Accounts Receivable Automation: A Complete Guide
ScienceSoft applies 16 years of experience in corporate finance software development to introduce seamless automation of accounts receivable processes.
Accounts Receivable Automation: the Essence
Accounts receivable (A/R) automation is a way for companies to eliminate manual efforts across all A/R-associated workflows, from bookkeeping to cash inflow forecasting to debt recovery. Accounts receivable automation software helps companies effectively manage customer invoicing, receivables tracking, and collection procedures.
A/R automation solutions integrate with CRM, general ledger software, cash management software, and payment gateways. The implementation of accounts receivable automation may take 8–12+ months. Average costs for building accounts receivable automation software range from $140,000 to $400,000, depending on the solution complexity.
ROI for accounts receivable automation can reach up to 390%.
Main Use Cases of Accounts Receivable Automation
A/R bookkeeping
Automate 90%+ of enterprise-wide A/R transaction capture, processing, and recording tasks and achieve 3x+ increase in the A/R team productivity.
Invoicing
Get automated invoice creation and submission to customers to drive 2–3x faster invoicing cycle and eliminate manual billing errors.
Payment processing
Provide customers with seamless digital payment experience and rely on automated payment processing to benefit from 30% improvement in timely cash inflow and get 100% visibility of paid invoices.
Debt collection
Employ AI to leverage fully automated planning, execution, control, and optimization of personalized collection strategies. It brings 25–75% cut in past-due receivables and helps speed up debt recovery.
CRM
- To upload automatically sales orders and quotes from CRM to A/R automation software and enable input of relevant data when generating invoices.
- To upload automatically real-time data on paid/open invoices from A/R automation software to CRM to match payments received/dunning or payment delay details to the appropriate CRM records.
General ledger software
To upload automatically data on invoices paid/due/overdue from A/R automation software into the general ledger application to provide relevant data for financial close and financial reporting.
Cash management software
To upload automatically data on the amounts received across a company’s multiple bank accounts from cash management software into A/R automation software for faster invoice reconciliation.
Customer portal
- To upload automatically up-to-date customer personal info, billing address, payment methods, subscription details from a customer portal to A/R automation software for accurate and timely invoicing.
- To upload automatically invoices from the A/R automation solution to the customer portal to enable customers to pay invoices via the portal and view their invoice and transaction history.
BI tool
To upload automatically data on the amounts received, due and overdue, and customer interactions on debt collection from A/R automation software to the BI tool to create reports on the forecasted A/R performance.
Real-time A/R data collection
To enable high visibility into the current status of the money owed to an organization (paid/partially paid/due, etc.) and ensure timely actions on debt collection.
Fully automated invoice generation
To eliminate manual errors in invoices and ensure rapid invoice creation for timely submission to customers.
ML-powered A/R forecasting
To predict accurately various A/R parameters (e.g., expected payment dates on invoices, or total accumulated customer debt at a specific date in the future) based on historical customer behavior and payment data analysis.
AI-enabled digital assistant
To automatically capture customer promises to pay from emails, messages, recorded calls, provide automated A/R reconciliation, and recommend optimal actions, time and communication channels for proactive debt collection.
A Featured A/R Automation Success Story by ScienceSoft

StreamServe invoice management software for a mobile operator with 5 mln clients
- Template-based generation of customer invoices.
- Designing custom invoice templates and adding marketing materials to invoices.
- Invoice e-signing.
- Automated invoice submission to clients via email.
Customer’s benefit: Faster invoice generation and processing, reduced DSO.
1
Business needs analysis and eliciting requirements for A/R digitalization.
2
Designing the feature set, architecture, and tech stack for the A/R automation system.
3
Project planning: deliverables, KPIs, duration, budget, team, etc.
4
Custom A/R automation software development.
5
Quality assurance in parallel with coding.
6
A/R data migration (from spreadsheets or a previously used accounting tool).
7
Establishing integrations with the required internal and third-party systems.
8
User training.
9
Continuous support and evolution of the automated A/R solution (optional).
ScienceSoft’s Tech Stack for Accounts Receivable Automation
Programming languages
Back end
Practice
19 years
Projects
200+
Workforce
60+
Our .NET developers can build sustainable and high-performing apps up to 2x faster due to outstanding .NET proficiency and high productivity.
Practice
25 years
Projects
110+
Workforce
40+
ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.
Practice
10 years
Projects
50+
Workforce
30
ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.
Practice
10 years
Workforce
100
ScienceSoft delivers cloud-native, real-time web and mobile apps, web servers, and custom APIs ~1.5–2x faster than other software developers.
Practice
16 years
Projects
170
Workforce
55
ScienceSoft's PHP developers helped to build Viber. Their recent projects: an IoT fleet management solution used by 2,000+ corporate clients and an award-winning remote patient monitoring solution.
Practice
4 years
ScienceSoft's developers use Go to build robust cloud-native, microservices-based applications that leverage advanced techs — IoT, big data, AI, ML, blockchain.
Front end
Practice
21 years
Projects
2,200+
Workforce
50+
ScienceSoft uses JavaScript’s versatile ecosystem of frameworks to create dynamic and interactive user experience in web and mobile apps.
