RoboFacetRoboFacet

Warehouse Robot Selection Guide: AMR, Goods-to-Person or Picking Arm?

Compare warehouse automation approaches using order profile, SKU mix, throughput, site constraints and WMS integration.

Warehouse robots solve different bottlenecks. AMRs reduce walking, goods-to-person systems increase storage and station productivity, while picking arms target repeatable item handling.

Selection checklist

  • Orders per hour, peak-to-average ratio and expected growth.
  • SKU count, dimensions, weight, packaging and handling exceptions.
  • Brownfield constraints: aisles, floors, fire routes, lifts and charging space.
  • WMS/WES integration, inventory accuracy and exception ownership.

Recommended products

Relevant products from the RoboFacet database, with facts to verify before choosing.

Browse related products

Measure the bottleneck first

Use order-line data and a time study to identify whether travel, searching, picking, replenishment or sortation limits throughput. A robot should remove the measured constraint.

Pilot against operational KPIs

Track lines per labor hour, error rate, recovery time, robot utilization and peak stability. A successful demo route is not the same as a stable shift.

Frequently asked questions

Can warehouse robots work with an existing WMS?

Usually, but confirm APIs, task orchestration, inventory ownership and failure handling. Integration scope should be written into the pilot acceptance criteria.

How many robots should a pilot use?

Enough to test traffic, charging and orchestration—not only one robot. The exact number depends on route length, cycle time and peak demand.