Get started with Oracle AI for ERP Cloud

Oracle's AI offers a suite of AI and ML-powered tools designed to enhance operational efficiency, automate routine transactions, accurately forecast business outcomes, and optimise cash flow.

Intelligent Document Recognition

Description: Intelligent document recognition uses machine learning and optical character recognition (OCR) to automatically identify and extract relevant information from supplier invoices. This system has the capability to learn and adapt the patterns of different Supplier Invoices, reducing exceptions and user intervention

Benefits:

Efficiency: Streamlines the invoice processing workflow, saving time and reducing human errors.

Cost Savings: Lowers operational costs by minimising the need for manual intervention.

Accuracy: Enhances data accuracy by reducing the risk of human error in data entry.

Scalability: Easily handles large volumes of invoices, making it scalable for businesses of all sizes.

Account Code Combination Defaulting

Description: This feature automatically suggests or populates account codes during the invoice entry process based on historic data and confidence score threshold. The Al and machine learning algorithms learn from the edits and use the information to improve the prediction accuracy. It is recommended to have 3 months of invoice historic data to learn the pattern and the prediction

Benefits:

Time Savings: Reduces the amount of time employees spend on coding invoices manually.

Consistency: Ensures consistent application of account codes across all invoices, improving financial reporting accuracy.

Error Reduction: Minimises the risk of misclassification and errors in account coding.

Productivity: Allows finance teams to focus on more strategic tasks rather than repetitive data entry.

Intelligent Invoice to PO Line Matching

Description: This process uses AI and machine learning to automatically match invoices to their corresponding purchase order (PO) lines. The system cross-references invoice details with PO data to ensure accuracy and compliance. This feature is to be released widely in future releases for all customers

Benefits:

Speed: Accelerates the payables process by quickly verifying and matching invoices.

Accuracy: Reduces discrepancies and errors by ensuring that invoices match the purchase orders and goods received.

Compliance: Ensures that only valid and authorised invoices are processed for payment.

Operational Efficiency: Frees up staff time from manual matching tasks.

Transaction Matching

Description: This feature automates the reconciliation of high-volume and complex transactions in Oracle EPM Cloud Service. It uses data loaded from one or more sources and match transactions using predefined rules. System trains on the reconciled dataset to identify the pattern and suggest matching.

Benefits:

Time Savings: Saves the additional time and labor spent on manual preparation of complex reconciliations.

Accuracy: Removes inefficiencies in the process of preparing reconciliations.

Error Reduction: Reduces risks and improves the quality of the reconciliation process.

Efficiency: Reduces human errors and speeds up the reconciliation process.

Expenses Digital Assistant

Description: An Expenses Digital Assistant is an AI-powered conversational interface that allows employees to create and submit expense reports using natural language. Users can interact with the assistant through text or voice commands to capture expenses, upload receipts, and track the status of their reports.

Benefits:

User-Friendly: Simplifies the expense reporting process with an intuitive, conversational interface.

Time-Efficient: Reduces the time spent on creating and submitting expense reports.

Convenience: Allows users to submit expenses on-the-go, improving productivity and compliance.

Real-Time: Provides instant response and assistance, ensuring accurate and complete expense submissions.