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.
orders in a 3-hour window
order lines in the same window
marketplaces, one queue
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: a single promotion day can outsell a normal week. That is the design constraint for this build. Order intake, picking and courier handoff all have to hold their accuracy at 10x normal load, not just at steady state.
Sequenced the way stock actually moves through the warehouse.
A full quality-control workflow for every inbound shipment: quantity, condition and SKU accuracy verified before stock is released as sellable. It is the checkpoint the rest of the pipeline has to be able to trust.
Full order detail, including per-channel financial data, pulled from all three marketplaces into Odoo. Built on an Amazon-queue architecture engineered for double-day load: 12,000 orders and 25,000 lines inside 3 hours, without dropped or duplicated lines.
A cluster-pick strategy in Odoo's barcode app fills several orders in one warehouse pass, with each platform's native shipping label printed at the pack bench, cutting travel time and pick errors together.
Direct integration with the local motorbike carrier network for parcel handover, plus an accurate day-end consolidation for cash-on-delivery orders, matching what shipped against what was collected before the books close.
Projected, based on cluster-pick and automated-queue benchmarks from comparable Odoo fulfillment builds.
Cluster picking fills several orders per pass instead of one order per walk: roughly a 40% cut from pick release to pack bench.
Barcode verification at every pick, backed by inbound QC that keeps bad stock off the floor.
Manual per-channel export during a promotion could run two hours behind. The queue pulls orders in near real time.
The target: 12,000 orders and 25,000 lines absorbed in 3 hours without falling behind or dropping a line.
Automated matching of cash collected against parcels shipped replaces a manual tally, with mismatches flagged the same day.
What is left after automated matching is a short, specific exception list, not a spreadsheet project.
A system NGYN stays inside of, tuning it against real order data every quarter.
Core Odoo OMS live, all three marketplaces connected, inbound QC and cluster-pick barcode flows running on the floor. Baseline accuracy and timing captured against real volume.
Queue and pick flow load-tested and tuned against a live double-day promotion. The 12,000 order / 25,000 line benchmark validated under real traffic, not a simulation.
Quarterly reviews of pick paths, queue throughput and COD mismatch trends, adjusting cluster-pick logic and carrier rules as SKU mix, store count and volume grow.
Queue depth, pick accuracy and COD match rate tracked as standing metrics, not just checked after something breaks.
Before each major promotion, queue and warehouse throughput are checked against the expected order volume.
NGYN works as an extension of the Levents ops team, reachable like an in-house engineer, not a vendor on a ticket queue.
If promotion days break your order intake or warehouse flow, the queue, pick strategy and reconciliation can be designed for the burst.