Industry 01 · Online retail · D2C · Marketplace

Thousands of SKUs.
Frequent small orders.
5–10× peaks.

eCommerce operations are fundamentally different: thousands of SKUs, few-line orders, and brutal seasonality around Black Friday and holidays. We build systems that absorb the peak without halting normal operations.

Typical operation profile
Orders/day (peak)5,000 – 80,000
Lines / order1.4 – 3.0
Active SKUs5,000 – 250,000
Peak season5–10× normal
Returns rate8% – 35%

Typical pain points

What hurts eCommerce operations.

We always start from the operational problem, not the product. Here are the six recurring complaints we hear most often from prospective clients.

Foot-walking picking

Operators walk km/day between racks. Productivity below 80 lines/hour, labor costs scaling with volume.

Manual conveyor sorting

Multi-line orders need consolidation before packing. Manual = errors, delays, missed cut-off windows.

Black Friday

5–10× peak vs. normal. Seasonal hiring for manual pick no longer works — labor pool is depleted.

Unhandled returns

Up to 35% of orders return. Manual returns processing blocks space, capital, and operators.

Errors cost more

A pick mistake = unhappy client + return + complaint + bad review. Real cost of an error reaches €25–40.

Impossible to scale

Every volume increase forces layout redesign. No modularity — the operation ages faster than the company grows.

Typical eCommerce flow

Five stations. One system.

This is what a modern eCommerce DC automated by ZEDlog looks like. Each station uses a specific platform — all orchestrated by our WCS.

01
Receiving

Supplier cartons, scan, distribution to storage zones.

MCP
02
Automated storage

Goods-to-person. The operator stays put, the goods come.

AS/RS Mini Load
03
Picking & consolidation

Ergonomic stations, pick-to-light, multi-line aggregation.

MCP · WCS
04
Dispatch sorting

MX-H crossbelt splits parcels by carrier and destination.

MX-H sorter
05
Dispatch

Carrier-specific docks, ordered loading, automatic manifest.

MCP · WCS

Typical post-implementation results

Numbers we hear from real clients.

Figures from projects we've completed in Romania. Variation depends on starting state and profile — we discuss your layout during evaluation.

3–5×
picking productivity increase
−65%
dispatch errors (automated sorting)
−40%
occupied surface (AS/RS vs. rack)
18–28
months typical payback ROI

Portfolio reference

Marketplace operator · Romania · 2024.

Operations Director

"We started with the goal of doubling volume without expanding the site. The system delivered 3.2× on the same surface with half the picking team. Last year's Black Friday was the first without mandatory overtime."

Anonymized at client request · Confirmation available for 1:1 meetings
3.2×
volume increase same surface
−48%
labor force per order
22
months from start to go-live
19
months realized payback

Ready to double your volume without expanding the site?

Send us your layout + target volume + seasonality. We return a stack proposal and ROI estimate within 10 working days.