Shaping the Future of the Manufacturing Industry with Innovative Technologies and Automated Processes
It is clear that ever more is being asked of the manufacturing industry: planning and cost-efficient production may be at the centre of it all, but they are becoming ever more difficult due to cross-border IT structures, with an increasing number of the partners, clients and suppliers being active in the cloud. Making data constantly available and up-to-date will be a key problem in the immediate future. Digital processes and proven technologies help our clients meet these requirements.
Our role in this is to prepare you in the best possible way for the challenges of today and tomorrow. Our core competence is using Salesforce to digitally link logistics, production, sales, customer service and marketing. With Salesforce, clients save significant time and money while increasing productivity and efficiency in their companies.
Introducing and Optimising Salesforce Solutions
Tailored implementation and customisation of Salesforce products such as Sales Cloud, Marketing Cloud, Pardot or Experience Cloud
Customising Salesforce for Industry and Manufacturing Clients
- Individualised solutions such as calculating opportunity values based on multi-year production forecasts
- Practical connection of your ERP systems (SAP, MS-NAV, Infor-M3, etc.) to visualise operationally relevant ERP data right within Salesforce
- IoT integration: Machine data triggers processes (e.g. maintenance needs)
Closed-Loop Marketing (CLM) and Multi-Channel Marketing (MCM)
Connecting up marketing automation systems: Salesforce Marketing Cloud, Pardot, etc. & Setup of double-opt-in validation processes for legally compliant communications
Implementing Complex Quote Processes
Setting Up Complex CPQ logics
For the creation of quotes based on comprehensive product catalogues
Implementing Guided Selling Processes
To reduce the burden of sales staff training
Geocoding and Mapping Salesforce Data
Integrating Google Maps for top-quality visualisation of leads and contacts for route planning
Integration via various platforms, including REST and SOAP API integration
- Cloud-to-Cloud: Salesforce
- Ground-to-Cloud architectures
Setup and implementation of the Salesforce Experience Cloud & Integration of websites for the building of customer or partner communities
SELECTED CASE STUDIES
Recycling service provider
The digitisation of sales processes also presents this customer with a major challenge. With the help of the Salesforce Sales Cloud, we integrate a central platform at the customer and carry out a structured digitalisation of the sales processes.
We start with an extensive adaptation to map the specific customer processes in the form of an industry solution for the waste management industry. In addition to the obligatory sales processes, new purchasing processes are mapped. The complex process for creating offers and contracts (incl. configuration and pricing CPQ) is supplemented. For this purpose, various systems (ERP, etc.) are integrated into the solution via Talend Open Studio.
→ Salesforce Sales Cloud
→ Lightning Design System & Visualforce
Digitalisation relaunch in the real estate industry
With the successful introduction of the Sales Cloud as a digital corporate platform, a fundamental milestone in Patrizia's digitalisation strategy was implemented. Based on this platform, numerous other central business processes were implemented on the Salesforce platform.
Health & Pharma
Faster processing of customer and product transactions through service cloud implementation
Implementation of the Service Cloud for faster processing of customer and product transactions in compliance with strict regulatory requirements in the field of technological eye diagnostics.
Nonprofit Cloud Implementation
Introduction of Salesforce Nonprofit Cloud to transform IT infrastructure and digitise fundraising processes. A new, future-proof platform should reduce time and simplify processes to ensure consistently high performance in data processing. In addition, the data management of data sets was one of the most important objectives.