In the logistics industry, time really is money. When shipments are delayed or workflows are clogged, costs add up fast. That’s why one U.S.-based logistics company came to us looking for a better way to streamline their operations. They weren’t just looking for automation-they wanted hyperautomation.
In just a few months, we helped them save over $250,000 annually by combining smart AI tools, process automation, and workflow redesign.
Here’s how we did it-and what your business can learn from it.
The Challenge: Outdated Systems, Manual Processes
This logistics company was growing fast, but their backend systems weren’t keeping up. They were dealing with:
- Manual data entry between platforms
- Delays in invoice processing and delivery tracking
- Inefficient customer support handling hundreds of daily queries
- No clear dashboard to see what was happening in real time
The result? Missed deadlines, high labour costs, and frustrated customers.
Our Solution: A Hyper automation Strategy
We didn’t just automate one task-we looked at the entire system and found ways to connect and optimize everything. Here’s what we implemented:
1. Automated Order & Shipment Processing
Using RPA (robotic process automation), we automated order intake and shipment updates across their ERP, TMS (transport management system), and customer-facing tools.
Result: Fewer errors, real-time tracking updates, and 40% less time spent on logistics paperwork.
2. AI-Powered Email & Chat Support
We deployed a conversational AI chatbot and an email assistant trained on past tickets to auto-respond to common customer queries like:
- “Where’s my shipment?”
- “Can I reschedule delivery?”
- “Send me a copy of the invoice”
Result: Customer service response time dropped by 65%, and agents were freed up for complex issues.
3. Smart Invoice Matching & Processing
We connected their invoicing system with a document-reading AI that could auto-match incoming invoices to shipments, flag duplicates, and trigger payments.
Result: 90% of invoice processing was automated-saving hours of manual data entry weekly.
4. Real-Time Dashboards & Alerts
We built a simple but powerful dashboard that pulled live data from all systems. Managers could now see:
- Shipment delays
- Invoices pending approval
- Support queries by status
Result: Faster decisions, fewer surprises, and more accountability across departments.
The Outcome: $250,000+ in Annual Savings
By combining AI, RPA, and workflow automation, we helped the company:
- Cut down on labor hours (saving ~$180K/year)
- Reduce support workload (saving ~$45K/year)
- Avoid invoice and tracking errors (~$25K/year in recovery)
Total estimated savings: $250,000+ per year
But more than that-they gained efficiency, visibility, and peace of mind.
What Other Businesses Can Learn
You don’t need to be a tech giant to benefit from hyperautomation. Whether you’re in logistics, e-commerce, or manufacturing, the formula is the same:
- Identify repetitive tasks
- Use AI + automation to handle the heavy lifting
- Free your team to focus on real growth
And most importantly-start small, scale smart.