BILLING ERRORS

Billing errors, including inaccurate invoices, late bills, and disputed charges, are a significant challenge in the Web2 billing, utility, and subscription industries. These errors lead to customer dissatisfaction, revenue leakage, and increased costs. Skull Ape Mathematical Algorithm Explanation:

Let's assume a billing system with a 2% error rate and an average invoice value of $100. We can represent this Causing the following algorithm:

Billing Error Rate (BER)

= 0.02

Average Invoice Value

(AIV) = $100

We can reduce the error rate using the following algorithm:

Decentralized Billing

Error Rate (DBER) = 0.001

Decentralized Average Invoice Value

(DAIV) = $100

SOLUTION: SMART CONTRACT-BASED BILLING

Smart contract-based billing, enabled by Skull Ape ecosystem, offers a solution to billing errors. Smart contracts automate billing processes, ensuring accurate calculations and reducing errors. Immutable audit trails provide transparent billing records, minimizing disputes and revenue leakage.

Skull Ape Mathematical Algorithm Explanation:

We can represent Skull Ape smart contract-based billing system using the following algorithm:

Smart Contract-based

Billing (SCB)

= DBER + DAIV

SCB = 0.001 + $100