How Arsalan Faysal re-engineered a fragmented $6M AUD event furniture hire pipeline in Australia—eliminating administrative double-entry, automating crew availability tracking, and syncing field data directly to enterprise payroll APIs.
Our client, **Elysian Space Rentals**, is a rapidly scaling Australian B2B specialty furniture and design-led decor hire enterprise operating across Sydney, Byron Bay, and the Hunter Valley/Newcastle corridor. Generating $6M AUD and growing fast toward a target of $10M AUD, the company executes 25 to 75 complex hire orders per week, ranging from high-end corporate experiences to large-scale, multi-truck outdoor productions.
While their front-end sales engine was healthy, their operations team was in a management capacity crisis. A single delivery manager was spending approximately 98% of his workweek manually entering job data, chasing part-time crew for weekly availability, building spreadsheets, and manually re-entering payroll schedules into **ADP Workforce Now**.
The cost of this massive operational drag? Total lack of scale. Deliveries were late, inventory records drifted, and senior coordinators spent their entire week chasing temporary labor on SMS rather than optimizing route logistics.
"An enterprise logistics pipeline cannot run on copy-pasted spreadsheets and manual phone chasing. We need an integrated, serverless solution connecting inventory with dispatch and compliance payroll."
I led an 8-week build to deliver a scalable operating system using n8n for orchestration and GHL for the CRM layer. By connecting RW Elephant order webhooks, designing a mobile crew portal, and automating payroll pushes, we saved 25+ hours weekly.
Before deploying custom code, we initiated a forensic workflow audit. We shadowed their dispatch managers, tracing how raw booking details left their warehouse. The findings were staggering: managers spent over 35 hours weekly manually copying dates, item dimensions, and addresses between three disconnected systems—completely locking their focus in manual data-entry.
Spent on manual scheduling and copy-pasting.
Delay in receiving WooCommerce checkout data.
Manually texted weekly to log availability.
Resulting in costly weekly compliance fees.
Flat spreadsheets cannot scale complex, multi-site logistics workflows. I restructured their HubSpot database, mapping unique transaction details (such as order volumes, driver assignments, and payroll shift logs) to separate, custom child-objects.
| Custom Property Key | Mapped Database Object | Data Type | Automation / Segment Logic |
|---|---|---|---|
logistics_truck_capacity |
Trucks (Custom Object) | Number | Defines maximum load parameters to prevent over-packing |
crew_availability_status |
Crew (Staff Records) | Dropdown Select | Auto-captured weekly via zero-login mobile portal |
assigned_driver_id |
Shifts (Custom Object) | Single Line Text | Bidirectionally links active routes with validated driver profiles |
adp_payroll_sync_state |
Invoices (Finance) | Dropdown Select | Must equal SYNCHRONIZED prior to closing weekly ledger |
Physical items like chairs and modular dining tables compress and stack heavily during transport. Standard list tools fail to represent this. We designed a custom volumetric density algorithm inside their database to calculate true truck space footprints.
When a booking is confirmed, the RW Elephant API pushes product dimensions to HubSpot. The system extracts raw item height, base footprint, and maximum stacking height parameters dynamically.
The algorithm divides order quantities by each product's specific Stack Factor. A 100-chair order stacking 10-high is correctly mapped to a 10-unit floor footprint, ensuring accurate truck space allocation.
Chasing part-time employees for availability consumes massive administrative time. We built a mobile-first, zero-login portal allowing crew to log schedules in under 10 seconds, paired with Dialpad SMS confirmation loops.
Every Wednesday, an n8n webhook sends a unique, encrypted link via SMS to the crew. Clicking the link logs them into their personal portal instantly—bypassing password friction and collecting schedules with 100% compliance.
If a crew member declines a shift or fails to respond within 4 hours, n8n automatically flags the shift as "Unassigned" and broadcasts an open-shift alert to qualified backup crew in the area.
Manually re-keying shift data into payroll software introduces expensive data-entry errors. I developed a secure n8n integration that programmatically pushes verified timecards directly to the ADP Workforce Now API.
The n8n middleware manages secure API authorization, automatically executing encrypted key handshakes with ADP servers prior to processing any financial transaction data.
Every Monday morning, our database compiles the previous week's verified crew shifts, normalizes the hours into ADP's timecard payload format, and pushes the data directly to their payroll system.
Enter your average weekly order volume and typical delivery distance below to see how our volumetric packing and automated crew dispatch loops optimize your monthly fleet margin.
Based on our verified 92% scheduling time reduction (25 hours saved/week) and optimized route density.
Audited all fragmented accounts. Delivered a full architecture diagram and automation roadmap.
Connected Meta/TikTok suites. Set up Linktree-style routing and lead capture tracking.
Built GHL calendar automation and the OpenAI script engine. Integrated with Canva API.
Go-live with unified reporting. 4 new businesses are already scaling using this exact blueprint.
“Arsalan completely re-engineered our operational database. For the first time in our history, our sales pipelines, packing logistics, and crew payroll communicate in real-time. The reduction in manual admin work has restored our manager's capacity to lead.”
— TAYLOR MCMULLEN (CEO & CO-FOUNDER, AUSTRALIAN REGION)
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