At Skovinen, we start the transformation journey by understanding the core business imperatives and mid to long-term goals of our clients. We then interview key people in the organization to identify areas of pressing concerns. We work closely with the leadership team to prioritize these concerns. Finally, we develop a roadmap that blends proven operational methodologies and artificial intelligence to address one or more of the prioritized issues.
Here are some sample case studies from client projects where our team was able to demonstrate clearly measurable operational and financial benefits by leveraging AI for business transformation.
Real-time data extract from the production line was used to rapidly generate fact-based operational insights and drive business process changes. This resulted in a consistent increase in machine availability and daily average production within a few months.
A custom-built, cloud-based Deep Learning solution that extracts data from paper-based receipts, was used to automate the client’s manual Order to Cash process. A phased approach set up the client for 3X growth without the corresponding need to add resources.