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Commercial & Office Facilities


Autonomous Cleaning Solutions For Commercial & Office Facilities

Designed for multi-site portfolios — improving consistency, reducing operational complexity, and enabling scalable deployment across offices, shopping centers, and mixed-use properties.




Cleaning Challenges

- Managing cleaning quality across multiple properties and locations
- High expectations from tenants, visitors, and brand standards
- Increasing reliance on outsourced cleaning providers with limited transparency - Rising labor costs and workforce shortages



Where Traditional Approaches Fall Short

- Manual cleaning → varies significantly across sites and teams

- Outsourced services → difficult to standardize and monitor performance

- Static cleaning schedules → not aligned with real foot traffic

- On-site supervision → resource-intensive and hard to scale



How We Address These Challenges

From Portfolio Complexity to Scalable Operations

Step 1 – Site & Portfolio Assessment

We assess not only individual buildings, but also portfolio-level patterns — including tenant types, peak hours, and service expectations

Step 2 – System Design Across Sites

We define cleaning automation strategies for different asset types (offices, malls, shared spaces), ensuring consistency across locations

Step 3 – Pilot Deployment (Demo Hub → Pilot Site)

We typically start with a flagship property or high-traffic location to validate performance in real operations

Step 4 – Portfolio Rollout & Optimization

Once validated, the system can be scaled across multiple sites with centralized visibility and standardized workflows



Robotic Roles Within The System

- Large-area robots for shopping mall corridors and open office floors

- Agile units for entrances, lobbies, and mixed-use zones

- Continuous cleaning robots for high-traffic retail environments




What You Achieve

- Consistent cleaning standards across all properties

- Reduced dependency on fragmented service providers

- Portfolio-level visibility and control

- A scalable model that grows with your asset base



Typical Deployment Scenarios

A typical engagement begins with a single flagship site (e.g., a major shopping center or office hub).

This site acts as a Demo Hub, where performance, workflows, and integration are validated.



Talk To Us About Your Case

Explore how autonomous cleaning can be introduced step by step.




Talk To Us About Your Case

Explore how autonomous cleaning can be introduced step by step.


Zylor - A subsidiary Brand of GLGW.

Contact Us

Email: info@zylortech.com
             zach.zhou@glgw.com
WhatsApp: +8619858205212
Add: No.599 Qiming Road, Yinzhou District, Ningbo 315000, Zhejiang, China

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