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Work · Logistics · Kathmandu
We rebuilt an internal ordering and dispatch system, automating the manual steps that slowed every order.
The pipeline we shipped
4 stages
Stage 01 · Order
We mapped the full order lifecycle first — including the phone calls nobody had written down.
Orders moved through spreadsheets and email, with constant re-keying, lost updates, and no visibility for managers.
We mapped the full order lifecycle, rebuilt it as a single web platform, and automated reconciliation, status updates, and dispatch notifications.
Manual processing dropped by well over half, managers gained real-time visibility, and the team redeployed hours each day to customer service.
This one started as a mess of spreadsheets and email threads. Orders were re-typed by hand between systems, updates got lost, and managers had no clear view of where anything stood. The fix was not a bigger spreadsheet: it was rebuilding the whole order lifecycle as a single platform with the manual steps automated. Follow one order through the rebuilt flow below.
Follow one order from inbox to delivery. Tap a stage to see what the rebuild automated.
An order arrives
Before the rebuild, orders came in by email and were re-typed into spreadsheets. Now a single web platform captures each order once, at the source, with no re-keying.
The step that quietly ate the most time was reconciliation: matching each order against stock and prior records by hand, every day. Automating it removed the biggest bottleneck and was the largest single contributor to cutting manual processing time by 58%. The people who used to do that matching moved to customer service instead.
It is a single Next.js web application over a PostgreSQL database, with automation pipelines handling the reconciliation, status updates and dispatch notifications, running on AWS. Each order is written once at the source and every state change is recorded in one place, which is what gives managers real-time visibility and keeps the audit trail clean. The point was not clever technology for its own sake, but removing every place a person had to copy data from one system into another.
This rebuild cut manual processing time by 58%. Flip the switch to see the difference, then set your own baseline to estimate the gap.
After rebuild
7.6 min
per order
10.4 min saved
The 58% reduction in manual processing time and the 3x faster turnaround are results delivered on this engagement. The per-order estimate is illustrative and depends on your own volume and workflow.
Client
Logistics operator
Sector
Logistics · Kathmandu
Service
Flow Automation
Kind
case study
Headline result
58% · Less manual processing
Handover
Documented, tested code in your repository
What did the rebuild actually change?
Orders used to move through spreadsheets and email with constant re-keying and lost updates. We replaced that with a single web platform that captures each order once and automates reconciliation, status updates and dispatch notifications, so the manual steps that slowed every order are gone.
Where did the 58% saving come from?
Mostly from removing the manual work: no re-typing orders between systems, no chasing status by email, and automatic reconciliation instead of matching by hand. Manual processing time dropped by well over half, and order turnaround got about three times faster.
How does the team have zero lost orders?
Because every order lives in one system with a single record and an automatic dispatch trigger, nothing falls between a spreadsheet and an inbox. Managers also get real-time visibility, so an order can no longer quietly go missing.
Related service
Let the repetitive work run itself.
Related reading
Related reading
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