Fixing the Returns Bottleneck at a Designer Fashion Brand
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How JNBY Group turned a choking returns operation into a 5,000-pieces-per-hour, 99.9%-accurate reverse-logistics engine using 56 autonomous case-handling robots.
AT A GLANCE
| Industry | Apparel — Designer Fashion (multi-brand retail group) |
|---|---|
| End Customer | JNBY Group (Jiangnanbuyi), founded 1994, headquartered in Hangzhou, China |
| Scope | Dedicated returns warehouse handling B2B quarter-end store returns, daily store returns and post-promotion e-commerce returns. |
| Technology Deployed | 56 Autonomous Case-handling Robots (ACR-L long-tote variant), 19 charging stations, 14 high-speed inbound/outbound workstations (7 loaders + 7 unloaders), 2,780 mm shelving, custom totes (600 × 440 × 280 mm). |
| Footprint | 16,000 m² total · 12,400 m² active storage · 88,000+ storage locations |
Headline Results
Before automation, the manual returns warehouse processed roughly 50 pieces per hour. After ACR deployment, sustained throughput exceeds 5,000 pieces per hour.
Executive Summary
A leading Chinese designer fashion group, JNBY (founded 1994), was buckling under the weight of multi-channel returns. Returns volume swung violently between quarter-end B2B store transfers, daily store returns and post-promotion e-commerce surges, and every garment had to be sorted by brand, style, size, colour and condition before it could be regraded, resold or transferred.
The fix was a purpose-built returns warehouse — not a shared forward-logistics facility — anchored on a fleet of 56 ACR-L (long-tote) Autonomous Case-handling Robots, 14 dedicated loader/unloader workstations and 88,000+ storage locations across 12,400 m².
The result: throughput rose from ~50 to 5,000+ pieces per hour (a 100× improvement), picking accuracy reached 99.9%, and the returns cycle shortened enough to free up working capital and put still-sellable garments back on the B2C site faster.
The Challenge — Why Designer-Fashion Returns Were Choking the Operation
JNBY Group operates a portfolio of designer apparel brands across physical retail and e-commerce. As online channels grew, returns became the operation’s choke point. Three pain points compounded each other:
- 1
Violent, uneven returns volume A trickle most days, with sharp peaks at B2B quarter-end store returns, daily store returns and again after every e-commerce promotion. Manual labour cannot economically be staffed for the peak.
- 2
Enormous SKU mix requiring multi-level sortation Every returned garment had to be sorted by brand, style, size, colour and condition before it could be graded for resale, transferred between channels, or discounted.
- 3
Slow inventory cycle on returns Garments sat in the reverse-logistics warehouse for weeks, tying up working capital, blocking new seasonal flow, and delaying re-listing of still-sellable inventory on the B2C site — directly hurting sales.
The manual warehouse was simply not built for the volume or the mix. Without intervention, returns would continue to drag down the margin gains the group was making on the outbound side.
The Solution — A Built-for-Returns Automation Blueprint
Allied Automation partners deployed a dedicated returns warehouse built around a fleet of long-tote Autonomous Case-handling Robots (ACR), paired with high-throughput loader and unloader stations.
System Specifications
| Parameter | Value |
|---|---|
| Robot fleet | 56 × ACR-L (Autonomous Case-handling Robots, long-tote variant) |
| Charging stations | 19 |
| Workstations | 14 (7 inbound loaders + 7 outbound unloaders) |
| Shelving height | 2,780 mm |
| Tote dimensions | 600 × 440 × 280 mm (custom) |
| Total facility footprint | 16,000 m² |
| Active storage area | 12,400 m² |
| Storage locations | 88,000+ |
| Sustained throughput | 5,000+ pieces / hour |
| Picking accuracy | 99.9% |
| Workflows handled | B2B quarter-end store returns; daily store returns; post-promotion e-commerce returns |
The Results
The returns warehouse went from being JNBY’s biggest operational drag to one of the most productive reverse-logistics operations in the apparel industry.
Why It Matters For Apparel Brands With High Return Rates
Returns are the silent killer of fashion e-commerce margins. Return rates of 20–40% are normal in apparel. Every returned garment needs graded inspection and multi-level sortation, and slow returns processing ties up working capital and blocks the next season.
Most returns warehouses are still run the way they were a decade ago — rows of manual shelves, paper or handheld-driven sortation, and labour that scales linearly with volume.
This project shows what built-for-returns automation actually looks like:
The result is reverse logistics that can keep up with forward logistics. For any apparel brand or 3PL where return rates are eating into the bottom line, this blueprint is directly transferable.
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