Company Profile
Company Type
Last-mile delivery service
Team Size
20-100 employees
Industry
Logistics
Key Challenge
Struggling with inefficient manual compliance checking processes that were slowing growth and increasing operational costs. Their primary concern was delivery time accuracy.
Tools Connected
The Challenge
Manual compliance checking was the biggest bottleneck in this last-mile delivery service's operations. Their team of 20-100 employees processed hundreds of compliance checking requests weekly, each requiring multiple steps, cross-referencing against logistics-specific requirements, and coordination between departments. The average compliance checking request took 45 minutes to complete manually, and the backlog was growing by 15% each quarter.
Beyond the time drain, the quality of their compliance checking output was inconsistent. Different team members followed different procedures, and there was no standardized way to handle edge cases that are common in logistics. A recent audit revealed that 12% of completed compliance checking records contained errors that required rework — costing the organization an additional $50K annually in correction and remediation efforts. The leadership team recognized that continuing to throw people at the problem wasn't viable and began searching for an AI-powered solution.
The Solution
Arahi AI provided the automation backbone this logistics team needed. They deployed a multi-agent workflow that breaks the compliance checking process into discrete, automated steps — each handled by a specialized AI agent. The first agent monitors triggers from ShipStation and Google Sheets. The second agent analyzes and processes incoming requests using logistics-specific business logic. The third agent executes actions across connected tools and notifies team members via Airtable.
The beauty of the no-code approach was speed of implementation. The team had their first agent live within 90 minutes, and the full compliance checking workflow was operational within a single afternoon. They used Arahi AI's template for logistics compliance checking as a starting point, customized the business rules to match their specific process, and connected their existing tool stack without writing a single line of code. Within the first week, the agents had processed over 200 compliance checking instances with 99%+ accuracy — more than the team typically handled in a month.
The Results
Measurable improvements across key logistics compliance checking metrics.
Audit Preparation Time
93% faster
Before
3-4 weeks
After
< 2 days
Compliance Check Coverage
100% coverage
Before
60% of operations
After
100% continuous
Violation Detection Speed
From weeks to seconds
Before
Found during quarterly audit
After
Real-time alerts
Compliance Cost
85% savings
Before
$120K/year (consultants)
After
$18K/year (AI + oversight)
Regulatory Penalty Risk
Risk eliminated
Before
High (3 near-misses last year)
After
Low (zero findings)
“Before Arahi AI, our compliance checking process was the bottleneck that every logistics team complained about. Now it's our competitive advantage. We process faster, more accurately, and at a fraction of the cost. Our competitors are still doing this manually.”
Head of Strategy
Last-mile delivery service
Key Takeaways
The most important lessons from this logistics compliance checking automation project.
Automating compliance checking in logistics delivered immediate, measurable results: faster processing, higher accuracy, and lower costs.
The key to success was connecting existing logistics tools to AI agents rather than replacing the entire tech stack.
24/7 automated processing eliminated backlogs and ensured consistent service quality regardless of volume fluctuations.
Starting with a pre-built template and customizing for logistics-specific requirements dramatically reduced time-to-value.
Implementation Timeline
From zero to production in Half a day — here's how they did it.
Step 1: Mapped the existing compliance checking workflow
Documented every step of the current manual compliance checking process, including decision points, exceptions, and handoffs between team members. Identified which steps could be fully automated versus those needing human oversight.
Step 2: Built the automation in Arahi AI
Used Arahi AI's no-code builder to create the compliance checking workflow: connected ShipStation and UPS API as data sources, configured AI decision logic for logistics-specific requirements, and set up automated actions and notifications.
Step 3: Parallel run with manual process
Ran the AI agents alongside the manual process for one week to compare outputs. The AI matched or exceeded human accuracy on 98% of compliance checking instances, with the 2% of edge cases automatically flagged for human review.
Setup Time
Half a day
AI Agents
3 AI agents
Tools Connected
5 integrations
Frequently Asked Questions
Common questions about automating compliance checking in logistics.
Related Case Studies
Explore more AI automation success stories.
More Logistics Case Studies
Compliance Checking in Other Industries
This case study represents a typical customer scenario. Individual results may vary.