The company is a house-hold name in the
retail energysector in Australia. They serve over 700,000 customer accounts across the country, solidifying their position as a leading energy retailer. They had implemented a discount program to incentivize on-time customer payments, crucial for maintaining cash flow. However, the system wasn’t functioning as intended. Infoveave was approached by the company to help them implement the incentive system properly. This success story explores how Infoveave leveraged RPA technology to overcome these challenges and achieve efficient, accurate discount application.
To incentivize timely bill payments the company offered discounts for payments made by the due date. The discount offers for payments made by the ‘due date’ went a long way towards retaining customers.
However, customers who cleared the invoice on time with the discount percentage availed, were still seeing the discounted amount as balance due.
At times, discounts were not being applied in the system due to longer processing times due to holidays and unresponsive payment gateways, which were taking the invoice payment “past the due date”.
This discrepancy led to the back-office team in the organization manually verifying the accounts to ascertain whether or not the customer was eligible for the discount offer.
This verification process burned several man-hours that could have otherwise been put to better use.The discrepancies that could not be verified led to customer dissatisfaction and eventual customer churn and loss in revenue.
Here’s where
robotic process automation(RPA) entered the picture. RPA utilizes software “bots” to automate repetitive tasks, freeing up human employees for more strategic work. Infoveave implemented RPA to do the following –
By partnering with Infoveave, the company transformed its discount program, ensuring seamless and accurate application of discounts for timely bill payments. The implementation of RPA allowed the company to automate the verification and application of discounts, effectively eliminating manual errors and reducing the workload on their back-office team. This led to significant improvements in operational efficiency and customer satisfaction.
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