CASE STUDIES
Case Studies
Real deployments. Honest results.
We publish case studies on completed deployments where we have permission to share data and where the results are representative. We do not cherry-pick. Where deployments have underperformed initial projections, we include the context. Automation is not a panacea, and we think you deserve an accurate picture.
Case Study 1, Regional Distribution Center (Warehousing & Logistics)
| Field | Detail |
|---|---|
| Client | Midwest Regional 3PL. |
| Industry | Warehousing & Logistics. |
| Key Result | 34% reduction in picker travel time; 22% throughput increase. |
| Deployment | 12 mid-range AMRs across a 180,000 sq ft facility over 8 weeks. Integrated with existing WMS. |

Background
A third-party logistics provider operating a mixed SKU fulfillment center faced chronic understaffing on second and third shifts. Manual cart pushing accounted for an estimated 40% of picker labor hours.

Deployment
12 mid-range AMRs were configured to handle goods-to-person transport between storage zones and pick stations. WMS integration was completed in 6 weeks via standard API connector.

Results (Months 1–6)
- Average picker travel time fell 34%.
- Overall order throughput increased 22%.
- Picker satisfaction scores improved; workers reported less physical fatigue.
- Robot utilization averaged 84% across the fleet in steady-state operation.
Honest Caveat: Integration with the customer’s legacy WMS required 3 weeks of custom mapping work not anticipated in the original timeline.
Case Study 2, Community Hospital (Healthcare)
| Field | Detail |
|---|---|
| Client | 150-bed Community Hospital. |
| Industry | Healthcare. |
| Key Result | 2.1 clinical staff hours recovered per shift; 99.1% delivery accuracy. |
| Deployment | 4 light-duty AMRs for medication, supply, and linen transport. Multi-floor navigation via elevator integration. |

Background
A community hospital identified that nursing staff spent an average of 2.4 hours per 12-hour shift on transport tasks unrelated to patient care, moving medications, supplies, and linens between storage areas and patient floors.

Deployment
4 light-duty AMRs were deployed across two floors with elevator integration for multi-floor runs. Infection control configuration included closed-container attachment for waste and linen transport.

Results (Months 1–6)
- Clinical staff recovered an average of 2.1 hours per shift for patient-facing tasks.
- Medication delivery accuracy was 99.1% (vs. an estimated 96.3% baseline for manual transport).
- Staff acceptance, measured by a post-deployment survey, was 82% positive after a 3-week orientation period.
Case Study 3, Upscale Hotel (Hospitality)
| Field | Detail |
|---|---|
| Client | 250-room Urban Hotel. |
| Industry | Hospitality. |
| Key Result | Guest satisfaction score +0.4 pts; housekeeping cart trips reduced 38%. |
| Deployment | 2 mid-range AMRs for amenity delivery and linen transport. |

Background
A 250-room urban hotel sought to reduce the time housekeeping staff spent transporting linens and amenity orders between floors and service areas, and to create a differentiated guest experience for in-room delivery
requests.
requests.

Deployment
2 mid-range AMRs handled amenity delivery (F&B orders, toiletries, rollaway requests) and linen transport between laundry and floor linen closets. Elevator integration was required and installed in 2 weeks.

Results (Months 1–6)
- Housekeeping cart transport trips reduced 38%.
- Overall order throughput increased 22%.
- Guest satisfaction scores (in-stay survey, delivery category) improved by 0.4 points on a 5-point scale.
- Housekeeping staff reported meaningful relief from physical transport workload.
Honest Caveat: Robot novelty generated high guest interaction in the first 8 weeks, including some instances of guests blocking robots in corridors. This stabilized naturally by week 10. Long-term satisfaction correlates with reliability, not novelty.