Front end Javascript frameworks
Practice
13 years
Workforce
100+
ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.
Workforce
80+
ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.
By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.
Mobile
Practice
16 years
Projects
150+
Workforce
50+
ScienceSoft’s achieves 20–50% cost reduction for iOS projects due to excellent self-management and Agile skills of the team. The quality is never compromised — our iOS apps are highly rated.
Practice
14 years
Projects
200+
Workforce
50+
There are award-winning Android apps in ScienceSoft’s portfolio. Among the most prominent projects is the 5-year-long development of Viber, a messaging and VoIP app for 1.8B users.
Practice
11 years
Projects
85+
Workforce
10+
ScienceSoft cuts the cost of mobile projects twice by building functional and user-friendly cross-platform apps with Xamarin.
ScienceSoft uses Cordova to create cross-platform apps and avoid high project costs that may come with native mobile development.
ScienceSoft takes the best from native mobile and web apps and creates the ultimate user experience in PWA.
Practice
8 years
Projects
300+
ScienceSoft reduces up to 50% of project costs and time by creating cross-platform apps that run smoothly on web, Android and iOS.
Desktop
Practice
34 years
Workforce
40
ScienceSoft's C++ developers created the desktop version of Viber and an award-winning imaging application for a global leader in image processing.
Practice
4 years
Workforce
40
We used Qt to deliver a cross-platform desktop app for a global leader in image processing, a desktop version of Viber, VoIP messenger with over 1 billion users, and an anti-procrastination app acknowledged by The Daily Telegraph and BBC.
Practice
19 years
Projects
200+
Workforce
60
Our C# developers created the world’s largest PLM software. Their recent projects: development of SaaS for vCIO services management and underwriting software for a global aviation insurer.
Practice
15 years
Workforce
~40
We have delivered WPF-based solutions for a leading market research company and a global leader in image processing.
Practice
10 years
Workforce
30
We use Python for rapid development of cross-platform desktop apps.
Databases / data storages
SQL
Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.
We’ve implemented MySQL for Viber, an instant messenger with 1B+ users, and an award-winning remote patient monitoring software.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
NoSQL
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led to 100x faster data processing.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
Cloud databases, warehouses and storage
AWS
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Azure
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
Big data
By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.
A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led to 100x faster data processing.
We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Platforms
Practice
14 years
Projects
25+
Workforce
10+
A certified Microsoft partner, ScienceSoft creates CRM and ERP solutions powered by Dynamics 365 and optimizes most effectively a range of business operations.
Projects
10+
ScienceSoft achieves at least 20% increase in sales and 30% improvement in case resolution with well-thought-out and business-tailored Salesforce solutions.
Practice
11 years
Projects
20+
Workforce
10+
A certified Adobe Solution Partner, ScienceSoft builds on robust functionality of Adobe Commerce to create highly automated and scalable ecommerce solutions.
Practice
15 years
Projects
100+
Workforce
20+
Solid expertise in SharePoint services has earned ScienceSoft a place in Clutch’s list of Top SharePoint Developers in 2023.
Practice
12 years
A certified ServiceNow partner, ScienceSoft offers a proprietary 4-level implementation model that helps deliver the best value from ServiceNow adoption.
Practice
7 years
ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.
Accounts receivable automation costs vary from $140,000 to $400,000, depending on the automation solution complexity and the scope of integrations.
Want to know the cost of your A/R automation solution?
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You need accounts receivable management software providing specific features, for example, creating priority rules for payment and collection queues based on your specific trade credit and collection policies. |
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You need specific integrations with your existing corporate software, which ready-made accounts receivable automation solutions can provide only via costly and time-consuming customization. |
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You need a highly scalable accounts receivable automation solution that allows continuous evolution and functionality extension when needed. |
Accounts receivable automation consulting
- Accounts receivable automation needs analysis.
- Assessment of the existing invoicing and payment processing tools and their integration points (if any).
- Suggesting the optimal A/R automation software features, architecture, tech stack, and integrations.
- Creating a business case, including cost and time estimates.
- Delivering an implementation roadmap and risk management plan.
Accounts receivable automation implementation
- Accounts receivable automation needs analysis.
- Accounts receivable solution conceptualization.
- Architecture design.
- Accounts receivable automation software development.
- Integrating the automation solution with the required systems.
- Quality assurance.
- User training.
- After-launch support and evolution.
Our Customers Say
The invoicing system created by ScienceSoft automates data integration from different sources, invoice generation, and provides visibility into the invoicing process. We have already engaged ScienceSoft in supporting the solution and would definitely consider ScienceSoft as an IT vendor in the future.
Heather Owen Nigl, Chief Financial Officer, Alta Resources
About ScienceSoft
ScienceSoft is a global IT consulting and software development company headquartered in McKinney, Texas. Since 2007, we design and develop effective accounts receivable automation software tailored to each client's unique credit and cash collection strategies. Being ISO 9001 and ISO 27001 certified, we apply a mature quality management system and guarantee that cooperation does not pose any risks to our customers' data security.