Client Success Story

Integrate: Implemented process mining with revenue management systems to analyze booking trends, competitor pricing, and demand fluctuations. Data pipelines were established to pull external market signals, such as competitor rates and regional events, into the pricing model.

Discover: Identified revenue leakage caused by static pricing models and inconsistent discounting strategies. Analysis also exposed fluctuations in revenue performance across different booking channels and customer segments.

Understand: Assessed historical data, seasonal demand, and booking behavior to refine pricing algorithms. Customer behavior insights were used to differentiate pricing strategies for direct bookings, OTA platforms, and corporate clients.

Act: Deployed AI-powered dynamic pricing, adjusting rates in real time based on demand and market conditions. Implemented automatic promotional triggers during low-demand periods and surge pricing models during high-demand seasons.

Monitor: Used automated dashboards to track revenue impact, room utilization, and market positioning. Continuous tracking of real-time booking patterns enabled rapid adjustments to maintain a competitive pricing advantage.

Connect the fraud detection system with the out-of-the-box connector for transaction monitoring systems. Configure relevant KPIs, including fraud detection rate and false positive rate.

Process Mining uncovers patterns in fraudulent transactions and identifies the steps where fraudulent activities bypass detection.

Enhance fraud detection algorithms by incorporating machine learning models that analyze transaction patterns in real-time.

Monitor the metric fraud detection rate to continually improve the effectiveness of fraud prevention measures.

Connect the cross-border payment system with the out-of-the-box connector for payment processing systems. Configure relevant KPIs, including average transaction time and transaction cost per payment.

Process Mining identifies delays and high-cost areas in the cross-border payment process. Further analysis reveals specific steps causing delays, such as currency conversion and intermediary bank processing times.

Implement real-time payment tracking, optimize currency conversion processes, and negotiate better terms with intermediary banks to reduce processing times and costs.

Monitor the metrics average transaction time and transaction cost per payment to ensure continuous improvement in the cross-border payment process.

Connect the internal audit process with the out-of-the-box connector for audit management systems. Configure relevant KPIs, including audit coverage rate and findings per audit.

Process Mining identifies areas with high risk and frequent non-compliance. Further analysis shows specific processes and departments where these issues occur.

Prioritize audit activities based on risk levels and automate routine compliance checks to free up auditors for high-value tasks.

Monitor the metrics audit coverage rate and findings per audit to ensure continuous improvement in audit effectiveness.

Connect the SAP accounts payable process with the out-of-the-box connector for SAP accounts payable. Configure relevant KPIs, including % of discounts captured and the impacted value.

Process Mining reveals a low % of discounts captured. Further analysis shows which suppliers are paid later than the due date, and the impacted value.

Automate invoice payment for suppliers with an early payment discount program, and trigger alerts to accounts payable team when payment exceeds the due date.

Monitor the metric % Discounts Captured to continuously maximize the value of cash discounts.

Connect the financial and supply chain management systems with the out-of-the-box connectors. Configure relevant KPIs, including Cash Conversion Cycle (CCC), Days Inventory Outstanding (DIO), Days Sales Outstanding (DSO), and Days Payable Outstanding (DPO).

Process Mining identifies bottlenecks in the supply chain, invoicing, and payment processes. Further analysis reveals specific suppliers, products, or customers that impact the CCC.

Streamline inventory management by implementing just-in-time (JIT) practices, improve invoice accuracy and speed up the billing process, and negotiate better payment terms with suppliers to extend DPO.

Monitor the metrics Cash Conversion Cycle (CCC), Days Inventory Outstanding (DIO), Days Sales Outstanding (DSO), and Days Payable Outstanding (DPO) to ensure continuous optimization of working capital.

Connect the accounts receivable process with the out-of-the-box connector for financial management systems. Configure relevant KPIs, including Days Sales Outstanding (DSO) and overdue invoice rate.

Process Mining identifies late payment patterns and customers with high overdue invoices. Further analysis shows specific billing issues and payment delays.

Enhance invoice accuracy, implement automated payment reminders, and offer early payment discounts to incentivize timely payments.

Monitor the metrics Days Sales Outstanding (DSO) and overdue invoice rate to ensure continuous improvement in accounts receivable management.