The European pharma manufacturer faces increasing complexity in their order-to-cash (O2C) cycle due to manual processes in order processing, invoicing, and payment collection. Manual data entry, high error rates, limited visibility, working capital issues, and costly overheads contribute to the complexity and inefficiencies. These challenges affect customer dissatisfaction, decision-making, forecasting, financial stability, and the need for additional resources to manage the O2C cycle effectively.
The pharma manufacturer implemented Bautomate’s intelligent automation platform that combined robotic process automation (RPA) and artificial intelligence (AI) to optimize their order-to-cash cycle. The platform automated order processing, generated and sent invoices, provided real-time tracking and reporting and created seamless workflows between departments. It also equipped AI algorithms for error handling and resolution, reducing manual intervention and improving order accuracy. Bautomate also integrated predictive analytics to forecast cash flow and prioritize collections, reducing delays and accelerating cash flow.