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a high-volume coffee e-commerce distribution center in the Netherlands

How a Coffee Fulfillment Hub Tripled Picking Productivity at 625 Orders per Hour

An anonymized Netherlands coffee e-commerce DC replaced manual pick and pack with robotic depalletizing and picking, hitting 99.9% accuracy and 200% productivity.

200%
Productivity
99.9%
Order accuracy
625/hr
Throughput
0.06%
Reject rate

Based on a documented real-world deployment. Figures are from public reporting; the organization is not named.

Cartons moving along conveyors in a busy fulfillment warehouse like a coffee e-commerce hub.
Photo: Yetkin Ağaç

Manual pick and pack at coffee scale

A high-volume coffee e-commerce distribution center in the Netherlands fulfilled direct-to-consumer orders through a manual pick and pack line that worked when volumes were smaller. Growth in multi-blend baskets and promotional bundles made accuracy harder to hold shift after shift.

Leadership wanted automation that could flex with demand spikes without sacrificing the premium unboxing experience coffee subscribers expect. Complex orders with several capsule varieties had to stay precise even as daily order counts climbed.

  • Rising e-commerce volume on a manual line
  • Multi-SKU orders with tight accuracy targets
  • Need to scale throughput without quality slips
Workers at manual packing benches, the kind of line this coffee DC replaced with automation.
Photo: GB The Green Brand

Robotic depalletize, pick, and pack

Stacked pallets in a warehouse, echoing the depalletizing stage of the coffee sleeve flow.
Photo: Engin Akyurt

The site installed a two-stage automated line. A large gantry-style robot depalletizes boxed coffee sleeves from dozens of pallet positions and feeds them through box opening and conveyor lanes. Four delta-style pick robots place sleeves into moving order carts across four pick stations, each drawing from multiple channelized SKUs.

Software beneath the warehouse management system controls material flow, SCADA screens map the cells, and operators finish orders at packing stations where cartons are sized, accessorized, and labeled. Vendor training covered safe minor fixes, with remote and on-site support on call around the clock.

  • Depalletize inbound sleeves to open boxes
  • Pick into moving carts at high pick rates
  • Pack, accessorize, and label at human stations

Accuracy and speed after go live

Order preparation accuracy reached 99.9 percent, while customer complaints and rejections fell to 0.06 percent of orders. Throughput on the automated line runs up to 625 orders per hour, and overall productivity improved by 200 percent versus the prior manual process.

Operators gained live KPI views and error prompts on the plant floor, which made downtime visible early. The facility kept existing cartons and pallets, so packaging standards did not change even though the back end went robotic.

Labeled shipping cartons staged for parcel carriers after automated pick and pack.
Photo: Polina Tankilevitch

Lessons for US fulfillment operators

Coffee pods are not the only SKU mix that breaks manual picking. Any high-mix e-commerce or parts fulfillment with promotional bundles faces the same accuracy ceiling.

Service Robot Co. did not run this European deployment. We help US businesses select vendor-neutral warehouse robot rental and AMR or picking cells, finance them, integrate with WMS flows, train staff, and service units nationwide. A phased pilot on one pick zone can prove throughput before you expand.

Frequently asked questions

This story reflects a large Benelux-scale hub. Smaller US operators often start with one automated pick module or an AMR loop before a full depalletize line. Service Robot Co. maps a pilot to your actual SKU count and order profile.

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