Case study
How a specialty food distributor improved AR collections with AI
A specialty food distribution company implemented Squirrels.ai to automate accounts receivable outreach, improve payment visibility, and reduce the manual effort required to manage overdue invoices.
With a large customer base ranging from restaurant operators to major distributors, the company needed a more scalable approach to payment follow-ups while protecting important customer relationships. By introducing AI-powered collections workflows, the company gradually improved outreach consistency, prioritized complex cases, and enabled its AR team to focus on higher-value activities.
High-volume outreach
automated calls, emails, and texts for overdue accounts
Smarter collections
payment responses tracked and prioritized automatically
Better visibility
real-time dashboard for AR status and follow-ups
Overview
A specialty food distribution company serving restaurants, food service businesses, and larger distribution partners faced challenges managing accounts receivable across a diverse customer base.
The company operated in a relationship-driven industry where maintaining strong customer partnerships was critical. While some customers required regular payment reminders, others involved more complex situations such as missing invoices, payment deductions, or product-related disputes that required human review.
The AR process relied heavily on manual communication, with a limited internal team responsible for monitoring overdue invoices, contacting customers, and resolving payment-related questions. As customer volume increased, maintaining consistent follow-ups became more difficult.
The company partnered with Squirrels.ai to introduce an AI-powered AR Collections agent that could automate routine payment outreach while allowing the team to maintain control over sensitive customer conversations.
The implementation followed a phased approach, beginning with data preparation and selective outreach. By gradually introducing AI into the collections workflow, the company was able to improve efficiency without disrupting existing customer relationships.
Client at a glance
Industry
Specialty food and seafood distribution
Primary challenge
Managing overdue invoice follow-ups while maintaining customer relationships
Business model
B2B distribution serving restaurants, food service providers, and distributors
AI solution implemented
AI-powered AR collections automation and customer payment outreach
AR operations
High-volume customer payment tracking and collections activities
The challenge
Manual AR follow-ups limited scalability
The company managed a large number of customers with different payment behaviors and requirements.
While some accounts required simple payment reminders, others involved multiple conversations regarding invoices, deductions, or account details. Managing these interactions manually required significant time from the AR team and limited their ability to focus on higher-priority activities.
As the number of overdue accounts increased, the company needed a more consistent process for handling routine follow-ups without adding additional administrative workload.
Complex customer disputes required careful handling
Unlike simple invoice reminders, many AR situations involved additional context.
Customers could raise concerns related to:
- Missing invoices
- Billing discrepancies
- Product quality issues
- Short payments
- Delivery-related deductions
The company recognized that not every account could be handled through automated reminders alone. Complex situations required human judgment and careful communication to protect customer relationships.
The challenge was finding a balance between automating repetitive tasks and ensuring sensitive issues received appropriate attention.
Customer relationship risks with automation
A significant portion of the company’s business came from large distribution partners where relationships were highly valuable.
The company needed to be selective about which customers received AI-driven outreach. Contacting strategic accounts incorrectly or without proper filtering could create unnecessary risk.
The solution needed to support targeted outreach based on customer groups, payment status, and business priorities.
Data quality affected collections efficiency
Before implementing AI, the company identified several data challenges that impacted collection effectiveness.
Examples included:
- Missing invoice information
- Unresolved deductions
- Payment discrepancies
- Accounts requiring reconciliation before outreach
The team understood that successful automation required clean and accurate data. Sending reminders for incorrect balances or unresolved disputes could negatively impact customer trust.
Limited resources for AR management
A small internal team managed AR responsibilities alongside other operational priorities.
Because collections required repeated calls, emails, and follow-ups, automation offered an opportunity to reduce repetitive work while allowing employees to focus on accounts requiring personal attention.
The solution
Squirrels.ai implemented an AI AR Collections agent designed to support the company’s existing collections process.
The goal was not to replace the AR team but to automate repetitive communication and provide better visibility into customer payment activity.
Selective customer outreach
The company introduced AI outreach with a targeted approach.
Instead of contacting every customer automatically, accounts could be filtered based on business requirements. This allowed the company to exclude sensitive accounts and focus automation efforts on customers where AI communication created the most value.
This approach helped protect important customer relationships while improving collections efficiency.
Automated multi-channel communication
The AI agent managed payment reminders through multiple communication channels, including calls, emails, and text messages.
The system followed customized outreach sequences designed around the company’s communication preferences.
If a customer responded, the outreach sequence stopped to prevent unnecessary follow-ups.
This created a more respectful customer experience while ensuring overdue accounts received timely attention.
AI-powered response tracking
The AI agent captured customer responses and categorized conversations based on outcomes.
Examples included:
- Promise to pay
- Payment completed
- Invoice questions
- Disputes requiring review
- No response
These interactions were recorded in a centralized dashboard, allowing the AR team to quickly understand account status and determine the next action.
Human escalation for complex cases
The company maintained human involvement for situations requiring judgment.
When customers raised detailed disputes or account-specific concerns, the AI flagged these conversations for review instead of attempting to resolve complex issues independently.
This approach ensured automation supported the team while preserving relationship quality.
ERP integration and data synchronization
The company explored connecting its existing ERP environment with Squirrels.ai to improve data accuracy and reduce manual preparation.
The integration approach allowed AR information to flow into the AI workflow while ensuring outreach was based on updated invoice and customer data.
Before full deployment, the company focused on preparing clean, actionable data to improve automation accuracy.
Pilot-based implementation
The company adopted a cautious rollout strategy by starting with a pilot program.
This allowed the team to test AI communication, review customer responses, refine workflows, and measure effectiveness before expanding usage.
The phased approach helped build internal confidence and ensured the technology aligned with existing AR processes.
Results and impact
The implementation of Squirrels.ai created progressive improvements across the company’s AR operations.
The company began with targeted automation and gradually expanded AI usage as workflows became more refined and internal teams gained confidence in the system.
Reduced repetitive AR workload
The AI agent gradually took over routine payment reminders that previously required manual calls, emails, and texts.
This allowed the AR team to spend less time managing repetitive communication and more time handling complex accounts, customer questions, and reconciliation activities.
More consistent payment follow-ups
Automated outreach created a structured process for overdue invoice communication.
Customers received timely reminders based on predefined workflows, reducing the chances of accounts being overlooked due to limited staff availability.
Improved collections visibility
The dashboard provided clearer insight into collection activity and customer responses.
The team could quickly identify accounts that required attention, monitor payment commitments, and track unresolved issues without manually reviewing every conversation.
Better protection of customer relationships
By using selective outreach and human escalation, the company maintained control over sensitive customer interactions.
Strategic accounts and complex disputes continued receiving personalized attention, while routine reminders were handled efficiently through AI.
Scalable AR operations
The company established a foundation for managing future growth without significantly increasing administrative workload.
As customer volume changes, the AI workflow provides additional support while allowing the AR team to remain focused on higher-value responsibilities.
TESTIMONIAL
Why organizations choose Squirrels.ai
Squirrels.ai helps businesses automate accounts receivable communication while maintaining customer relationships and human oversight.
Organizations use Squirrels.ai to:
- Automate payment reminders through calls, emails, and texts
- Track customer responses in real time
- Improve collections visibility
- Reduce repetitive AR tasks
- Customize outreach workflows
- Prioritize accounts requiring human attention
- Integrate AI with existing business systems
- Support teams without increasing headcount
- Scale collections operations efficiently
Improve AR efficiency, automate payment follow-ups, and give your team more time for high-value customer interactions.