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Description
DA-Desk offers a comprehensive digital solution designed to streamline the disbursement-account process and manage payments for maritime port calls, allowing users to designate agents, review provisional and final disbursement accounts, and ensure compliance by validating each invoice and payment. The platform features seamless integration with existing voyage-management systems through its DA-Desk Integration System (DIS), enabling connections to any VMS or accounting software while automating critical processes from agent designation to account reconciliation. This automation alleviates manual work, minimizes errors, and helps reduce financial, legal, and regulatory risks. Capable of handling high volumes, the system efficiently manages hundreds of thousands of port calls each year, conducting thorough screenings for fraud or sanctions, embedding verification for agent credibility, and facilitating transactions in more than 130 currencies. Moreover, it offers enhanced transparency, along with dashboards and workflows that cater to the needs of both operators and charterers, ultimately improving operational efficiency across the maritime industry. By prioritizing user experience, DA-Desk ensures that its technology remains at the forefront of maritime finance solutions.
Description
Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1,400 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DA-Desk
Founded
2001
Country
United Arab Emirates
Website
www.da-desk.com
Vendor Details
Company Name
MedCXO
Country
United States
Website
medcxo.com/fraud/
Product Features
Freight
3PL
Barcoding / RFID
Billing & Invoicing
Customer Management
Customer Portal
Import / Export Management
International Forwarders
LTL Management
Local Forwarders
Rate Management
Shipment Tracking
Truckload Management
Warehouse Management
Waybills
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval