Who they are
Avian Brands is a leading Indonesian paint manufacturer that serves 56,000 stores through 139 distribution centers, moving around 15,000 deliveries a day.
All case studies
03 / Case study · Avian
Transport Management System
Connecting dispatch to the last delivery.
What they set out to do
Avian wanted faster, more reliable deliveries from its 139 distribution centers, with routing, tracking and proof of delivery that cut cost and error across 15,000 daily deliveries.
The problem they were living with
Avian’s distribution network made fleet allocation and delivery routing hard to manage. Dispatch teams needed an overview of work in progress, while drivers needed clear tasks and a reliable way to record completed deliveries.
What it was costing them. A complex distribution network was producing delivery delays and inefficient fleet allocation, and manual routing errors by drivers disrupted timely delivery of paint and equipment to stores.
What changed
- Logistics costs reported 40% lower with AI route optimization
- Deliveries reported 20% faster with real-time routing
- Route effectiveness reported up 80% with smart assignments
- Fewer delivery errors with photo proof of delivery
Drivers confirm each handoff with a photo, so disputes and re-deliveries drop.
- Dispatchers plan ahead with predictive demand insights
Outcomes as recorded in the QuantumByte enterprise case-study portfolio (2025). The percentages are the engagement’s own reporting, not an independent audit.
Designed solutions
What we designed for Avian’s people.
Route optimization
Dispatchers get delivery paths that account for changing traffic conditions.
Smart order grouping
Orders are grouped and matched to suitable vehicles, so trucks leave with better loads.
Dispatcher dashboard
One logistics overview shows active work, completed tasks, driver activity and the day’s delivery status.
Driver task application
Drivers see a focused list of the deliveries assigned to them on their phone.
Digital proof of delivery
Photo-based confirmation gives operations an accountable record of every handoff.
Tracking and planning insights
Live delivery tracking and predictive demand insights support dispatch visibility and planning.
The workflow
How the work flows now.
Group the work
Dispatchers collect orders and match the load to available vehicles.
Plan the routes
Delivery paths are created from the operating conditions.
Dispatch to drivers
Assignments go into the driver task workflow.
Track execution
Dispatchers follow the delivery state from their view.
Close the loop
Drivers record delivery evidence and the operational data feeds later planning.
The interfaces
A closer look at what the team uses.
Where else this applies
The same approach, in other industries.
| Industry | Fit | Why |
|---|---|---|
| Paint and coatings | High | Optimized logistics and demand forecasting drive efficiency and sales. |
| Construction materials | High | Real-time routing improves supply-chain speed and accuracy. |
| Home improvement retail | High | Efficient deliveries keep stock available in stores and customers satisfied. |
| Manufacturing | Medium | Streamlined distribution supports production, though adoption varies by plant. |
| Agriculture | Emerging | Better logistics support supply chains, but scale limits uptake. |
Kevin’s part
Kevin led delivery with the Quantum team: the dispatcher dashboard, the driver application and the order-to-delivery workflow.
How I think about work like this
Working on something like Avian’s?
Tell me where the workflow breaks today and who carries it. I’ll tell you what the smallest useful slice would be, and whether I’m the right person to build it.