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Case Study: How Manifest.eco cut order liability costs by 90% in 15 days
Discover how Manifest, a sustainability-minded 3PL, slashed false-claim liability by 90% in just 15 days with Rabot Vision AI.

Rabot
Content Contributor
May 27, 2025
Key results achieved with Rabot
9 out of 10 customer claims now verified with conclusive visual evidence, substantially reducing liability
Significant decrease in refunds and reshipments for false claims
36% reduction in labor costs per order YoY, enhanced labor planning through accurate, client-specific pack time analytics
Improved accountability through comprehensive visibility into the packing operations
Case Study Video link:
About Manifest.eco: Sustainable fulfillment for growing brands
Manifest.eco (manifest.eco) is a medium-sized 3PL dedicated to providing sustainable and efficient fulfillment solutions. They serve a diverse portfolio of e-commerce brands with a focus on operational excellence.
The company prides itself on maintaining high standards of accuracy and transparency for its clients, making them an ideal partner for brands looking to scale their operations without compromising on quality or sustainability.
The challenge: invisible errors and unverifiable claims
Before implementing Rabot, Manifest.eco faced critical operational blind spots:
No Visual Verification: "We've never had the ability to take a look at an order. When a customer claims something's missing, we can't prove or disprove it." - Colter Lutz, Sr. Warehouse Operations Manager
Tribal Knowledge Over Evidence: No visual record meant relying on hearsay rather than concrete proof when disputes arose
Financial Drain: Obligatory refunds and reshipments for unverifiable claims directly impacted the bottom line
Labor Planning Guesswork: "We had limited data on pack times for different clients, making labor planning a challenge." - Tristan Brown, Outbound Area Manager
The solution: Comprehensive visibility with Rabot's Vision AI
Manifest.eco implemented several key components of Rabot's Vision AI platform to address these challenges, with a seamless integration completed in less than two weeks:
Rabot Vision AI
Cameras installed at pack stations now capture the entire packing process, providing indisputable visual evidence of each order's contents before shipping.
Video Replay Feature
The ability to search and review footage of specific orders has transformed how Manifest.eco handles customer claims and internal quality control. Learn more here.
Custom Analytics Dashboards
Detailed dashboards provide insights into pack times by client, station performance comparisons, and labor utilization, enabling data-driven operational decisions.
Rabot Improvement Insights
Bi-weekly AI-generated recommendations help Manifest.eco continuously optimize their fulfillment operations, identifying opportunities for improvement before they become issues. Learn more here.
Transformative results: From guesswork to evidence-based operations
Dramatic reduction in liability
"In this case, I'm actually finding that more often than not, we are freed of liability based on the footage," shares Colter Lutz. The ability to verify 9 out of 10 customer claims with visual evidence has significantly reduced unnecessary refunds and reshipments.
Enhanced quality control
"When we know and we have camera footage of exactly what happened, it eliminates any guesswork," says Tristan Brown. This visibility has improved accountability throughout the fulfillment process and allowed for targeted training interventions.
Optimized labor planning
"I really like the insights part of it because it tells us the average pack time per client, and we're able to build out labor plans based on that," adds Tristan. This data-driven approach has led to more efficient resource allocation and improved productivity, with median labor costs decreasing year-over-year – a 36% reduction while simultaneously handling twice the order volume.
Improved customer trust
"It's helped a lot with us not having to [issue refunds] since we can go back and verify whether or not that error was our fault or not," explains Alyssa from Warehouse Merchant Operations. This verification capability has strengthened client relationships through transparent issue resolution.
Proactive performance improvement
The awareness of monitoring has naturally improved employee performance, while the ability to identify orders taking significantly longer than expected (e.g., 5 minutes versus the typical 45 seconds) allows for immediate process refinement.
Looking forward: Sustainable fulfillment, powered by AI
With Rabot's Vision AI platform now fully integrated into their operations, Manifest.eco has been able to double their order volume while reducing per-order costs by more than a third. This scalability demonstrates how Manifest.eco is positioned to continue their trajectory of sustainable growth while maintaining their commitment to quality and environmental responsibility.
As they look to the future, Manifest.eco and Rabot continue to explore new ways to leverage Vision AI technology to further enhance sustainable fulfillment operations. This forward-thinking approach ensures Manifest.eco can continue to provide exceptional service to their growing roster of clients while maintaining the accountability, transparency, and environmental responsibility that sets them apart in the competitive 3PL landscape.
In a world where consumers increasingly demand both service excellence and environmental stewardship, Manifest.eco's evidence-based approach to fulfillment proves that with the right technology partner, businesses can achieve both.
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