Tiếng Việt
日本語This Odoo logistics case study Vietnam covers a B2B logistics company with 60 employees, running 3 warehouses and processing 200 orders a day a company that used to lose 3 hours daily just for a dispatcher to confirm truck status over Zalo chat. After 6 months on Odoo, they cut core operations time by 50%. This is the most detailed case study Sonix has ever published: no numbers hidden, nothing glossed over.
Table of Contents
💡 Core insight: this company’s biggest operational problem wasn’t a lack of technology it was using the right tool (Zalo, phone calls) for the wrong job (coordinating 200 orders a day).
ODOO LOGISTICS CASE STUDY
Odoo logistics case study Vietnam: customer profile – 60 people, 3 warehouses
The customer in this case study is a B2B logistics company in Vietnam with 60 employees, running 3 warehouses in parallel and processing an average of 200 orders a day. This is a typical size for growing logistics SMBs large enough that manual coordination starts creating real risk, but not yet at the budget level for a dedicated, expensive TMS (Transportation Management System).
60
Employees
3
Warehouses running in parallel
200
Orders per day
THE PROBLEM
Dispatch over Zalo, manual tracking, customers calling with no answer
Before implementing Odoo, the entire dispatch process ran through a Zalo group chat. Dispatchers assigned orders to drivers by text message, tracked delivery progress by asking around manually, and had no real-time tracking system at all to know where an order actually was.
The direct result: dispatchers spent roughly 3 hours a day just texting back and forth to confirm truck status. When customers called to ask where their delivery was, customer service staff often couldn’t answer right away because they had to ask the dispatcher, who then had to ask the driver over Zalo.
⚠️ Warning sign: once order volume passes roughly 150–200 orders a day while dispatch still relies entirely on group chat, errors and delays grow exponentially not because drivers or dispatchers are doing a bad job, but because the tool no longer fits the scale of operations.
THE SOLUTION
A 3-phase Odoo rollout
Instead of implementing the entire system at once, Sonix and the customer agreed on a 3-phase roadmap, with each phase solving one specific bottleneck before moving to the next.
RESULTS AFTER 6 MONTHS
Cutting operations time by 50% the real numbers after 6 months
This is the part most case studies leave vague. Below are the actual measurements, before and after all 3 phases were fully live:
-75%
Dispatch time
(3h → 45 min)
91%
On-time delivery
(up from 62%)
-4h/day
Admin time per dispatcher
| Metric | Before Odoo | After 6 months |
|---|---|---|
| Dispatch time per order | ~3 hours (via Zalo) | ~45 minutes (automated dispatch + GPS) |
| On-time delivery rate | 62% | 91% |
| How customers track orders | Phone call, wait for staff to confirm | Automatic real-time notification |
| Admin time / dispatcher / day | Baseline | Reduced by 4 hours/day |
*Figures provided by the customer and recorded by Sonix during implementation and post-go-live support.
LESSONS
Lessons for other logistics SMBs
The most notable thing about this Odoo logistics case study isn’t the technology it’s the sequencing. The company didn’t try to build fleet tracking (the most complex and expensive piece) first. They fixed the foundation (Inventory) first, then automated purchasing (Purchase), and only integrated GPS tracking once the first two phases had stabilized.
For Vietnamese logistics SMBs facing the same situation manual dispatch, no order visibility, customers complaining about lack of updates this is concrete proof the problem is solvable within 6 months, with a clear phased roadmap instead of overhauling the entire system at once.
This trend also lines up with broader industry data: according to McKinsey, logistics companies that digitize their dispatch processes tend to see meaningfully better on-time delivery rates and much lower manual processing time compared with competitors still running fully manual operations.
SUMMARY
Key Takeaways – Odoo Logistics Case Study
| Takeaway | What it means for you |
|---|---|
| Group-chat dispatch tops out around 150 orders/day | If you’re near or past this threshold, it’s time to move to a system |
| Roll out in phases, not one big overhaul | Lowers disruption risk and makes results measurable at each step |
| A unified virtual warehouse is the foundation, not the last step | You need accurate stock data before automating anything downstream |
| Automated customer notifications lighten the load on both sides | Customers can self-serve tracking; staff stop fielding constant calls |
| Results were measured over 6 months, not an overnight fix | Set realistic expectations for rollout timeline and time-to-ROI |
Is your logistics company facing the same problem?
This case study isn’t here to brag about numbers — it’s here to show you a real roadmap: 3 phases, 6 months, measurable results. Book a call and let Sonix map out a similar roadmap for your current operations.
💬 How many orders a day is your team handling? Comment below — or book a free consultation today.
Sonix — Your success is our happiness.
Leave us your comment