Levents × NGYN: OMS & Pick-Pack-Ship Build

OMS & Pick-Pack-Ship System

Order to door,
built for
drop-day volume.

A single operations backbone for Levents, connecting every marketplace order to a warehouse floor that can pick, pack, QC, and hand off to courier without slowing down when volume spikes.

12,000Orders / 3-hr window

25,000Order lines, same window

3Marketplaces, one queue

Waybill

Ship from: Levents Fulfillment

Double-Day Ready

Peak Order Manifest

Shopee · TikTok Shop · Amazon → Odoo OMS → Pick / Pack / QC → Motorbike Carrier

12000 ORD // 25000 LN // 03:00 HR

Queue modelAmazon SQS pattern

Pick strategyCluster / Odoo Barcode

SettlementCOD day-end match

The Brand

Levents® is a streetwear label built around fast, high-volume drops. Since launching in 2020, it has grown into one of the most followed local fashion brands in its space, with a Gen Z audience in the hundreds of thousands online and a physical retail footprint to match. Product moves quickly and in bursts, the kind of demand pattern where a single promotion day can outsell a normal week.

That pattern is the design constraint for this build: order intake, warehouse picking, and courier handoff all have to hold their accuracy at 10x normal load, not just at steady state.

What we're building

Four systems, one pipeline, sequenced the way stock actually moves through the warehouse.

01Receiving

Inbound QC

Nothing goes on the floor unchecked.

A full quality-control workflow for every inbound shipment: quantity, condition, and SKU accuracy verified before stock is released as sellable. It's the checkpoint the rest of the pipeline has to be able to trust.

Catchesmiscounts, damage, mis-labeled cartons

Outputclean, trusted on-hand inventory

02Intake

Multi-channel order queue

Shopee, TikTok Shop & Amazon in one queue.

Full order detail, including per-channel financial data, pulled from all three marketplaces into Odoo. Built on an Amazon-queue architecture engineered specifically for double-day promotion load: 12,000 orders and 25,000 order lines inside a 3-hour window, without dropped or duplicated lines.

Peak load12,000 orders / 25,000 lines / 3 hrs

PatternAmazon SQS-style queue, built for burst

03Warehouse

Cluster pick & pack

Enhanced Odoo Barcode, built for speed and accuracy.

A cluster-pick strategy layered into Odoo's barcode app lets one pass through the warehouse fill multiple orders at once, with each platform's native shipping label printed right at the pack bench, cutting travel time and pick errors together.

Strategycluster picking, multi-order passes

Printsplatform-native shipping labels at pack

04Last mile

Carrier handoff & COD reconciliation

A clean handover, closed out the same day.

Direct integration with the local motorbike carrier network for parcel handover, paired with an accurate day-end consolidation for cash-on-delivery orders, matching what shipped against what was collected before the books close.

Handofflocal motorbike carrier integration

Closesdaily COD reconciliation

How an order moves

End-to-end path, marketplace to doorstep

Source

Shopee / TikTok Shop / Amazon

Order + financial data pulled per channel

→

Absorb

Order queue

Amazon-queue pattern, sized for burst load

→

Core

Odoo OMS + Inventory

Single source of truth across channels

→

Fulfill

Cluster pick + barcode + label

One pass, multiple orders, native labels

→

Deliver

Motorbike carrier + COD close

Handoff and same-day reconciliation

What changes, in numbers

Projected, based on cluster-pick and automated-queue benchmarks from comparable Odoo fulfillment builds.

4.5 → 2.7min

Pick-to-pack time, per order

Cluster picking fills several orders in one warehouse pass instead of one order per walk, roughly a 40% cut in the time from pick release to pack bench.

96 → 99.6%

Pick & ship accuracy

Barcode verification at every pick, backed by inbound QC that keeps bad stock off the floor in the first place, and fewer wrong-item shipments to refund or re-ship.

120 → <5min

Order-to-queue time

Manual per-channel export/import during a promotion could run up to two hours behind; the queue pulls Shopee, TikTok Shop, and Amazon orders into Odoo in near real time.

67/min

Sustained order intake at peak

The proven target: 12,000 orders and 25,000 lines absorbed in a 3-hour window without the queue falling behind or dropping a line.

3.5 hr → 25min

COD day-end reconciliation

Automated matching of cash collected against parcels shipped replaces a manual end-of-day tally, with mismatches flagged same-day instead of surfacing at month end.

<0.5%

COD mismatch rate, post-close

What's left after automated matching is a short, specific exception list, not a spreadsheet reconciliation project.

Built for the long run

Not a one-time install. A system NGYN stays inside of, tuning it against real order data every quarter.

Phase 1 Months 1–2

Foundation

Core Odoo OMS live, all three marketplaces connected, inbound QC and cluster-pick barcode flows running on the floor. Baseline accuracy and timing numbers captured against real order volume.

Phase 2 Month 3

Peak hardening

Queue and pick flow load-tested and tuned against a live double-day promotion. The 12,000 order / 25,000 line benchmark is validated under real traffic, not a simulation.

Phase 3 Ongoing

Continuous optimization

Quarterly reviews of pick paths, queue throughput, and COD mismatch trends. Cluster-pick logic and carrier handoff rules get adjusted as SKU mix, store count, and order volume grow.

Monitoring

Queue depth, pick accuracy, and COD match rate tracked as standing metrics, not just checked after something breaks.

Capacity planning

Ahead of each major promotion, queue and warehouse throughput are checked against the new expected order volume before the day arrives.

Embedded support

NGYN operates as an extension of the Levents ops team, reachable for the pipeline the way an in-house engineer would be, not a vendor on a ticket queue.