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What is PayStorm?

PayStorm is a cutting-edge platform that harnesses the power of artificial intelligence to optimize accounts receivable workflows, significantly improving cash flow management for small and medium enterprises. By employing advanced machine learning algorithms, PayStorm analyzes payment patterns to identify clients who may pose risks of late payments before they actually fall behind, resulting in an impressive 40% decrease in overdue payments and a faster collection timeline by 17 days. The platform seamlessly integrates with popular accounting solutions like QuickBooks and Xero, enabling automatic uploads of invoicing data for effective payment assessments. Notable features include machine learning-based risk assessments, automated payment reminders that maintain professional rapport, detailed cash flow analyses, and predictive insights for future financial planning. Furthermore, PayStorm enhances productivity by saving teams over five hours weekly through smart automation while maintaining strict compliance with GDPR security standards. This solution is especially valuable for businesses that follow project-based or retainer models, providing efficient receivables management without requiring extensive financial expertise. With its intuitive design and robust features, PayStorm not only empowers businesses to enhance their cash flow but also instills confidence in managing accounts receivable effectively. The platform stands out as an essential tool for businesses looking to modernize their financial processes and improve overall efficiency.

What is Inebura?

Inebura is a comprehensive software solution designed for the management of accounts receivables, fully automating the entire invoice-to-cash workflow. Leveraging predictive analytics and automation, it enhances the efficiency of accounts receivable processes while offering improved visibility into the receivables portfolio. Notable features encompass automated collection workflows, personalized dashboards and reporting options, as well as tools that foster team collaboration. Furthermore, Inebura seamlessly integrates with ERP systems to optimize cash flow, support credit evaluations, and facilitate informed decision-making. Ultimately, this software aims to boost operational efficiency and working capital by revolutionizing the way accounts receivable is handled, ensuring businesses can manage their finances more effectively. By transforming traditional processes, Inebura empowers organizations to achieve better financial outcomes.

Media

Media

No images available

Integrations Supported

QuickBooks Online
Xero

Integrations Supported

QuickBooks Online
Xero

API Availability

Has API

API Availability

Has API

Pricing Information

$24/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PayStorm AI

Date Founded

2022

Company Location

United States

Company Website

paystorm.ai

Company Facts

Organization Name

TanServ Business Process

Date Founded

2012

Company Location

India

Company Website

inebura.com

Categories and Features

Accounts Receivable

ACH Payment Processing
Billing & Invoicing
Check Processing
Collections Management
Online Payment Processing
Overpayment Processing
Partial Payments
Receivables Ledger
Recurring Billing

Categories and Features

Accounts Receivable

ACH Payment Processing
Billing & Invoicing
Check Processing
Collections Management
Online Payment Processing
Overpayment Processing
Partial Payments
Receivables Ledger
Recurring Billing

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