Sales Structures? Find Out in This Article.

Customer stories

Successes that deliver value

Learn how we have helped companies in the manufacturing industry transform their sales, service, and marketing processes and thus create real competitive advantages.

Steffen Garbe | Manufacturing Industry Expert

"Intelligent use of data and the right infrastructure are now key to rapid innovation and long-term customer loyalty."

Steffen Garbe | Manufacturing Industry Expert

Contact

Ready to Digitally Transform Your Manufacturing Processes?

Wherever you are in your journey, together we find the right starting point. Contact us and we will get back to you promptly to discuss your project.

FAQ

Frequently Asked Questions

Digital transformation in a dynamic market such as manufacturing raises many questions. Here, you will find answers to frequently asked questions from practice.

An AI solution helps identify patterns in long sales cycles and international project business that can easily go unnoticed in day-to-day operations. For example, it can reveal which opportunities are most likely to close, where projects are at risk of stalling, or which decision-makers have played a decisive role in similar projects.

This enables sales and project teams to prioritise more effectively instead of treating every opportunity in the same way.

Use cases are particularly effective when AI identifies patterns in large data sets that would otherwise go unnoticed: for example, machine learning models for more accurate sales forecasts, predictive scoring models to prioritise customers based on potential, or AI-supported route optimisation for field sales teams.

The best starting point is a use case that requires minimal integration effort while delivering visible benefits.

For AI applications, a manufacturing company primarily needs a consistent, well-connected data foundation. This includes customer and sales data from the CRM, order and master data from the ERP, product information from the PIM, as well as machine, service and production data.

What matters is that this data is up to date, complete and connected through interfaces. This enables AI applications to improve forecasts, identify service requirements and automate sales and production processes.

CRM, ERP, PIM and production systems are connected via APIs and integration platforms to create an end-to-end system landscape.

For example, sales and service teams can access up-to-date product, order, machine and customer data without having to switch between different systems. Clear data ownership and standardised data models ensure that information remains consistent and up to date.

With marketing automation, lead scoring and targeted campaigns, you can systematically generate new contacts, for example through webinars, trade fairs or whitepapers. An intelligent system automatically evaluates leads and passes only qualified contacts on to sales.

A digital after-sales and spare parts business brings together customer, machine, service and spare parts data on a shared data foundation. This enables service requirements to be identified at an early stage, maintenance and field service activities to be planned efficiently, and relevant spare parts to be offered in a targeted way. By integrating CRM, ERP and other service or production systems, sales and service teams gain a consistent view of installed machines and equipment.

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