Outsourcing business processes
Focus on your core competencies
The new customer requirements of the digital age present a major challenge for many companies. Efficient and end-to-end business processes will support you in overcoming these hurdles – find out how it works here.
Outsourcing of business processes
Here’s how it works
When you outsource business processes with Swiss Post Solutions, you benefit from the combination of innovative business process outsourcing (BPO) solutions and Swiss Post Solutions’ extensive experience in this field. For example, the automation of accounts payable/receivable and claims management.
To create the best business process for each company, we combine established outsourcing functions such as scanning, optical character recognition (OCR), data entry/extraction and offshoring capabilities with robotics and artificial intelligence. Discover more about the components of intelligent automation:
Robotic Process Automation (RPA)
RPA is the use of software for processes which were previously carried out by people. Combined with artificial intelligence, RPA can be very beneficial for handling unstructured data.
Artificial Intelligence (AI)
AI refers to software’s ability to think and learn by itself. Using historical data and patterns, it continuously improves its own performance when carrying out tasks.
Natural Language Processing (NLP)
NLP understands the nuances of human language. The tool extracts the meaning from the content of communication such as e-mails.
Optical Character Recognition (OCR)
OCR processes unstructured data from chatbots, text messages, e-mails, e-mail attachments and paper documents and converts this data into a structured form.
Intelligent Character Recognition (ICR)
ICR is used for similar purposes to OCR, but it processes written texts.
Moving towards efficient business processes
Evaluation of the technical feasibility, including the business case
Detailed business case and automation concept
Configuration of workflows
Configuration and testing of intelligent systems
Use of intelligent systems in production