(54)
4.5 out of 5
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apexanalytix
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apexanalytix Features
What are the features of apexanalytix?
Data Management
- Consolidation
- Integration
Analytics
- Errors
Recovery
- Overpayments
AP Data Processing
- Controls
apexanalytix Categories on G2
Filter for Features
Management
Approval | Use criteria to add or remove suppliers to/from approved lists. | Not enough data | |
Communication | Manage communications with suppliers on multiple channels such as phone or email. | Not enough data | |
Documents | Capture and maintain documents related to suppliers and their products or services. | Not enough data |
Performance
Evaluation | Allows users to evaluate supplier performance using standard and custom KPIs. | Not enough data | |
Selection | Provide features to compare suppliers and choose the best option for various activities. | Not enough data | |
Risk Management | Identify potential issues and how they may impact relationships with suppliers. | Not enough data |
Supplier Information
Profiles | Create and manage supplier profiles that include contact and pricing information. | Not enough data | |
History | Track history of all interactions and business transactions with suppliers. | Not enough data |
Planning
Processes | Manage workflows and business processes for procurement. | Not enough data | |
Content | Maintain a repository of content such as catalogs and other documents. | Not enough data | |
Requisition | Define requisition rules for various types of procurement. | Not enough data |
Execution
Sourcing | Identify and assess suppliers for different products and services. | Not enough data | |
Invoicing | Include features for procurement invoicing and e-invoicing. | Not enough data |
Data Management
Consolidation | Based on 11 apexanalytix reviews. Consolidate information from multiple sources or multiple entities | 88% (Based on 11 reviews) | |
Integration | Integrates with ERP systems general ledgers for transfering of AP transaction data 11 reviewers of apexanalytix have provided feedback on this feature. | 89% (Based on 11 reviews) |
Analytics
Benchmarking | Provide benchmarking options for comparison with peers | Not enough data | |
Compliance | Deliver reports for compliance purposes | Not enough data | |
Errors | As reported in 10 apexanalytix reviews. Analysis that identifies errors in AP processes such as duplicate payments, anomalies, and fraud | 93% (Based on 10 reviews) | |
Behavior Analysis | Identify employees or suppliers that are more likely to commit fraud. | Not enough data |
Invoice Management
Supplier Portal | Allow suppliers to submit invoices using an online portal | Not enough data |
Integration
Payment Integration | Integrate with payment gateways and enterprise payments software | Not enough data | |
ERP | Deliver integrations with accounting modules of ERP systems | Not enough data |
Audit
Automation | Automates the review of multiple types of financial transactions such as invoices, expenses, and contracts. | Not enough data | |
Risk | Determine potential financial risks such as fraud and price violations. | Not enough data | |
Compliance | Align with internal policies and financial regulations to ensure compliance. | Not enough data | |
Globalization | Analyze financial transactions and documents in multiple languages and currencies. | Not enough data | |
Post Audits | Conducts a post-audit analysis of large volumes of data to identify historical payment errors and automatically generate claims | Not enough data | |
Overpayments | Detects and prevents a wide range of overpayment errors | Not enough data | |
Duplicates | Detects and prevents a wide range of duplicate payments | Not enough data |
Risk
Scoring | Scores suppliers and employees based on risk factors | Not enough data |
Recovery
Recoup | Identifies and recoups funds and prevents errors from happening again | Not enough data | |
Reporting | Offers reporting to aid in minimizing future lost profits and process breakdown | Not enough data | |
Historical payments | Approve, reject, or query historical payment transactions to identify anomalies | Not enough data | |
Overpayments | Based on 10 apexanalytix reviews. Recover overpayments, duplicate payments, or unused credits from suppliers | 97% (Based on 10 reviews) |
Fraud
Vendor Checks | Enables automatic checks of new vendors being set up in the system to combat potential billing schemes | Not enough data | |
Data Generation | Generates comprehensive data needed to conduct a thorough investigation | Not enough data | |
Monitoring | Provides continuous, proactive fraud monitoring across multiple systems and data formats | Not enough data |
AP Data Processing
Controls | As reported in 10 apexanalytix reviews. Strengthens process controls by using analysis to proactively reduce errors before they happen and detect fraud risk | 93% (Based on 10 reviews) |
Risk Assessment
Scoring | Users can assign scores to suppliers based on the estimated risk of doing business with them. | Not enough data | |
AI | Utilize artificial intelligence to analyze third party risks. | Not enough data |
Risk Control
Reviews | Review vendor contracts and profiles to ensure compliance with regulation and internal policies. | Not enough data | |
Policies | Manage and enforce internal policies related to vendor risk management and controls. | Not enough data | |
Workflows | Provide workflows to mitigate risk and escalate issues proactively. | Not enough data |
Monitoring
Vendor Performance | Track vendor performance using supplier data such as a history of transactions and contracts. | Not enough data | |
Notifications | Send alerts and notifications when corrective actions are needed to address supplier risk. | Not enough data | |
Oversight | Perform ongoing due diligence activities to auto calculate overall risk for each vendor. | Not enough data |
Reporting
Templates | Include reporting templates for activities such as audits and vendor evaluation. | Not enough data | |
Centralized Data | Consolidate data from multiple systems that manage supplier information. | Not enough data | |
360 View | Provide a 360 view of suppliers which can be shared with internal or external users. | Not enough data |
Operational Risk Management
Operational Risk Methodology | Support various methodologies and frameworks for operational risk management such as ISO 31000 and COSO. | Not enough data | |
Operational Risk Classification | Ability to classify risks based on risk type, severity, and custom criteria. | Not enough data | |
Operational Risk Identification | Identify various risk factors such as the inadequate use of technology, human factor, or external risks. | Not enough data |
Business Resilience
Business Continuity | Support business continuity plans through integrations with business continuity software, incident response, or controls planning | Not enough data | |
Compliance Management | Reduce risk of legal liability through regulations and standards compliance. | Not enough data |
Generative AI
AI Tasks | Automates basic tasks and workflows utilizing AI. | Not enough data |
Agentic AI - Third Party & Supplier Risk Management
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Operational Risk Management
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data |
Agentic AI - Procure to Pay
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data |
Agentic AI - Accounts Payable (AP) and Spend Analysis
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Financial Audit
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data |
Agentic AI - AP Automation
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
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